/ en Sat, 26 Apr 2025 01:24:12 -0500 Tue, 11 Mar 25 06:00:00 -0500 /aha-center-health-innovation-market-scan/2025-03-11-3-takeaways-cleveland-clinics-ai-scribe-pilot-process-and-system-selection <div class="container"><div class="row"><div class="col-md-8"><img src="/sites/default/files/inline-images/3-Takeaways-from-Cleveland-Clinics-AI-Scribe-Pilot-Process-and-System-Selection.png" data-entity-uuid="18271184-d832-472b-a222-48d01cb9c672" data-entity-type="file" alt="3 Takeaways from Cleveland Clinic’s AI Scribe Pilot Process and System Selection. A doctor in white coat sitting at a desk with a laptop on it. The laptop is receiving data from an AI robot standing in front of the doctor holding a tablet." width="100%" height="100%"><p>Developing a well-rounded approach to assessing artificial intelligence (AI) medical scribes can be a daunting process, with an ever-expanding array of systems available and significant capital investment ramifications.</p><p>So, when Cleveland Clinic leaders recently went through their evaluation process, they opted for a customized approach. They test drove five companies’ systems before they automated their documentation with AI.</p><p>The organization believes it was the first head-to-head test of the major AI medical scribe programs for health care, involving extensive piloting of the systems. The health system conducted a rigorous pilot program of AI documentation solutions throughout 2024, evaluating the technology across more than 80 specialties and subspecialties.</p><p>The five AI scribe products were evaluated for documentation quality, product features, provider satisfaction, ease of implementation and return on investment. Cleveland Clinic analyzed data from Epic, provider survey results, patient feedback and technical evaluations, Beth Meese, executive director of digital health at Cleveland Clinic, said in a <a href="https://www.fiercehealthcare.com/ai-and-machine-learning/cleveland-clinic-chooses-ambience-ai-scribe" target="_blank" title="Fierce Healthcare: https://www.fiercehealthcare.com/ai-and-machine-learning/cleveland-clinic-chooses-ambience-ai-scribe">recent interview</a>. She added that the organization’s experience with all five vendors was positive.</p><p>On Feb. 19, the organization announced that it would <a href="https://newsroom.clevelandclinic.org/2025/02/19/cleveland-clinic-announces-the-rollout-of-ambience-healthcares-ai-platform" target="_blank" title="Cleveland Clinic: Cleveland Clinic Announces Rollout of Ambience Healthcare’s AI Platform">roll out Ambience Healthcare’s AI platform</a> for documentation, clinical documentation integrity and point-of-care coding. The technology aims to provide more time for personal interaction during visits and reduce the administrative workload for caregivers.</p><h2>3 Takeaways from the Analysis</h2><ol><li><h3>This is a health care play more than a tech play.</h3><p>Cleveland Clinic involved 25 to 35 clinicians for each of the five systems evaluated in the pilots that lasted three to five months. The organization emphasized evaluating companies on numerous factors, including culture and fit across different specialty areas. “You want the company to have passion for health care. This is not a technology play when all is said and done; this is a health care play,” Rohit Chandra, executive vice president and chief digital officer, told Becker’s Hospital Review.</p></li><li><h3>Provider engagement is critical.</h3><p>Providers must read the note in its entirety to confirm its accuracy and completeness and edit as needed before signing. Providers in ambulatory settings will have the ability to try the software but will not be required to use this tool. Patients will be notified before the AI tool is used and can opt out.</p></li><li><h3>Anticipate that AI scribes will continue to improve.</h3><p>Today’s products are “amazing” and are only [going] to get better Chandra says. "Over time, we should be able to substantially reduce the documentation burden, enable providers to operate at the top of [their] license, improve their experience and satisfaction, improve the quality of the physician-patient interaction — and that is starting to happen today," he adds.</p></li></ol></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; } ol li::marker { color: #9d2235; font-weight: bold; font-size: 1.6em; } Tue, 11 Mar 2025 06:00:00 -0500 Documentation /aha-center-health-innovation-market-scan/2024-10-22-4-things-know-about-microsofts-new-ai-tools-health-care <div class="container"><div class="row"><div class="col-md-8"><img src="/sites/default/files/inline-images/4-Things-to-Know-about-Microsofts-New-AI-Tools-for-Health-Care.jpg" data-entity-uuid="af3455bc-8623-4a76-8833-70c0170ee6dc" data-entity-type="file" alt="4 Things to Know about Microsoft’s New AI Tools for Health Care. An AI robot with a Microsoft logo on its back points to one brain MRI image on a wall of brain MRI images." width="100%" height="100%"><p>Microsoft’s recent unveiling of myriad new <a href="https://news.microsoft.com/2024/10/10/microsoft-expands-ai-capabilities-to-shape-a-healthier-future/" title="Microsoft: Microsoft expands AI capabilities to shape a healthier future" target="_blasnk">artificial intelligence (AI) and data capabilities</a> for health care organizations has many tech experts excited about the tools’ potential impact on the field.</p><p><strong>Among the new capabilities:</strong></p><ul><li><span><strong>New medical imaging models.</strong></span> A collection of medical imaging models available in the Microsoft Azure AI model catalog will allow health care organizations to test, fine-tune, and build AI solutions tailored to their specific needs. This would minimize the extensive computing and data requirements typically associated with building multimodal models from scratch, the company states. Developed in collaboration with partners like Providence and Paige.ai, these models enable health care organizations to integrate and analyze diverse data types — ranging from medical imaging to genomics and clinical records.</li><li><span><strong>AI agent services.</strong></span> This would allow companies to create AI tools with pre-built templates and data sources that could be used for appointment scheduling, clinical trial matching and patient triage. Currently in public preview, the service will offer broader access to the tools and lets organizations give feedback on the products.</li><li><span><strong>Expanded data analysis tools.</strong></span> The company’s health care-specific data tools are now typically available in Microsoft’s Fabric platform, which allows organizations to ingest, store and analyze health data. In public preview, organizations also will be able to use other types of data such as conversational information from Microsoft’s DAX Copilot AI documentation tool, public social determinants of health information and claims data from the Centers for Medicare & Medicaid Services.</li><li><span><strong>Nursing documentation.</strong></span> Working with the electronic health record vendor Epic and health care organizations like Advocate Health, Northwestern Medicine, Stanford Health Care and Duke Health, Microsoft is developing an AI documentation tool for nurses. The nurse-focused product has been deployed at multiple customer sites, Mary Varghese Presti, vice president of portfolio evolution and incubation at Microsoft’s Health & Life Sciences Division, recently told Healthcare Dive. The tool uses ambient voice technology to automatically draft flowsheets, or forms that collect patient data, for nurse review. The goal is to enable nurses to be “eyes-free and hands-free” in their documentation.</li></ul></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; } Tue, 22 Oct 2024 06:15:00 -0500 Documentation /aha-center-health-innovation-market-scan/2024-09-24-two-health-system-ai-pilots-detail-results-note-taking-and-chart-reviews <div class="container"><div class="row"><div class="col-md-8"><img src="/sites/default/files/inline-images/Two-Health-System-AI-Pilots-Detail-Results-in-Note-Taking-and-Chart-Reviews.png" data-entity-uuid="6df54c10-c08c-45fa-990f-41ce247f024c" data-entity-type="file" alt="Two Health System AI Pilots Detail Results in Note-Taking and Chart Reviews. An AI controlled left hand and a human right hand type on a keyboard in a clinical setting." width="100%" height="100%"><p>The transformational potential and power of generative artificial intelligence (AI) in clinical documentation and note-taking is undergoing intense evaluation in the field. Meanwhile, other hospitals and health systems are exploring ways to use AI for patient chart reviews to provide clinicians with greater visibility to aid in diagnoses to improve patient care.</p><p>The use of AI technologies is beginning to show demonstrable results in terms of patient care, operations efficiency and outcomes, according to the digital health consultancy AVIA. A recent <a href="https://aviahealth.com/insights/generative-ai-transforming-healthcare-two-real-life-success-stories/" target="_blank" title="AVIA: Generative AI is Transforming Healthcare: Two Real-Life Success Stories">AVIA blog</a> describes how a large Midwest academic medical center used an ambient documentation program that demonstrated a decrease in both average minutes in notes per appointment and per day for providers that utilized the solution, while simultaneously increasing monthly appointments.</p><h2><span>Among the Results:</span></h2><ul><li>For providers that <span><strong>used the tool for more than 40% of their appointments</strong></span>, there was a 29% decrease in both average minutes in notes per appointment and average minutes in note-taking per day.</li><li>These same high utilizers boosted monthly appointments by 7% and <span><strong>achieved a higher level of service</strong></span>, the report notes.</li><li>All the providers said <span><strong>they would like to continue using the solution</strong></span> after the pilot.</li></ul><p>The blog also cites results from a large regional health system in the Western U.S. that used AI to streamline the process of analyzing patient records, synthesizing patient information and insuring accurate coding.</p><p>Use of the AI solution led to an increased case mix index and complication/comorbidity capture. It also expedited revenue-cycle workflow, and reduced both denial appeals and administrative burdens, saving clinicians an average of 10 minutes per patient per day on follow-up documentation.</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; } Tue, 24 Sep 2024 06:00:00 -0500 Documentation