/ en Fri, 25 Apr 2025 20:38:51 -0500 Thu, 24 Apr 25 22:05:05 -0500 /concord/case-studies/mednition-adventist <div></div><div> /* Banner_Title_Overlay_Bar */ .Banner_Title_Overlay_Bar { position: relative; display: block; overflow: hidden; max-width: 1170px; margin: 0px auto 25px auto; } .Banner_Title_Overlay_Bar h1 { position: absolute; bottom: 40px; color: #003087; background-color: rgba(255, 255, 255, .8); width: 100%; padding: 20px 40px; font-size: 3em; box-shadow: 0 3px 8px -5px rgba(0, 0, 0, .6); } @media (max-width:991px) { .Banner_Title_Overlay_Bar h1 { bottom: 0px; margin: 0px; font-size: 2.5em; } } @media (max-width:767px) { .Banner_Title_Overlay_Bar h1 { font-size: 2em; text-align: center; text-indent: 0px; padding: 10px 20px; } } @media (max-width:530px) { .Banner_Title_Overlay_Bar h1 { position: relative; background-color: #63666A22; } } /* Banner_Title_Overlay_Bar // */ .Banner_Title_Overlay_Bar h1 { color: #fff; background-color: rgba(255, 255, 255, .0); box-shadow: none; } @media (max-width:530px){ .Banner_Title_Overlay_Bar h1 { background-color:#000; } } <header class="Banner_Title_Overlay_Bar"><img src="/sites/default/files/2023-06/Concord_Investing_banner1_1170x250.jpg" alt="Banner Image" width="1168" height="250"><div><h1>Adventist Health Glendale Achieves 90% Sepsis Compliance with AI</h1></div></header></div><div class="raw-html-embed"> /* CntMenuSub */ .CntMenuSub{ margin:20px 0px; padding-bottom: 5px; color: #afb1b1; letter-spacing: 1.5px; font-weight: 400; font-size: 11.2px; } .CntMenuSub a{ text-decoration:none } .CntMenuSub .CntMenuBar{ border-bottom: 1px solid lightblue; } /* if includes a logo */ @media (min-width:361px){ .CntMenuSub.CntMenuSubLogo .CntMenuBar{ margin-top: 10px; float: left; width: calc(100% - 425px); } } @media (max-width:767px) and (min-width:361px){ .CntMenuSub.CntMenuSubLogo .CntMenuBar{ float: left; width: calc(100% - 0px); } .CntMenuSub.CntMenuSubLogo img{ width: auto; } } /* // */ .CntMenuSub .CntMenuBar a:after{ content: "|"; padding: 0 3px 0 6px; color: #555; } .CntMenuSub .CntMenuBar a:last-child:after{ content: ""; } .CntMenuSub .CntMenuSubHome, .CntMenuSub .CntMenuSubParent{ text-transform: uppercase; color: #555; opacity: .9; } .CntMenuSub .CntMenuSubParent{ } .CntMenuSub .CntMenuSubChild{ } .CntMenuSub .CntMenuSubCurrent{ opacity: .7; } .CntMenuSub .CntMenuSubHome:hover, .CntMenuSub .CntMenuSubParent:hover{ text-transform: uppercase; color: #d50032; } /* CntMenuSub // */ <div class="container CntMenuSub"> <div class="col-md-1">   </div> <div class="col-md-10 row CntMenuBar"> <a class="CntMenuSubHome" id="CntMenuSubHome"></a> <a class="CntMenuSubParent" id="CntMenuSubParent" href="./"></a> <span class="CntMenuSubChild" id="CntMenuSubChild"></span> </div> <div class="col-md-1">   </div> </div> var url = window.location.pathname; var path = url.split('/').slice(-3, 2).join('/'); var pathreplace = path.replace(/-/g, " "); document.getElementById("CntMenuSubHome").innerHTML =(pathreplace); var url = window.location.pathname; var path = url.split('/').slice(-2, 3).join('/'); var pathreplace2 = path.replace(/-/g, " "); document.getElementById("CntMenuSubParent").innerHTML =(pathreplace2); var url = window.location.pathname; var path = url.split('/').slice(1, 2).join('/'); var pathreplace2 = path.replace(/-/g, " "); document.getElementById("CntMenuSubParentOnly").innerHTML =(pathreplace2); var y = document.getElementsByTagName("h1"); document.getElementById("CntMenuSubChild").innerHTML = y[0].innerHTML; </div><div class="row sp_Resource1"> .sp_Resource1 { /*padding: 25px 0 0px 0;*/ } .sp_Resource1 h2 { margin-top: 0px; } .sp_Resource1 h3 { margin: 10px 0 0 0; color: #555; font-size: .7em; text-transform: uppercase; font-weight: 400; letter-spacing: 3px; } .sp_Resource1 h4 { color: #002855; line-height: 1.2em; font-size: 30px; margin: 10px 0 15px 0 } .sp_Resource1 p, .sp_Resource1 ul li { font-size: 16px; } .sp_Resource1_holder { background-color: ; padding: 0; overflow: auto } .sp_Resource1 .sp_Resource1_holder img { margin: auto; display: block; box-shadow: 10px 10px 14px -6px rgba(0,0,0,0.75); -webkit-box-shadow: 10px 10px 14px -6px rgba(0,0,0,0.75); -moz-box-shadow: 10px 10px 14px -6px rgba(0,0,0,0.75); } @media (max-width:767px) { .sp_Resource1 .sp_Resource1_holder img { width: 100%; max-width: 150px; } } .sp_Resource1 .btn { margin-top: 20px; } .sp_Resource1_holder h2 span { color: #d50032; display: block; position: relative; font-size: .8em; } <div class="col-md-10 col-md-offset-1 sp_Resource1_holder"><div class="text-align-center col-sm-4 col-md-3"><a href="/system/files/media/file/2025/04/mednition_adventist_health_glendale-casestudy.pdf" target="_blank" title="How Adventist Health Glendale Achieved 90% Sepsis Compliance with AI using Nurse-Led Protocols"><img src="/sites/default/files/2025-04/mednition_adventist_health_glendale-casestudy-247x320.jpg" alt="Cover image" width="247" height="320"></a> </div><div class="col-sm-8 col-md-9"> Scan </h3> --><h2><span>Case Study</span> <a href="/system/files/media/file/2025/04/mednition_adventist_health_glendale-casestudy.pdf" target="_blank" title="How Adventist Health Glendale Achieved 90% Sepsis Compliance with AI using Nurse-Led Protocols">How Adventist Health Glendale Achieved 90% Sepsis Compliance with AI using Nurse-Led Protocols</a></h2><p>This case study documents how Adventist Health Glendale improved sepsis detection and treatment through AI implementation. It describes their journey from a 54% SEP-1 compliance rate to achieving 90% using Nurse-Led Protocol and KATE, an AI system that assists nurses with early sepsis recognition during triage. The study highlights challenges faced, implementation process, results achieved, and how the technology empowered nurses while reducing workload, ultimately improving patient outcomes and earning the hospital ANCC Magnet recognition with nine exemplars.</p><p><a class="btn btn-wide btn-primary" href="/system/files/media/file/2025/04/mednition_adventist_health_glendale-casestudy.pdf" target="_blank" title="How Adventist Health Glendale Achieved 90% Sepsis Compliance with AI using Nurse-Led Protocols"><span>Read Case Study</span></a><span> </span></p></div></div></div> /* y-hr3 */ .y-hr3{ clear: both; } .y-hr3 div:nth-child(2) { border-top: solid 2px lightgrey; margin: 50px 0px; height: 0px } /* y-hr3 // */ <div class="row y-hr3"><div class="col-md-3"> </div><div class="col-md-6"> </div><div class="col-md-3"> </div></div><div class="row spacer"><div class="col-sm-8 col-md-offset-2"><div><a href="https://mednition.com/solutions/?utm_source=aha&utm_medium=web&utm_campaign=aha-concord-portcos&utm_term=2025&utm_content=casestudy" target="_blank" title="Mednition "><img src="/sites/default/files/2024-03/aonl-cta-sponsor-Mednition-834x313.png" alt="Mednition logo" width="417" height="157"></a><h3><a href="https://mednition.com/solutions/?utm_source=aha&utm_medium=web&utm_campaign=aha-concord-portcos&utm_term=2025&utm_content=casestudy" target="_blank" title="Mednition">Mednition</a></h3><p>Mednition is a healthcare AI company empowering emergency nurses to save lives with KATE AI. KATE provides 24/7 clinical risk intelligence while improving operational efficiency, workforce well-being, and financial performance.</p><p>For nurses, by nurses, KATE AI has helped nurses provide care for over 2 million patients walking in through the hospital's front door.</p><p>To learn more about Mednition <a href="mailto:sreilly@mednition.com?subject=I%20would%20like%20to%20learn%20more%20about%20your%20solution&body=I%20would%20like%20to%20learn%20more%20about%20the%20work%20your%20company%20is%20doing%20with%20hospitals%20and%20health%20care%20providers." title="contact Steven Reilly">contact Steven Reilly</a>.</p></div></div></div> /* y-hr3 */ .y-hr3{ clear: both; } .y-hr3 div:nth-child(2) { border-top: solid 2px lightgrey; margin: 50px 0px; height: 0px } /* y-hr3 // */ <div class="row y-hr3"><div class="col-md-3"> </div><div class="col-md-6"> </div><div class="col-md-3"> </div></div> Thu, 24 Apr 2025 22:05:05 -0500 Artificial Intelligence (AI) /04/2025/mobilizing-technology-and-innovation-support-rural-health <div> </div>header.jumbotron {display:none} <div> /* center_body */ .center_body { /*margin-top:50px;*/ /* margin-bottom: 50px;*/ } .center_body h3 {} .center_body p { font-size: 16px } p.center_Intro { color: #002855; line-height: 1.2em; font-size: 30px; margin: 10px 0 25px 0; font-weight: 700; font-size: 2em; } @media (max-width:768px) { p.center_Intro { line-height: 1.2em; font-size: 23px; font-size: 1.45em; } } .center_body .center_Lead { color: #63666A; font-weight: 300; line-height: 1.4; font-size: 21px; } /* center_body // */ /* Banner_Title_Overlay_Bar */ .Banner_Title_Overlay_Bar { position: relative; display: block; overflow: hidden; max-width: 1170px; margin: 0px auto 25px auto; } .Banner_Title_Overlay_Bar h1 { position: absolute; bottom: 40px; color: #003087; background-color: rgba(255, 255, 255, .8); width: 100%; padding: 20px 40px; font-size: 3em; box-shadow: 0 3px 8px -5px rgba(0, 0, 0, .6); } @media (max-width:991px) { .Banner_Title_Overlay_Bar h1 { bottom: 0px; margin: 0px; font-size: 2.5em; } } @media (max-width:767px) { .Banner_Title_Overlay_Bar h1 { font-size: 2em; text-align: center; text-indent: 0px; padding: 10px 20px; } } @media (max-width:530px) { .Banner_Title_Overlay_Bar h1 { position: relative; background-color: #63666A22; } } /* Banner_Title_Overlay_Bar // */ <header class="Banner_Title_Overlay_Bar"><img src="/sites/default/files/2025-04/VED_Microsoft_banner_1170x250.png" alt="Microsoft Banner Image" width="1170" height="250"><div><h1>Mobilizing Technology and Innovation to Support Rural Health</h1></div></header>/* CntMenuSub */ .CntMenuSub{ margin:20px 0px; padding-bottom: 5px; color: #afb1b1; letter-spacing: 1.5px; font-weight: 400; font-size: .7em; } .CntMenuSub .CntMenuBar{ border-bottom: 1px solid lightblue; } .CntMenuSub .CntMenuBar a:after{ content: "|"; padding: 0 3px 0 6px; color: #555; } .CntMenuSub .CntMenuBar a:last-child:after{ content: ""; } .CntMenuSub .CntMenuSubHome, .CntMenuSub .CntMenuSubParent{ text-transform: uppercase; color: #555; opacity: .9; } .CntMenuSub .CntMenuSubParent{ } .CntMenuSub .CntMenuSubChild{ } .CntMenuSub .CntMenuSubCurrent{ opacity: .7; } .CntMenuSub .CntMenuSubHome:hover, .CntMenuSub .CntMenuSubParent:hover{ text-transform: uppercase; color: #d50032; } /* CntMenuSub // */ <div class="container CntMenuSub"><div class="col-md-1"> </div><div class="col-md-10 row CntMenuBar"><a class="CntMenuSubHome" href="/education-events/aha-virtual-executive-dialogues">AHA Knowledge Exchange</a> <span class="CntMenuSubChild" id="CntMenuSubChild">Mobilizing Technology and Innovation to Support Rural Health</span></div><div class="col-md-1"> </div></div><div class="row spacer"><div class="col-sm-3"><div><a href="/system/files/media/file/2025/04/ke-microsoft-mobilizing-tech-to-support-rural-health.pdf" target="_blank"><img src="/sites/default/files/2025-04/VED_Microsoft_cover_910x1220.jpg" alt="AHA Knowledge Exchange | Mobilizing Technology and Innovation to Support Rural Health" width="100%" height="100%"></a></div></div><div class="col-sm-9 center_body">.sponsortype { color: #9d2235; font-size: 1.5em; margin: 0px; font-weight: 700; } <p class="sponsortype">AHA Knowledge Exchange</p> Intro.............. </p> --> xxxxxx </p> --><h2>Mitigating gaps in rural health resources and the workforce</h2><p>Rural residents’ top three health concerns are mental health, substance-use disorders and health care access, according to the Rural Healthy People 2030 survey. Geographical isolation, inadequate health infrastructure and a shortage of health professionals can result in poor health outcomes in rural settings. These challenges impact rural communities and residents’ well-being both physically and emotionally. Technology and artificial intelligence (AI) can bridge these gaps in innovative ways to make health care services more accessible in rural communities and support economic stability. This Knowledge Exchange e-book provides insights on how rural health care leaders envision using technology and innovation to address these issues, as well as transform their organizations and community engagement.</p><div class="row">@media (min-width:768px){ .EDsponsorFloat{ float:right; } } @media (max-width:767px){ .EDLinkFloat{ position:relative; left:27%; } .EDsponsorFloat { text-align:center } } <div class="col-sm-6"><a class="btn btn-wide btn-primary EDLinkFloat" href="/system/files/media/file/2025/04/ke-microsoft-mobilizing-tech-to-support-rural-health.pdf" title="AHA Knowledge Exchange | Mobilizing Technology and Innovation to Support Rural Health" data-view-context="top-level-view">Download the Report</a></div><div class="col-sm-6"><div class="EDsponsorFloat"><strong>Sponsored by: </strong><a href="https://www.microsoft.com/" target="_blank" rel="noopener nofollow"><img src="/sites/default/files/2024-06/Logo_Microsoft_834x313.jpg" alt="Microsoft Logo" width="100%" height="100%"></a></div></div></div></div></div>.sp_CTA5_holder { margin-top:0px; border-bottom: solid 1px #555; padding-bottom: 50px; } .sp_CTA5_holder_last { border-bottom: solid 0px #555; } .sp_CTA5_holder >div{ overflow: auto; } .sp_CTA5_holder ul { list-style: none; /* Remove default bullets */ padding-left: 0px; /*width: calc(100% - 15%);*/ /*margin: 50px auto 0;*/ margin:auto 50px; } .sp_CTA5_holder ul li{ margin-bottom:7px; line-height: 1.5em; font-size:16px; } .sp_CTA5_holder ul li::before { content: " "; font-size: 1em; margin-right: 10px; display: inline-block; height: 12px; background-color: #9d2235; width: 12px; position: relative; top: 0px; -webkit-transform: rotate(45deg); -moz-transform: rotate(45deg); -o-transform: rotate(45deg); } .sp_CTA5_holder ul li{ padding-left:23px; text-indent:-23px; } .body ol>li, .body ul>li{ font-size:16px: } .sp_CTA5_holder h2 { color: #002855; /*! line-height: 2em; */ font-size: 2.15em; margin: 0 0 15px 0; /*! font-size: 30px; */ } .sp_CTA5_holder h3 { /*color: #002855;*/ line-height: 1em; /*font-size: 1.5em;*/ margin-bottom: 25px; margin-top:5px; font-size: 28px; } .sp_CTA5_section{ margin-top: 25px } .sp_CTA5_ImgShadow { /*background-color:green;*/ /* just a visual */ text-align: center } .sp_CTA5_ImgShadow { padding-bottom:75px; /* must match the padding on the img*/ margin: 0px; } .sp_CTA5_ImgShadow img{ width: calc(100% - 35px - 15px); -webkit-box-shadow: 50px -75px 0px 0px rgba(185, 217, 235, 1); -moz-box-shadow: 50px -75px 0px 0px rgba(185, 217, 235, 1); box-shadow: 50px -75px 0px 0px rgba(185, 217, 235, 1); position: relative; top: 75px; max-width: 490px; } @media (max-width:990px){ .sp_CTA5_ImgShadow img{ max-width: 350px;} } @media (max-width:990px){ .sp_CTA5_ImgShadow { padding-bottom:75px; /* must match the padding on the img*/ margin: 0px; margin-right: 40px } } <div class="row spacer sp_CTA5_holder sp_CTA5_holder_last"><div class="col-md-12"><h3>10 strategies and technology investments rural health leaders prioritize to attract clinicians and expand health services in their communities</h3><div class="sp_CTA5_section"><ul><li>Communicate and commit to a <strong>digital health vision</strong> in the hospital strategic plan and educate the community on specifics being implemented and the big picture.</li><li>Form an <strong>interdisciplinary digital health and AI steering committee</strong> with an executive sponsor to vet technology and look at each solution for security, ethics and operational issues.</li><li><strong>Partner with specialty programs</strong> such as teleneonatal intensive care, teleneuro and telepharmacy. Collaborate with other hospitals and emergency medical service providers.</li><li>Work on <strong>processes that can be repeatable and scalable</strong> for clinical workflows and claims processing.</li><li><strong>Select AI technology designed to fit easily into clinical teams’ day-to-day workflows</strong> inside the electronic health record and does not detract from patient-clinician interactions.</li><li><strong>Address nursing shortages with virtual integrated nursing care models</strong>. Use team models for inpatient rounding to improve patient experience.</li><li><strong>Create a telepsychiatry hub</strong> for perinatal patients. Offer virtual medical and behavioral health services in schools.</li><li>Develop patient education materials and videos using AI tools to <strong>address the health literacy gap</strong>.</li><li><strong>Pilot AI programs</strong> like MindUP, Mental Health First Aid and Youth Mental Health First Aid to expand access to vital assessments.</li><li>Use Findhelp or Unite Us to <strong>connect the hospital and clinics to community-based organizations</strong>.</li></ul></div></div></div><h2>Participants</h2>/* people */ .people { margin-top: 50px; } .people img:nth-child(1) { border-radius: 200px; -moz-border-radius: 200px; -webkit-border-radius: 200px; margin-bottom: 10px; max-width:200px; /* for Transformation Talks */ display:block; /* for Transformation Talks */ margin:auto; /* for Transformation Talks */ } .people img:nth-child(1):hover { opacity: .7 } @media (max-width:991px) { .people { margin: auto; } .people p { text-align: center } } .ci_profile { margin-bottom: 30px; display: block; text-align:center /* this is for the "Executive Dialogue" page */ } @media (max-width:991px) { .ci_profile { text-align: center } } .ci_profile p { margin: 0 0 7px 0 } .ci_profile_name { font-weight: 700; font-size: 20px; } p.ci_profile_name { font-size: 1.5em; line-height:1.2em; margin-top:10px } .ci_profile_title { font-style: italic; line-height: 1.3em } .ci_profile_company { font-size: 1em; } p.ci_profile_award { font-size: .8em; text-align:center; color:#55555599; font-weight: 700 } .ci_profile_social { width: auto; } .ci_profile_social i { padding-right: 25px; font-size: 20px } .ci_profile_social a:last-of-type i { padding-right: 0px; } #ci_footer-social { font-size: 1.5em; padding-top: 0px; width: 100%; text-align: right; } @media (max-width:991px) { .ci_logo { margin-top: 25px } .ci_social p { text-align: center !important; } #ci_footer-social { text-align: center } } @media (min-width:769px){ .people .rowEqual_768 { display: -webkit-box; display: -webkit-flex; display: -ms-flexbox; display: flex; flex-wrap: wrap; } .people .rowEqual_768>[class*='col-'] { -ms-flex: 3; /* IE 10 */ flex: inherit; /*flex*/ width: calc((100% / 3) - 2px) /*Adjust % for the number per row, will override the bootstrap - Also needed for Safari*/; } } @media (max-width:767px) and (min-width:361px){ .people .rowEqual_768 { display: -webkit-box; display: -webkit-flex; display: -ms-flexbox; display: flex; flex-wrap: wrap; } .people .rowEqual_768>[class*='col-'] { -ms-flex: 1; /* IE 10 */ flex: auto; width: calc((100% / 2) - 2px) /*Adjust % for the number per row, will override the bootstrap - Also needed for Safari*/; } } p.ci_profile_name { font-size: 1.5em; line-height:1.2em; margin-top:10px } .people .ci_profile_combined{ font-size:14px; line-height: 18px; } .people .ci_profile_combined span{ font-style: italic; } .people .ci_profile_combined:before{ content:""; border-bottom: solid 1px #55555522; display: block; clear: both; width: 85%; margin: 5PX auto 10px; } <div class="people"><div class="row rowEqual_768"><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Bourland_Trent_300x300.jpg" alt="Trent Bourland" width="300" height="300"><p class="ci_profile_name">Trent Bourland</p><p class="ci_profile_title">CEO</p><p class="ci_profile_company">Coal County General Hospital</p> profile_combined </p> <p class="ci_profile_award"> profile_award </p> <div class="ci_profile_social"> profile_social </div> --></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Boyd_Melanie_300x300.jpg" alt="Melanie Boyd" width="300" height="300"><p class="ci_profile_name">Melanie Boyd</p><p class="ci_profile_title">CEO</p><p class="ci_profile_company">Clarke County Hospital</p> profile_combined </p> <p class="ci_profile_award"> profile_award </p> <div class="ci_profile_social"> profile_social </div> --></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Davis_Jeremy_300x300.jpg" alt="Jeremy P. Davis" width="300" height="300"><p class="ci_profile_name">Jeremy P. Davis, MHA</p><p class="ci_profile_title">President and CEO</p><p class="ci_profile_company">Grande Ronde Hospital and Clinics</p> profile_combined </p> <p class="ci_profile_award"> profile_award </p> <div class="ci_profile_social"> profile_social </div> --></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Dybdal_Landon_300x300.jpg" alt="Landon M. Dybdal" width="300" height="300"><p class="ci_profile_name">Landon M. Dybdal</p><p class="ci_profile_title">CEO</p><p class="ci_profile_company">Lake Health District</p> profile_combined </p> <p class="ci_profile_award"> profile_award </p> <div class="ci_profile_social"> profile_social </div> --></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Kreofsky_Laura_300x300.jpg" alt="Laura Kreofsky" width="300" height="300"><p class="ci_profile_name">Laura Kreofsky</p><p class="ci_profile_title">Director, Rural Health Resiliency</p><p class="ci_profile_company">Microsoft</p> profile_combined </p> <p class="ci_profile_award"> profile_award </p> <div class="ci_profile_social"> profile_social </div> --></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Lively_Corey_300x300.jpg" alt="Corey G. Lively" width="300" height="300"><p class="ci_profile_name">Corey G. Lively</p><p class="ci_profile_title">CEO</p><p class="ci_profile_company">Great Plains Regional Medical Center</p> profile_combined </p> <p class="ci_profile_award"> profile_award </p> <div class="ci_profile_social"> profile_social </div> --></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Lutz_Carrie_300x300.jpg" alt="Carrie Lutz" width="300" height="300"><p class="ci_profile_name">Carrie Lutz, R.N.</p><p class="ci_profile_title">CEO</p><p class="ci_profile_company">Holton Community Hospital</p> profile_combined </p> <p class="ci_profile_award"> profile_award </p> <div class="ci_profile_social"> profile_social </div> --></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Mallet_Teresa_300x300.jpg" alt="Teresa Mallett" width="300" height="300"><p class="ci_profile_name">Teresa Mallett, MHA</p><p class="ci_profile_title">CEO</p><p class="ci_profile_company">Madison Regional Health System</p><div class="ci_profile_social"> </div></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/McCormack_Holly_300x300.jpg" alt="Holly McCormack" width="300" height="300"><p class="ci_profile_name">Holly McCormack, DNP, R.N.</p><p class="ci_profile_title">President and CEO</p><p class="ci_profile_company">Cottage Hospital</p><div class="ci_profile_social"> </div></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Mills_Dora_300x300.jpg" alt="Dora Anne Mills" width="300" height="300"><p class="ci_profile_name">Dora Anne Mills, M.D., MPH, FAAP</p><p class="ci_profile_title">Chief health improvement officer</p><p class="ci_profile_company">MaineHealth</p><div class="ci_profile_social"> </div></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Pitcher_Gratia_300x300.jpg" alt="Gratia L. Pitcher" width="300" height="300"><p class="ci_profile_name">Gratia L. 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src="/sites/default/files/2025-04/Ward_Josiah_300x300.jpg" alt="Josiah Ward" width="300" height="300"><p class="ci_profile_name">Josiah Ward, D.O., FAAP</p><p class="ci_profile_title">Chief medical officer</p><p class="ci_profile_company">La Esperanza Clinic</p><div class="ci_profile_social"> </div></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Weeks_Bill_300x300.jpg" alt="Bill Weeks" width="300" height="300"><p class="ci_profile_name">William (Bill) Weeks, M.D., PhD, MBA</p><p class="ci_profile_title">Director, AI for Health</p><p class="ci_profile_company">Microsoft</p><div class="ci_profile_social"> </div></div><div class="col-md-4 col-sm-6 ci_profile"><img src="/sites/default/files/2025-04/Wehrman_Doug_300x300.jpg" alt="Doug Wehrman" width="300" height="300"><p class="ci_profile_name">Doug Wehrman, PT, DPT</p><p class="ci_profile_title">Chief operating officer</p><p class="ci_profile_company">Brodstone Healthcare</p><div 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.feedEmbedImg .views-element-container h2{ margin-top:0px; color: } .feedEmbedImg .views-element-container .views-field.views-field-created{ color: } .feedEmbedImg .views-element-container .views-field.views-field-title a{ font-size: 20px; color:#002855 } .feedEmbedImg .views-element-container .views-field.views-field-body{ font-size: 16px; color:; } .feedEmbedImg .views-element-container .article.views-row { display: inline-block; transition: 1s; } .feedEmbedImg .views-element-container img{ float: left; margin-right:15px; max-width: 200px ; transition: 2s; } .feedEmbedImg .resource-block .resource-view .views-row:hover{ transform: scale(1.02); } .feedEmbedImg .resource-block .resource-view .views-row:hover img{ opacity: .6; transition: 1.5s; } .feedEmbedImg .resource-block .resource-view .views-row:hover a{ color:#307fe2; } .feedEmbedImg .feedEmbedImg .views-element-container .more-link{ font-size: 1.3em; text-align: right; } .feedEmbedImg .more-link{ text-align: right } @media 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datetime="2024-12-10T16:11:13-06:00">Dec 10, 2024</time> </span> </div><div class="views-field views-field-title"> <span class="field-content"><a href="/member-knowledge-exchange/2024-12-11/resilient-health-system-operating-model" hreflang="en">The Resilient Health System Operating Model</a></span> </div><div class="views-field views-field-body"> <div class="field-content">Health system leaders are building a robust governance and resilient operating model to transform health care delivery models for the future.</div> </div></div> <div class="article views-row"> <div class="views-field views-field-field-page-title-background"> <div class="field-content sed-thumb"> <a href="/member-knowledge-exchange/2024-12-06/optimize-your-hospitals-revenue-cycle-efficient-patient-centered-operations" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/small_200x200/public/2024-12/KnowEx_RI_RevenueCycle_620x381_rev1.jpg?itok=42C41VMq" width="200" height="123" alt="KnowEx_RI_RevenueCycle_620x381_rev1" /> </a> </div> </div><div class="views-field views-field-created"> <span class="field-content"><time datetime="2024-12-05T14:26:53-06:00">Dec 5, 2024</time> </span> </div><div class="views-field views-field-title"> <span class="field-content"><a href="/member-knowledge-exchange/2024-12-06/optimize-your-hospitals-revenue-cycle-efficient-patient-centered-operations" hreflang="en">Optimize Your Hospital’s Revenue Cycle for Efficient, Patient-Centered Operations</a></span> </div><div class="views-field views-field-body"> <div class="field-content">Optimizing hospital’s revenue cycle for efficient, patient-centered operations and enhancing critical KPIs using AI and robotic process automation.</div> </div></div> <div class="article views-row"> <div class="views-field views-field-field-page-title-background"> <div class="field-content sed-thumb"> <a href="/2024-11-14/empowering-patient-engagement-and-behavior-change-improve-health-and-reduce-disparities" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/small_200x200/public/2024-11/VED_PatientPoint_Engagement_620x381.jpg?itok=dHKIfRK6" width="200" height="123" alt="PatientPoint_Engagement_620x381" /> </a> </div> </div><div class="views-field views-field-created"> <span class="field-content"><time datetime="2024-11-13T15:51:45-06:00">Nov 13, 2024</time> </span> </div><div class="views-field views-field-title"> <span class="field-content"><a href="/2024-11-14/empowering-patient-engagement-and-behavior-change-improve-health-and-reduce-disparities" hreflang="en">Empowering Patient Engagement and Behavior Change to Improve Health and Reduce Disparities</a></span> </div><div class="views-field views-field-body"> <div class="field-content">Empowering patient engagement and leveraging customized communication and education via digital technologies to improve health and reduce disparities.</div> </div></div> <div class="article views-row"> <div class="views-field views-field-field-page-title-background"> <div class="field-content sed-thumb"> <a href="/2024-10-30/aligning-payers-and-partners-value-based-care" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/small_200x200/public/2024-10/KnowEx_CorroHealthh_Medicaid_620x381.jpg?itok=HS9Y48c8" width="200" height="123" alt="KnowEx_CorroHealth_Medicaid" /> </a> </div> </div><div class="views-field views-field-created"> <span class="field-content"><time datetime="2024-10-29T15:17:14-05:00">Oct 29, 2024</time> </span> </div><div class="views-field views-field-title"> <span class="field-content"><a href="/2024-10-30/aligning-payers-and-partners-value-based-care" hreflang="en">Aligning Payers and Partners for Value-based Care</a></span> </div><div class="views-field views-field-body"> <div class="field-content">As value-based care models grow, hospitals, providers and payers need to align goals and incentives to improve patient outcomes and reduce costs.</div> </div></div> <div class="article views-row"> <div class="views-field views-field-field-page-title-background"> <div class="field-content sed-thumb"> <a href="/2024-09-26/transforming-behavioral-health-journey" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/small_200x200/public/2024-09/Iris-Telehealth-banner-620x381.jpg?itok=QQ9C-7Mp" width="200" height="123" alt="Iris-Telehealth-banner-620x381" /> </a> </div> </div><div class="views-field views-field-created"> <span class="field-content"><time datetime="2024-09-25T14:49:38-05:00">Sep 25, 2024</time> </span> </div><div class="views-field views-field-title"> <span class="field-content"><a href="/2024-09-26/transforming-behavioral-health-journey" hreflang="en">Transforming the Behavioral Health Journey</a></span> </div><div class="views-field views-field-body"> <div class="field-content">Transforming the behavioral health journey with strategic initiatives to build a sustainable and coordinated behavioral health services continuum.</div> </div></div> </div> </div> <div class="more-link"><a href="/aha-knowledge-exchange-archive">View All: AHA Knowledge Exchange</a></div> </section> </div> </div></div> Thu, 24 Apr 2025 12:41:52 -0500 Artificial Intelligence (AI) /aha-center-health-innovation-market-scan/2025-04-22-rapidly-advancing-multiagent-ai-apps-could-reshape-operations-efficiency <div class="container"><div class="row"><div class="col-md-8"><img src="/sites/default/files/inline-images/Rapidly-Advancing-Multiagent-AI-Apps-Could-Reshape-Operations-Efficiency.png" data-entity-uuid="78a574f0-a506-4bf8-bce7-bcc34cf956e7" data-entity-type="file" alt="Rapidly Advancing Multiagent AI Apps Could Reshape Operations Efficiency. Artificial Intelligence (AI) head surrounded by medical icons." width="1200" height="677"><p>Early adopters in health care have begun to capitalize on artificial intelligence (AI) advancements by moving from chatbots to single-agent and multiagent systems working across multiple functions.</p><p>AI agents hold transformative potential to accelerate the evolution of health care by augmenting decision-making, personalizing care and automating repetitive tasks, Biju Samkutty, chief operating officer of international and enterprise automation at Mayo Clinic in Rochester, Minnesota, recently noted in an <a href="https://www.beckershospitalreview.com/healthcare-information-technology/ai/healthcare-enters-ai-agent-era/" target="_blank" title="Becker's Hospital Review: Healthcare enters AI agent era">interview</a>.</p><p>These agents can analyze large amounts of patient data, including medical histories, imaging and genetic profiles, to provide clinicians with real-time, evidence-based insights.</p><p>Beyond clinical applications, AI agents can optimize health care operations, improving efficiency and accessibility. Google Cloud, for example, recently launched a couple of <a href="https://cloud.google.com/blog/products/ai-machine-learning/build-and-manage-multi-system-agents-with-vertex-ai?e=48754805" target="_blank" title="Google Cloud: Vertex AI offers new ways to build and manage multi-agent systems">new tools</a> and services in its Vertex AI platform. The launches include an agent development kit and Agent2Agent protocol that enable a multiagent ecosystem. Google's cloud division also unveiled enhancements to Agentspace, a platform announced in December that provides AI-enabled search capabilities and agents to enterprise customers.</p><p>The tech giant also announced its Agent Garden, a hub where organizations can access pre-built AI agents.</p><p>AI purpose-built agents are rapidly advancing, Aashima Gupta, global director of health care strategy and solutions at Google Cloud, recently told Fierce Healthcare.</p><p>Google sees AI agents as intelligent collaborators that can streamline operations, increase efficiency and improve patient care. Multiagent AI systems are seen as the next frontier in health care.</p><p>Even as many providers are still honing their AI strategies, Hackensack Meridian Health in New Jersey is implementing AI agents and search tools to cut the time spent on administrative tasks, simplify workflows and improve patient care.</p><p>Hackensack Meridian foresees using agents to improve the patient scheduling experience, though the system isn’t fully there yet, Sameer Sethi, the health system’s chief AI and insights officer, noted in a <a href="https://www.healthcaredive.com/news/google-cloud-ai-agentic-tools/744902/" title="Heathcare Dive: Google Cloud expands AI agent tools for healthcare" target="">Healthcare Dive interview</a>.</p><p>He envisions agents managing complex scheduling situations, such as when a patient needs an appointment with an orthopedic doctor, a ride to the office, an available wheelchair or assistance picking up medications. While the health system offers those services, it typically would take separate calls to arrange them — while agents could collaborate to handle those requests.</p><p>“That is how we think about agentic space,” Sethi says. “We are orchestrating different activities and different technologies to all work together.”</p></div><div class="col-md-4"><p><a href="/center" title="Visit the AHA Center for Health Innovation landing page."><img src="/sites/default/files/inline-images/logo-aha-innovation-center-color-sm.jpg" data-entity-uuid="7ade6b12-de98-4d0b-965f-a7c99d9463c5" alt="AHA Center for Health Innovation logo" width="721" height="130" data-entity- type="file" class="align-center"></a></p><p><a href="/center/form/innovation-subscription"><img src="/sites/default/files/2019-04/Market_Scan_Call_Out_360x300.png" data-entity-uuid data-entity-type alt width="360" height="300"></a></p></div></div></div>.field_featured_image { position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } .featured-image{ position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } h2 { color: #9d2235; } Tue, 22 Apr 2025 06:00:00 -0500 Artificial Intelligence (AI) /2025-04-15-3-ways-ai-could-aid-behavioral-health-screenings <div class="container"><div class="row"><div class="col-md-8"><img src="/sites/default/files/inline-images/3-Ways-AI-Could-Aid-Behavioral-Health-Screenings.png" data-entity-uuid="2e87914e-4e41-4bf3-b5bc-6aeed9b0307f" data-entity-type="file" alt="3 Ways AI Could Aid Behavioral Health Screenings. A woman suffering from behavioral health issues is assisted by an artificial intelligence (AI) bot." width="1200" height="751"><p>Using artificial intelligence (AI) to supplement traditional behavioral health screenings is gaining momentum in primary care.</p><p>Some areas being explored include: predicting risks among adolescents that they could experience mental illness; reducing readmissions by screening patients and treating if they test positive for opioid-use disorder; and implementing AI therapy chatbots to supplement cognitive therapy.</p><p>The tools typically are designed to address common challenges providers face, such as improving efficiency and workforce shortages. And while many of these applications can extend access to care, they are not a replacement for providers. Here are several recent developments that caught our eye.</p><h2><span><img src="/sites/default/files/inline-images/Brain.png" data-entity-uuid="e427e822-33d7-4e9b-a979-b438d55372ee" data-entity-type="file" alt="Predicting Risks, Potential Causes of Adolescent Mental Illness, Brain." width="75" height="98" class="align-left">1</span> <span>|</span> Predicting Risks, Potential Causes of Adolescent Mental Illness</h2><p>An <a href="https://corporate.dukehealth.org/news/ai-model-predicts-risks-and-potential-causes-adolescent-mental-illness" target="_blank" title="Duke Health: AI Model Predicts Risks and Potential Causes of Adolescent Mental Illness">AI model</a>, developed by Duke Health researchers, accurately predicted when adolescents were at high risk for future serious mental health issues before symptoms become severe.</p><p>Unlike prior models that primarily rely on existing symptoms, the AI model identified underlying causes, such as sleep disturbances and family conflict, as indicators to prescribe preventive interventions. The capability to identify early warning signs and proactively intervene with prophylactic treatments could greatly expand access to mental health services, with assessments and care available through primary care providers, researchers said.</p><p>The AI model could be used in primary care settings, enabling pediatricians and other providers to know immediately whether the child in front of them is at high risk and empowering them to intervene before symptoms escalate, notes Jonathan Posner, M.D., professor of psychiatry and behavioral sciences at Duke and senior author of a <a href="https://www.nature.com/articles/s41591-025-03560-7" target="_blank" title="Nature Medicine: Prediction of mental health risk in adolescents">study published recently in Nature Medicine</a>.</p><p>Posner and colleagues analyzed psychosocial and neurobiological factors associated with mental illness using data from an ongoing study that conducted psychosocial and brain development assessments of more than 11,000 children over five years.</p><p>Using AI, the researchers built a neural network — a model that mimics brain connections — to predict which children would transition from lower to higher psychiatric risk within a year. That model then is used to score a questionnaire that ranks responses from the patient or parent about current behaviors, feelings and symptoms, to predict the likelihood of an escalation.</p><h3>Takeaway</h3><p>The model was 84% accurate in identifying patients in the study whose illness escalated within the next year, the study found. Duke researchers analyzed an alternative model that identified the potential mechanisms that might lead to or trigger worsening mental illness. With an accuracy rate of 75%, the new modeling system’s ability to identify underlying causes can alert doctors and families to potential interventions, researchers conclude.</p><h2><span><img src="/sites/default/files/inline-images/Opioids.png" data-entity-uuid="67dde24e-842c-45f8-8349-63c8a0f78794" data-entity-type="file" alt="Reducing Readmissions by Screening for Opioid-Use Disorder. Opioid pills and capsules." width="75" height="98" class="align-left">2</span> <span>|</span> Reducing Readmissions by Screening for Opioid-Use Disorder</h2><p>The National Institutes of Health April 3 released a <a href="https://www.nih.gov/news-events/news-releases/ai-screening-opioid-use-disorder-associated-fewer-hospital-readmissions" target="_blank" title="National Institutes of Health (NIH): AI screening for opioid use disorder associated with fewer hospital readmissions">study</a> that found that an AI intelligence screening tool was as effective as health care providers in identifying hospitalized adults at risk for opioid-use disorder and referring them to inpatient addiction specialists.</p><p>When compared with patients who received consultations with providers, patients screened by AI had 47% lower odds of hospital readmission within 30 days after their initial discharge, saving nearly $109,000 in care costs.</p><p>The study, published in Nature Medicine, reports the results of a completed clinical trial, demonstrating AI’s potential to affect patient outcomes in real-world health care settings. The study suggests that investment in AI may be a promising strategy specifically for health systems seeking to increase access to addiction treatment while improving efficiencies and saving costs.</p><p>The AI screener was built to recognize patterns in data, like how our brains process visual information. It analyzed information within all the documentation available in the electronic health records in real time, such as clinical notes and medical history, to identify features and patterns associated with opioid-use disorder. Upon identification, the system issued an alert to providers when they opened patients’ medical charts with recommendations to order addiction medicine consultation and to monitor and treat withdrawal symptoms.</p><h3>Takeaway</h3><p>The trial found that AI-prompted consultation was as effective as provider-initiated consultation, ensuring no decrease in quality while offering a more scalable and automated approach. Specifically, the study showed that 1.51% of hospitalized adults received an addiction medicine consultation when health care professionals used the AI screening tool, compared with 1.35% without the assistance of the AI tool. Additionally, the AI screener was associated with fewer 30-day readmissions, with approximately 8% of hospitalized adults in the AI screening group being readmitted to the hospital, compared with 14% in the traditional provider-led group.</p><h2><span><img src="/sites/default/files/inline-images/Chatbot.png" data-entity-uuid="63b600b4-552e-4fe7-a435-766d68b69d71" data-entity-type="file" alt="Deploying AI Therapy Chatbots vs. Standard Cognitive Therapy. Chatbot." width="75" height="98" class="align-left">3</span> <span>|</span> Deploying AI Therapy Chatbots vs. Standard Cognitive Therapy</h2><p>Generative AI (GenAI) chatbots hold promise for building highly personalized, effective mental health treatments at scale, while also addressing user engagement and retention issues common among digital therapeutics, notes a recent <a href="https://ai.nejm.org/doi/full/10.1056/AIoa2400802" target="_blank" title="NEJM AI: Randomized Trial of a Generative AI Chatbot for Mental Health Treatment">NEJM AI study</a>.</p><p>The randomized-control trial study of Therabot by Dartmouth College researchers found “significantly greater reductions of symptoms” for major depressive disorder, generalized anxiety disorder and those at high risk for eating disorders.</p><p>Trial participants felt they could trust the therapy chatbot to a degree that was comparable to working with a real therapist, notes a press release from Dartmouth.</p><h3>Takeaway</h3><p>Fine-tuned GenAI chatbots offer a feasible approach to delivering personalized mental health interventions at scale, but further research with larger clinical samples is needed to confirm their effectiveness and generalizability, the study notes.</p><p>Michael Heinz, M.D., the study’s first author and an assistant professor of psychiatry at the Dartmouth College Center for Technology and Behavioral Health and the Geisel School of Medicine, said that “no generative AI agent is ready to operate fully autonomously in mental health.” He highlighted, “We still need to better understand and quantify the risks associated with generative AI used in mental health contexts.”</p><hr><h2>Learn More</h2><p>Visit the <a href="/advocacy/access-and-health-coverage/access-behavioral-health">AHA Behavioral Health website</a> to access a wealth of resources, including reports on child and adolescent mental health, rural behavioral health issues and more. Also, read the AHA Insights report <a href="/center/emerging-issues/market-insights/ai/building-and-implementing-artificial-intelligence-action-plan-health-care">“Building and Implementing an Artificial Intelligence Action Plan for Health Care”</a> for information on how AI can transform your operations.</p></div><div class="col-md-4"><p><a href="/center" title="Visit the AHA Center for Health Innovation landing page."><img src="/sites/default/files/inline-images/logo-aha-innovation-center-color-sm.jpg" data-entity-uuid="7ade6b12-de98-4d0b-965f-a7c99d9463c5" alt="AHA Center for Health Innovation logo" width="721" height="130" data-entity- type="file" class="align-center"></a></p><p><a href="/center/form/innovation-subscription"><img src="/sites/default/files/2019-04/Market_Scan_Call_Out_360x300.png" data-entity-uuid data-entity-type alt width="360" height="300"></a></p></div></div></div>.field_featured_image { position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } .featured-image{ position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } h2 { color: #9d2235; } h3 { color: #9d2235; } Tue, 15 Apr 2025 06:15:00 -0500 Artificial Intelligence (AI) /aha-center-health-innovation-market-scan/2025-04-15-future-hospital-data-could-be-simple-asking-question <div class="container"><div class="row"><div class="col-md-8"><p><img src="/sites/default/files/inline-images/The-Future-of-Hospital-Data-Could-Be-as-Simple-as-Asking-a-Question.png" data-entity-uuid="b35df2e0-00da-4ee8-8f2a-f38e0b87f9db" data-entity-type="file" alt="The Future of Hospital Data Could Be as Simple as Asking a Question. A user of AHA DataQuery AI builds a report from hospital data included in the platform." width="1200" height="569"></p><p>In a field as complex and vital as health care, access to information isn't just a matter of convenience — it’s often the difference between reactive decisions and forward-looking strategy. Yet for decades, even the best data come with a caveat: It takes expertise, time and tools to extract meaning from the numbers.</p><p>Now, with the emergence of generative AI, that dynamic is shifting. <a href="https://www.ahadata.com/dataquery-ai" target="_blank" title="AHA DataQuery AI landing page">AHA DataQuery AI™</a> builds on the ���������� Association’s <a href="https://www.ahadata.com/aha-annual-survey-database" target="_blank" title="AHA Data & Insights: AHA Annual Survey Database landing page">annual survey data</a>, offering insights into more than 6,200 hospitals and 400 health systems. With more than 1,300 data points, the database covers a broad spectrum of information, including hospital demographics, service-line offerings, staffing models and population health services. These data are rigorously collected and verified, ensuring that they remain the most reliable resource for understanding the nation’s hospitals.</p><p>AHA DataQuery AI transforms how users can engage with this robust data set. Instead of combing through files or assembling pivot tables, users simply can type a question — about service availability, leadership changes, technology adoption or workforce staffing — and receive precise, source-verified answers. It can compare hospital activity across regions, visualize trends in telehealth or staffing models and reveal patterns to guide proactive decisions.</p><p>But perhaps more notable than the speed is the transparency. Each response is accompanied by full access to the underlying data and the methodology used to generate the results. This ensures not just speed, but also confidence in the quality and reliability of the insights.</p><p>The data remain the same — the AHA’s deeply vetted survey data, updated annually, augmented with Centers for Medicare & Medicaid Services cost reports. What’s different is how easily the data are now accessible to the people who need it most: those planning services, shaping policy or preparing for the future of health care.</p><p><a href="https://www.ahadata.com/dataquery-ai" target="_blank" title="AHA Data & Insights: AHA DataQuery AI landing page">Learn more and explore how it works.</a></p></div><div class="col-md-4"><p><a href="/center" title="Visit the AHA Center for Health Innovation landing page."><img src="/sites/default/files/inline-images/logo-aha-innovation-center-color-sm.jpg" data-entity-uuid="7ade6b12-de98-4d0b-965f-a7c99d9463c5" alt="AHA Center for Health Innovation logo" width="721" height="130" data-entity- type="file" class="align-center"></a></p><p><a href="/center/form/innovation-subscription"><img src="/sites/default/files/2019-04/Market_Scan_Call_Out_360x300.png" data-entity-uuid data-entity-type alt width="360" height="300"></a></p></div></div></div>.field_featured_image { position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } .featured-image{ position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } h2 { color: #9d2235; } Tue, 15 Apr 2025 06:00:00 -0500 Artificial Intelligence (AI) /advancing-health-podcast/2025-04-14-ambient-ai-technology-cleveland-clinic-reducing-physician-burnout-and-enhancing-patient <div class="raw-html-embed"></div><p>AI voice-enabled solutions are reducing physician burnout, enhancing patient interactions and transforming workflows across health care. In this conversation, Cleveland Clinic's Eric Boose, M.D., family medicine physician and associate chief medical information officer, and Rohit Chandra, Ph.D., executive vice president and chief digital officer, discuss the Clinic's initial pilot of ambient listening technology, lessons learned from implementation and what's on the horizon for AI in health care.</p><hr><div></div><div class="raw-html-embed"><details class="transcript"> <summary> <h2 title="Click here to open/close the transcript."> <span>View Transcript</span><br> </h2> </summary> <p> 00:00:01:01 - 00:00:26:19<br> Tom Haederle<br> Welcome to Advancing Health. Ambient listening technology is coming into wider use as a way to keep accurate records of the conversations between doctors and their patients. In today's podcast, we hear from two senior executives with the Cleveland Clinic about how their integration of this new application of artificial intelligence makes for better clinical notes and leads to a better experience for everyone. </p> <p> 00:00:26:21 - 00:00:55:20<br> Chris DeRienzo, M.D.<br> Hi, this is Dr. Chris DeRienzo, AHA’s chief physician executive, and I am very excited for today's podcast. We get to have a conversation about AI enabled solutions in health care, and we get to have that conversation with two individuals who are leading the way at the Cleveland Clinic. We have both Rohit Chandra, PhD, executive vice president and chief digital officer for the clinic, as well as Dr. Eric Boose, he's a family medicine physician and the associate CMIO for Cleveland Clinic. </p> <p> 00:00:55:23 - 00:01:14:12<br> Chris DeRienzo, M.D.<br> We're going to have a broad ranging conversation today. But, folks, just before we get started, I've been out on the road a lot. And I have heard from health system after health system who is implementing this ambient listening technology about the kinds of transformative outcomes that they're experiencing. And now we get to talk to folks who are seeing that firsthand. </p> <p> 00:01:14:12 - 00:01:31:20<br> Chris DeRienzo, M.D.<br> And so, Rohit, perhaps the first question is to you, as the clinic begin to think about this universe of AI enabled solutions and ambient technology, what drew you to that as an offering that you wanted to get integrated into practice, you know, as quickly as possible? </p> <p> 00:01:31:23 - 00:01:46:27<br> Rohit Chandra, Ph.D.<br> So thanks, Chris, for the question. I think that our belief is that over time, AI has the potential to impact multiple aspects of health care all the way from clinical to back office and everything in between. </p> <p> 00:01:47:00 - 00:02:18:16<br> Rohit Chandra, Ph.D.<br> The thing that is particularly intriguing about ambient solutions is that they hit a critical pain point for physicians, and they have the potential to do it in a way that is safe. So ambient listening hits a pain point where physicians often spend multiple hours a day in documentation tasks. Those are obviously necessary from a regulatory and patient care perspective, but they take a lot of time. And the technology is almost perfectly suited at streamlining that burden. </p> <p> 00:02:18:18 - 00:02:27:00<br> Rohit Chandra, Ph.D.<br> The second part of it is it can be done safely and make sure that there is human oversight so that there is no risk of any patient harm. </p> <p> 00:02:27:02 - 00:02:38:21<br> Chris DeRienzo, M.D.<br> Let's talk about implementing this kind of a solution a little bit, because I couldn't agree more of the potential for safe, and better experience is huge. But this isn't the kind of thing that you can just turn on. </p> <p> 00:02:38:21 - 00:02:50:15<br> Chris DeRienzo, M.D.<br> And so, Eric, perhaps this one to you. When you made the decision, yes, we want to pursue this technology, we want to get it into the documentation arms of our clinicians. How did you begin that evaluation process? </p> <p> 00:02:50:17 - 00:03:07:03<br> Eric Boose, M.D.<br> Yeah, we know that there's quite a few of these software companies that are out there on the marketplace now. And so we want to make sure we found the right one for us. Isro had said we want to make sure it's safe, the content is appropriate. It's really helping the physicians and not being a hindrance to their day or some new technology that's being imposed on them. </p> <p> 00:03:07:06 - 00:03:27:18<br> Eric Boose, M.D.<br> So we actually took the route of doing several pilots. We actually worked with five different ambient vendors to see which one would work well for us. We had about 50 physicians in each of those. We kind of jokingly called it like a "British Bake Off," because we were kind of having comparisons going on between five different softwares, but we thought it was important to make sure that we chose the right one for us. </p> <p> 00:03:27:20 - 00:03:41:28<br> Eric Boose, M.D.<br> And just like choosing a car, you could go with that first one. It seems to work pretty good and you'll take it. Or you want to look at a variety and really make sure that the choice you're making is a good one, because it's going to be a major decision going forward. So we actually had a lot of fun with that. </p> <p> 00:03:41:28 - 00:04:05:15<br> Eric Boose, M.D.<br> We saw a lot of different aspects of ambient software. What's available out there on the marketplace, which ones worked well? And got a lot of feedback from our pilot users. And everybody was just so excited about this technology. The idea of going from being a lot of data entry, which was a big disruptor when the HRs came on the marketplace, to having something actually doing the work for you and doing it well was super exciting. </p> <p> 00:04:05:17 - 00:04:13:04<br> Eric Boose, M.D.<br> And to your point, you know, thinking about the idea of not having to spend the extra hours and all this documentation and focusing on other patient care we'd like to do. </p> <p> 00:04:13:06 - 00:04:22:24<br> Chris DeRienzo, M.D.<br> Amen. I imagine so five different solutions, 50-ish clinicians per solution. How did you pick where to go and who to work with and which sites to do? </p> <p> 00:04:22:26 - 00:04:49:09<br> Eric Boose, M.D.<br> Yeah, I mean, we had a whole evaluation process. A lot of the things you might think of when you're trying to determine if a tool like this would be appropriate for your organization. And one of them is, you know, around documentation, we want to make sure, first of all, they're not having to spend as much time documenting or getting that documentation done in a more timely fashion, getting home better, you know, in the sense of like less time after work hours or spending more time with our family or things that you want to do rather than doing all this extra work after hours. </p> <p> 00:04:49:11 - 00:05:06:03<br> Eric Boose, M.D.<br> But we want to make sure the quality was there. So we worked with our, you know, audit folks to make sure that the notes were looking good. We were tracking what the physicians were doing, how often they were using it, what they recommended. We did some surveys around, before and after, you know, do you feel like your cognitive load is less? </p> <p> 00:05:06:03 - 00:05:25:08<br> Eric Boose, M.D.<br> Do you feel a little less burnout? Basically, do you feel more comfortable and kind of enjoying medicine again, being able to sit there, not be worried about taking notes through the whole visit, but just having that face to face conversation that we all enjoy, including the patient. The patient certainly  notices, too. Everybody seems more relaxed and it's just been going so much more smoothly. </p> <p> 00:05:25:10 - 00:05:42:14<br> Chris DeRienzo, M.D.<br> That really hits home. I remember I had this spectacular family practice physician when I was, in western North Carolina, and he could, stay totally engaged in the entire visit while continually typing away at structure documentation. And he's sort of a unicorn. There are obviously other doctors who can do that, but most of us can't do that. </p> <p> 00:05:42:17 - 00:05:56:28<br> Chris DeRienzo, M.D.<br> And so, you know, hearing that you walk through this very purposeful and intentional evaluation process. Rohit, I'm curious. How did you ultimately decide on which solution to implement? And then, what approach are you taking the implemented? </p> <p> 00:05:57:00 - 00:06:08:08<br> Rohit Chandra, Ph.D.<br> So, a couple of comments. One, I think that traditionally humans have to overextend themselves to adapt to technology and that was sort of the journey with the EHR. </p> <p> 00:06:08:11 - 00:06:40:14<br> Rohit Chandra, Ph.D.<br> The thing that's intriguing about these ambient solutions is that the technology increasingly adapts to the human interaction, and that's the appeal. So just wanted to sort of get that out there. In terms of actually piloting and then deciding what technology to go forward with, we feel that this capability is the start of a transformation journey, and we hope that this is a big decision that if you make a good decision will be transformative over time. </p> <p> 00:06:40:16 - 00:07:02:28<br> Rohit Chandra, Ph.D.<br> What that translated into was a little bit of an approach that I have in bringing technology into the organization is "try before you buy." So that's what led us to say, hey, it's important for us to pilot something as opposed to just pick a partner based on sort of a superficial assessment. So I look back and say, I'm glad we did the pilot. </p> <p> 00:07:02:28 - 00:07:23:29<br> Rohit Chandra, Ph.D.<br> We got a chance to test drive multiple technologies by hand and there's no substitute for that. And at the end of it, then you're far more confident in your solution and the capability and the potential that it has. In terms of actually piloting five vendors, we piloted with what we thought were sort of key players in the space. </p> <p> 00:07:24:01 - 00:07:44:23<br> Rohit Chandra, Ph.D.<br> I am told that there are more than 100 different companies doing it, so. Goodness! Exactly. How many survive? How many find different variations? Time will tell. But at least we try to apply some judgment on which are the prominent ones that we should test drive. Like Eric alluded to, we looked at a few different criteria. </p> <p> 00:07:44:25 - 00:08:13:06<br> Rohit Chandra, Ph.D.<br> First and foremost is the product capabilities, the quality of the transcriptions, the ability to deal with multiple languages, the ability to attribute the right conversation to the right person in the room. All of that is technology capability that needs to be done right. The second part of it is the quality of the summaries that are generated, whether for the patient, whether for the physician, all of those. You need revisions... </p> <p> 00:08:13:06 - 00:08:23:14<br> Rohit Chandra, Ph.D.<br> how accurate and how complete is it? is a second consideration. Integration with the EMR so that the workflows are relatively smooth and not cumbersome is essential. </p> <p> 00:08:23:21 - 00:08:33:16<br> Chris DeRienzo, M.D.<br> Let's pause there for a second, because I know there are many different possible solutions. But as we get into sort of the next part of our conversation, which solution did you ultimately go with? </p> <p> 00:08:33:16 - 00:08:40:15<br> Chris DeRienzo, M.D.<br> And then what is the EMR platform that sits on top of just so listeners can have sort of a sense of, okay, this is what their environment looks like. </p> <p> 00:08:40:17 - 00:08:55:25<br> Rohit Chandra, Ph.D.<br> I can get some of the basics, and then I'll defer to Eric to speak to the experience. So we're an EPIC house. Our EMR is EPIC. And it was obviously essential for us that the workflows that the physicians encounter are as seamless as possible. </p> <p> 00:08:56:01 - 00:09:01:15<br> Rohit Chandra, Ph.D.<br> And I'll defer to Eric to speak to that part of it. But that was obviously an important part of our assessment. </p> <p> 00:09:01:17 - 00:09:19:00<br> Eric Boose, M.D.<br> Yeah. So in the end, when we went through our different assessments, we ended up with ambiance as our solution for our ambient AI software. I do think there's something about ease of use for the user, right? Just like any other technology, if you throw in too many barriers or make it too complicated the uptake is much lower. </p> <p> 00:09:19:02 - 00:09:42:17<br> Eric Boose, M.D.<br> All of these softwares in general are pretty elegant in their solutions in the sense that the listening of the visit all tends to occur on a phone that's listening through an app. But how it gets into the EPIC or whatever your EHR might be, the ease of use of having it there as a draft so that at that point can be reviewed, edited, added, subtracted before it's obviously accepted in the medical record was very important to us. </p> <p> 00:09:42:19 - 00:09:55:25<br> Eric Boose, M.D.<br> And so ease of use in the integration doesn't have to be fully, deeply integrated. I wouldn't say, but it has to be nice and elegant so that things go through so quickly and smoothly that the uptake is done. And it's very easy to use. </p> <p> 00:09:55:27 - 00:10:03:06<br> Chris DeRienzo, M.D.<br> And from the integration perspective, it's not just free text getting ported in. There are structured components to it that also have to get completed. Is that right? </p> <p> 00:10:03:09 - 00:10:23:04<br> Eric Boose, M.D.<br> Correct. I mean, as the recording is in the AI software is working, it will bring back the note and all the different sections that you would need. So the HPI, API and results and erroneous systems is also as patient instructions, which actually turned out to be one of the surprises that we found very valuable was that as soon as the AI was done, it created the note. </p> <p> 00:10:23:10 - 00:10:34:20<br> Eric Boose, M.D.<br> You could have the patient structures ready for them before they even left the exam room. Wow. And to have kind of like that written record of all the things I asked them to do, it was so nice for them as they left, having those instructions with them. </p> <p> 00:10:34:22 - 00:10:46:09<br> Chris DeRienzo, M.D.<br> You're about a month since announcing partnership in the move forward. How's it going? What kind of outcomes are you seeing? Well, you know, what do you what are you focusing on now that it's going live across the clinic? </p> <p> 00:10:46:12 - 00:11:03:25<br> Eric Boose, M.D.<br> I mean, it's been very exciting. We just started the implementation on March 10th. We did listen to our vendor ambiance a little bit, guiding us the way, you know, what's been successful for implementation across a large enterprise to start. And we work together also with our Cleveland Clinic culture to make sure how was accepted and brought forth to all of our providers. </p> <p> 00:11:03:27 - 00:11:20:10<br> Eric Boose, M.D.<br> There are several thousand in scope to be using the product, and so we decided to do things in waves. Ambiance gave us some advice about which they felt which specialty models were ready to go out of the box, which ones they might need about, you know, 4 to 6 weeks to get really tuned up and some other ones that took about 12 weeks. </p> <p> 00:11:20:12 - 00:11:40:07<br> Eric Boose, M.D.<br> So we're like, that's fine, we'll spread out the waves, so we'll launch as many as we can in wave one. And then move on from there. And we've actually within two weeks have about 1500 trained and almost a thousand using it already. We're getting feedback, you know, it's life changing. I love this product. I don't know how I survived without it. </p> <p> 00:11:40:09 - 00:11:41:00<br> Chris DeRienzo, M.D.<br> Oh my goodness. </p> <p> 00:11:41:00 - 00:11:57:09<br> Eric Boose, M.D.<br> We can all attest that it's been a struggle these days, right? We have a lot of information coming to us. We have a lot of patient expectations about getting back to them as quickly as possible. All this electronic health record and patient portals and just, you know, it's expected to be very quickly going through information and getting back to them. </p> <p> 00:11:57:11 - 00:12:15:16<br> Eric Boose, M.D.<br> So this really helps us in our day in the sense of things happened so quickly with it that it's really unloading the other processes that we have to do during the day. And we're feeling that relief and we're seeing some of the docs saying, you know, I don't know if I'm going to cut back my time like I thought it was going to, or I may postpone retirement for a couple more years. </p> <p> 00:12:15:16 - 00:12:31:00<br> Eric Boose, M.D.<br> I mean, things you would never think you would hear from physicians, right? This is like a technology they're asking for and begging for. Like, it was so interesting during the pilots. If there was a person that was in the office using it, yet three others weren't, they're all like, I want it. When can I get it? So that kind of energy has been building. </p> <p> 00:12:31:00 - 00:12:37:03<br> Eric Boose, M.D.<br> And so when we launched it and advertised it, everybody was very, very excited about it. So it's been it's been going very well. </p> <p> 00:12:37:06 - 00:13:01:20<br> Rohit Chandra, Ph.D.<br> Chris, I'll add a quick comment, which is most times technology is a little bit clunky to adopt and integrate, and understandably so. That's true for all of us as consumers. The nice thing was this technology's the integration and the ability to use it is pretty seamless. And the appetite and the enthusiasm for adopting it is unprecedented. </p> <p> 00:13:01:22 - 00:13:06:27<br> Chris DeRienzo, M.D.<br> It's pretty rare for me to hear a positive, life changing story from a technology implementation. </p> <p> 00:13:06:27 - 00:13:27:26<br> Chris DeRienzo, M.D.<br> But you've got it. And to be clear, like, this is the story I'm hearing everywhere. Health care is and will always be a uniquely human experience. And the more opportunities we have to thread our humanity back into the practice of medicine using this needle of technology, the better. We are just about out of time. As expected, this has been a fantastic conversation. </p> <p> 00:13:27:28 - 00:13:46:18<br> Chris DeRienzo, M.D.<br> I am curious, though, as your ambient rollout continues through its the thousands of providers who are pulling to try to get to use it. What else do you see on the horizon with this kind of potential impact? And where are you sort of looking down the road towards other potential AI enabled use cases? </p> <p> 00:13:46:20 - 00:14:04:10<br> Rohit Chandra, Ph.D.<br> I'll touch on a couple of things, which is we are currently rolling out ambient listening in outpatient settings. I think there's an opportunity to look at other scenarios and use cases in different settings where ambient technology can help streamline the documentation burden. </p> <p> 00:14:04:13 - 00:14:22:04<br> Rohit Chandra, Ph.D.<br> I think the second part of it is while today we are leading with transcription and summarization, I think there's an opportunity to bring greater clinical knowledge to bear that can perhaps serve as a physician's assistant at their elbow, helping streamline more and more mundane tasks as we go forward. </p> <p> 00:14:22:06 - 00:14:38:10<br> Eric Boose, M.D.<br> Yeah. And I think just to echo that, I kind of picture that as well - as sort of having this kind of copilot, you know, with you. Again, we have so much information we're trying to gather before we see a patient and deal with after we see a patient with testing, that I almost see it as like, could the AI bring everything together, like do a chart review? </p> <p> 00:14:38:10 - 00:14:58:16<br> Eric Boose, M.D.<br> What care gaps do they have? What are actionable findings that may need to be promoted to make sure they follow up on? Almost like a patient briefing that when I open that record, tell me what I really need to know going into this visit to make sure that I take care of that patient very well. It's personalized to their care, and we make sure that the proper follow up and everything is sort of set up before they even leave the office. </p> <p> 00:14:58:16 - 00:15:09:12<br> Eric Boose, M.D.<br> So I feel like there's a lot of those tasks that I think that as the AI products get better and they do a little more deep dive into the charts and help us with all that context is where I see this going next. </p> <p> 00:15:09:15 - 00:15:32:06<br> Chris DeRienzo, M.D.<br> Well, if that is where we are going, then to all of the young folks out there who are studying medicine and nursing and respiratory therapy at an APP school, the future that awaits you is much better than the present that the folks on this call have lived through. We've gone through the challenging ages of early stage implementation and hopefully through the work that you all are doing leading the way at Cleveland Clinic, </p> <p> 00:15:32:08 - 00:15:43:08<br> Chris DeRienzo, M.D.<br> we will help bring some humanity back into the practice of medicine for all those who get to follow us. It has been a real privilege to get to speak with both of you. Thank you so much for joining us today. </p> <p> 00:15:43:10 - 00:15:44:17<br> Eric Boose, M.D.<br> Thank you for having us. </p> <p> 00:15:44:20 - 00:15:46:22<br> Rohit Chandra, Ph.D.<br> Thanks, Chris. </p> <p> 00:15:46:24 - 00:15:55:06<br> Tom Haederle<br> Thanks for listening to Advancing Health. Please subscribe and rate us five stars on Apple Podcasts, Spotify or wherever you get your podcasts. </p> </details></div> Mon, 14 Apr 2025 22:55:40 -0500 Artificial Intelligence (AI) /news/headline/2025-04-14-aha-podcast-ambient-ai-technology-cleveland-clinic-reducing-physician-burnout-and-enhancing-patient <p>Cleveland Clinic's Eric Boose, M.D., family medicine physician and associate chief medical information officer and Rohit Chandra, executive vice president and chief digital officer, discuss the clinic's initial pilot of ambient listening technology, lessons learned from implementation and what's on the horizon for artificial intelligence in health care. <a href="/advancing-health-podcast/2025-04-14-ambient-ai-technology-cleveland-clinic-reducing-physician-burnout-and-enhancing-patient">LISTEN NOW</a> </p><p> </p><div></div> Mon, 14 Apr 2025 14:20:32 -0500 Artificial Intelligence (AI) /news/headline/2025-04-04-study-finds-ai-screening-oud-led-fewer-hospital-readmissions <p>The National Institutes of Health April 3 released a <a href="https://www.nih.gov/news-events/news-releases/ai-screening-opioid-use-disorder-associated-fewer-hospital-readmissions">study</a> that found an artificial intelligence screening tool was as effective as health care providers in identifying hospitalized adults at risk for opioid use disorder and referring them to inpatient addiction specialists. When compared with patients who received consultations with providers, patients screened by AI had 47% lower odds of hospital readmission within 30 days after their initial discharge, saving nearly $109,000 in care costs. <br> </p> Fri, 04 Apr 2025 16:04:14 -0500 Artificial Intelligence (AI) /aha-center-health-innovation-market-scan/2025-04-01-innovative-rural-hospitals-think-beyond-tradition-improve-access-care <div class="container"><div class="row"><div class="col-md-8"><img src="/sites/default/files/inline-images/Innovative-Rural-Hospitals-Think-Beyond-Tradition-to-Improve-Access-to-Care.png" data-entity-uuid="e778c7ba-7645-47e7-92fc-159ef664d4dd" data-entity-type="file" alt="Innovative Rural Hospitals Think Beyond Tradition to Improve Access to Care. Drones fly over fields in a rural community in Virginia to deliver lifesaving medications with a computer monitor in the foreground displaying radiology images that AI is helping radiologists provide faster diagnoses." width="100%" height="100%"><h2>AI Helps to Improve Speed of Radiology Reviews</h2><p>Last year, <a href="https://www.chiefhealthcareexecutive.com/view/how-mercy-is-using-ai-to-improve-patient-care" target="_blank" title="Chief Healthcare Executive: https://www.chiefhealthcareexecutive.com/view/how-mercy-is-using-ai-to-improve-patient-care">Mercy</a> — a large health system serving many rural communities across Missouri and surrounding states — expanded its use of artificial intelligence (AI) to improve patient access and outcomes in radiology. By integrating Aidoc, an AI-powered clinical decision-support platform, into its imaging workflow, Mercy now can provide faster diagnosis of life-threatening conditions such as pulmonary embolisms and brain bleeds across its network of more than 50 hospitals, many of them in rural or underserved areas.</p><p>The AI platform reviews scans in real time and automatically flags critical findings for radiologists and emergency teams. This reduces turnaround times for high-risk cases and helps to ensure that patients in rural facilities receive the same rapid care available in larger urban centers. According to Mercy leaders, the AI implementation has enhanced clinical efficiency and supported more timely interventions — particularly in emergency departments (EDs) where staffing can be stretched thinly.</p><h3>Key Takeaway</h3><p>Artificial intelligence can be a vital force multiplier for rural hospitals. AI helps to improve diagnostic speed, enhance care team coordination and ensures that patients with high-acuity conditions receive timely attention.</p><h2>Drones Deliver Lifesaving Medications in Virginia</h2><p>In partnership with Zipline, a logistics drone company, Wise County, Virginia, launched a pilot program with <a href="https://cardinalnews.org/2024/12/26/nearly-a-decade-after-historic-drone-test-in-wise-county-drone-scare-shows-need-for-drone-identification/" target="_blank" title="Nearly a decade after historic drone test in Wise County, drone scare shows need for drone identification">Cardinal News: Remote Area Medical</a> to deliver essential medications to remote communities. Using autonomous drones, the health department now can transport insulin, antibiotics and other critical supplies across rugged terrain in less than 30 minutes — a journey that otherwise might take hours by car.</p><p>The program, which began during the COVID-19 pandemic, has grown into a model for how unmanned aerial vehicles can support rural health equity. Because the drones are not hindered by poor roads, weather or distance, they help to ensure continuity of care for patients who manage chronic conditions or need urgent medications.</p><h3>Key Takeaway</h3><p>Explore logistics innovations like drones to reduce delays and transportation costs in rural care delivery. Investing in or partnering with drone logistics providers can help eliminate last-mile delivery challenges, particularly for pharmacy and lab services, and enhance health equity in hard-to-reach communities.</p><h2>Nurse-Run Telehealth Hubs in North Dakota</h2><p><a href="https://www.trinity-health.org/newsroom/press-releases/trinity-health-revolutionizes-nursing-practice-through-virtual-connected" target="_blank" title="Trinity Health: Trinity Health Revolutionizes Nursing Practice Through a TogetherTeam Virtual Connected Care™ Delivery Model">Trinity Health</a> in Minot, North Dakota, operates mobile nurse-run telehealth hubs in converted vans that travel to underserved towns across the state. Equipped with diagnostic tools, mobile internet and tablets connecting to remote physicians, these vans serve as a lifeline for patients in areas that lack nearby clinics.</p><p>Staffed by advanced practice nurses, the vans provide on-site assessments, collect vitals, administer vaccines and facilitate virtual consults with physicians at Trinity’s main facilities. This hybrid care model bridges the gap between virtual and hands-on services.</p><p>The program has improved appointment adherence and helped to identify serious conditions sooner, reducing ED usage and supporting chronic disease management.</p><h3>Key Takeaway</h3><p>Mobile, nurse-led clinics are a scalable solution to rural provider shortages. Leveraging nurses and physician extenders in mobile units allows systems to reach new populations, increase care continuity and reduce unnecessary ED visits at a relatively low capital cost.</p><h2>Digital Front Doors in Rural Ohio</h2><p>Memorial Health System in Marietta, Ohio, accelerated its digital transformation during the COVID-19 pandemic by implementing a <a href="https://www.trinity-health.org/newsroom/press-releases/trinity-health-revolutionizes-nursing-practice-through-virtual-connected" target="_blank" title="Trinity Health: Trinity Health Revolutionizes Nursing Practice Through a TogetherTeam Virtual Connected Care™ Delivery Model">comprehensive patient intake platform</a>. This initiative enabled patients to complete appointment scheduling, registration and billing processes remotely, enhancing convenience and safety.</p><p>The digital system streamlined front-end operations, reducing the need for manual data entry and minimizing lobby congestion. Patients now can check in and complete necessary forms from their homes, decreasing errors and enhancing privacy. This transformation not only improved operational efficiency, but also strengthened infection control measures by reducing in-person interactions. Memorial Health System's experience underscores the importance of digital solutions in enhancing patient engagement and streamlining health care delivery, particularly in rural settings where access to care can be challenging.</p><h3>Key Takeaway</h3><p>Prioritize digital inclusion alongside digital transformation. Implementing a digital front-door strategy can significantly enhance patient access, satisfaction and operational efficiency in rural health care settings.</p><h2>The Future of Access: Innovation with Intent</h2><p>Whether it’s drones delivering medications or nurses driving virtual care on wheels, rural hospitals are innovating to close the gap between providers and patients. These creative solutions are designed to keep patient needs, geographic barriers and economic realities top of mind.</p><p>As workforce shortages, financial constraints and care disparities persist in rural America, hospital leaders must think beyond traditional infrastructure. Strategic investment in technology — paired with thoughtful implementation — can transform how care is delivered and experienced, regardless of ZIP code.</p></div><div class="col-md-4"><p><a href="/center" title="Visit the AHA Center for Health Innovation landing page."><img src="/sites/default/files/inline-images/logo-aha-innovation-center-color-sm.jpg" data-entity-uuid="7ade6b12-de98-4d0b-965f-a7c99d9463c5" alt="AHA Center for Health Innovation logo" width="721" height="130" data-entity- type="file" class="align-center"></a></p><p><a href="/center/form/innovation-subscription"><img src="/sites/default/files/2019-04/Market_Scan_Call_Out_360x300.png" data-entity-uuid data-entity-type alt width="360" height="300"></a></p></div></div></div>.field_featured_image { position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } .featured-image{ position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } h2 { color: #9d2235; } Tue, 01 Apr 2025 06:00:00 -0500 Artificial Intelligence (AI) /aha-center-health-innovation-market-scan/2025-03-25-generative-ai-market-health-care-gains-momentum <div class="container"><div class="row"><div class="col-md-8"><img src="/sites/default/files/inline-images/Generative-AI-Market-in-Health-Care-Gains-Momentum.png" data-entity-uuid="38d72b46-1ff8-419e-86c3-250e5045902b" data-entity-type="file" alt="Generative AI Market in Health Care Gains Momentum. A flowchart made of white tiles leading to Generative AI." width="1200" height="677"><p>Staffing shortages, rising costs, efforts to reduce administrative burden on clinicians and other factors are leading many health care providers to generative artificial intelligence (AI) solutions.</p><p>These solutions address providers’ concerns by boosting the speed and accuracy of key workflows, improving the efficiency of high-volume tasks while reducing the workload for overburdened staff, notes a recent <a href="https://www.cbinsights.com/research/generative-ai-healthcare-life-sciences-market-map/" target="_blank" title="CB Insights: The generative AI in healthcare and life sciences market map">CB Insights report</a>.</p><p>The health care field is responding positively to this potential. A recent Gradient Flow survey covering generative AI in health care revealed that 65% of respondents are actively considering or implementing generative AI solutions.</p><p>To identify market opportunities, CB Insights analyzed the landscape and mapped 87 health care and life sciences companies with generative AI products across 20 markets.</p><h2>3 Key Insights from the Report</h2><h3><span>1</span> <span>|</span> Investors and health systems are betting on generative AI to solve costly provider workflow inefficiencies.</h3><p>Clinical documentation startups secured four of health care’s five largest generative AI deals last year while simultaneously gaining significant commercial traction. For example, <a href="https://www.abridge.com/" target="_blank" title="Abridge homepage">Abridge</a> partnered with more than 12 health systems, including Mayo Clinic and Kaiser Permanente, while Ambience Healthcare worked with Alpine Physician Partners to reduce daily charting time by 74%, the report states.</p><p>Abridge completed the largest deal — a $150 million Series C round — and followed this with a $250 million Series D deal just last month. Abridge also established business relationships with more than a dozen health systems in 2024 alone, and it has continued to expand its network this year, working with Duke Health, UNC Health and Inova Health Systems so far.</p><h3><span>2</span> <span>|</span> Specialized AI models, powered by advanced clinical reasoning and domain-specific knowledge, demonstrate higher accuracy in health care workflows.</h3><p>Health care technology companies are taking an interest in this specialized approach to extract more accurate insights across their datasets and develop new features to help providers elevate their operational efficiency. For example, in February 2024, <a href="https://veradigm.com/" target="_blank" title="Veradigm homepage">Veradigm</a> announced that it would acquire health care LLM developer <a href="https://www.science.io/" target="_blank" title="ScienceIO homepage">ScienceIO</a> to gain intelligence from its own provider and patient data and, as a result, enhance AI features for its customers.</p><h3><span>3</span> <span>|</span> Drug development is poised to accelerate as generative AI discovery platforms secure major deals.</h3><p>Four of the top five generative AI deals in life sciences last year went to drug discovery startups, two of which are generative chemistry platforms (<a href="https://www.terraytx.com/" target="_blank" title="Terray Therapeutics homepage">Terray Therapeutics</a> and <a href="https://superluminalrx.com/" target="_blank" title="Superluminal Medicines homepage">Superluminal Medicines</a>). These platforms leverage generative AI to rapidly design new compounds and plan efficient synthetic routes, significantly speeding up the identification of viable drug candidates. This positions them as technological front-runners in the race to revolutionize drug discovery, the report notes.</p></div><div class="col-md-4"><p><a href="/center" title="Visit the AHA Center for Health Innovation landing page."><img src="/sites/default/files/inline-images/logo-aha-innovation-center-color-sm.jpg" data-entity-uuid="7ade6b12-de98-4d0b-965f-a7c99d9463c5" alt="AHA Center for Health Innovation logo" width="721" height="130" data-entity- type="file" class="align-center"></a></p><p><a href="/center/form/innovation-subscription"><img src="/sites/default/files/2019-04/Market_Scan_Call_Out_360x300.png" data-entity-uuid data-entity-type alt width="360" height="300"></a></p></div></div></div>.field_featured_image { position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } .featured-image{ position: absolute; overflow: hidden; clip: rect(0 0 0 0); height: 1px; width: 1px; margin: -1px; padding: 0; border: 0; } h2 { color: #9d2235; } Tue, 25 Mar 2025 06:00:00 -0500 Artificial Intelligence (AI)