Revenue Cycle / en Sat, 26 Apr 2025 03:59:00 -0500 Wed, 26 Mar 25 09:24:11 -0500 Claims Denials: Causes, Impact and AI-Enabled Prevention Strategies /education-events/claims-denials-causes-impact-and-ai-enabled-prevention-strategies <p><strong>Claims Denials: Causes, Impact and AI-Enabled Prevention Strategies </strong><br><em>Exploring the Role of AI in Preventing and Managing Claims Denials </em></p><p><strong>Wednesday, May 14, 2025 </strong><br><em>1 - 2 p.m. Eastern; noon - 1 p.m. Central; 10 - 11 a.m. Pacific    </em></p><p>Initial claims denials in revenue cycle management (RCM) continue to challenge hospitals and health systems, creating inefficiencies and contributing to administrative burdens. Join this webinar to explore a recap of findings from Inovalon’s 2024 Revenue Cycle Survey and gain a deeper understanding of the root causes of claims denials. We’ll explore how revenue cycle leaders and managers from hospitals perceive the role of artificial intelligence (AI) in addressing claims denials and improving RCM efficiency.</p><p>While the session will not provide specific recommendations, it will offer insights into how AI is viewed as a potential solution to prevent and manage claims denials, based on survey results from hospital respondents. Learn about the causes and impacts of claims denials, their priority level in RCM workflows, and how AI could be leveraged in the future to improve claims accuracy and overall operational efficiency.</p><p><strong>Attendees Will Learn:  </strong></p><ul><li>Insights from acute care-focused findings in Inovalon’s 2024 Revenue Cycle Survey on the priority level and causes of claims denials.</li><li>How hospitals view AI’s potential in addressing claims denials, based on survey data from RCM leaders.</li><li>Key challenges faced by hospitals in managing claims denials and the potential role of AI in enhancing RCM efficiency.</li></ul><p><strong>Speaker(s): </strong><br><br>Barbara Campbell  <br><em>Director of Market Research </em> <br><strong>Inovalon  </strong><br>Bowie, Md. </p> Wed, 26 Mar 2025 09:24:11 -0500 Revenue Cycle Revolutionizing Revenue-Cycle Management Efficiency with AI /2024-05-21-revolutionizing-revenue-cycle-management-efficiency-ai <div class="container"><div class="row"><div class="col-md-8"><p><img src="/sites/default/files/inline-images/Revolutionizing-Revenue-Cycle-Management-Efficiency-with-AI.png" data-entity-uuid="e985e8e8-aa1d-4d9b-b953-df40b0c2d941" data-entity-type="file" alt="Revolutionizing Revenue-Cycle Management Efficiency with AI. A robotic hand types on a digital adding machine." width="100%" height="100%"></p><h2><span>NEW</span> AHA Leadership Scan</h2><p>In the intricate landscape of health care, payer denials pose a significant challenge for providers. In recent years, denial rates have risen, partly due to payers’ use of artificial intelligence (AI) and provider workforce constraints to help mitigate denials. With the click of a button, dozens of claims can be denied — not from a comprehensive medical review process but from insurance plans incorporating their own set of algorithms.</p><p>Nevertheless, providers also can use AI and automation to play a pivotal role in denial prevention, management and recovery by streamlining processes, reducing errors and enhancing efficiency.</p><p>A new AHA Center for Health Innovation Leadership Scan episode, <a href="https://aha-org.zoom.us/webinar/register/8217157867246/WN_f6HlGC1hRlKQXTyVHhqC-g#/registration" target="_blank" title="ZOOM: Registration for 6-27-24 Revolutionizing Revenue Cycle Management Efficiency with Artificial Intelligence">“Revolutionizing Revenue Cycle Management (RCM) Efficiency with AI,”</a> will share insights on how AI solutions can help hospitals and health systems overcome staffing challenges in critical RCM areas to respond more efficiently to payer denials.</p><p><strong>Attendees will learn:</strong></p><ul><li>How to address key challenges in RCM operations.</li><li>How to identify the specific areas of the revenue cycle most impacted by staff shortages and how to overcome administrative burdens.</li><li>How payers are using AI in review processes to challenge claims and how provider organizations can leverage AI to respond to challenges.</li><li>How AI technology can help health care providers respond to staffing shortages in RCM and reduce manual intervention.</li></ul><p><a href="https://aha-org.zoom.us/webinar/register/8217157867246/WN_f6HlGC1hRlKQXTyVHhqC-g#/registration" target="_blank" title="ZOOM: Registration for 6-27-24 Revolutionizing Revenue Cycle Management Efficiency with Artificial Intelligence"><span><strong>Register now</strong></span></a><strong> for the June 27 program that runs from 1 p.m. to 2 p.m. ET.</strong></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, 21 May 2024 06:00:00 -0500 Revenue Cycle Implementing Data-Driven Strategies to Master Revenue Cycle Management May 8 /education-events/implementing-data-driven-strategies-master-revenue-cycle-management <p><strong>Implementing Data-Driven Strategies to Master Revenue Cycle Management   </strong><br><em>Transform your meetings with powerful data insights  </em></p><p><strong>Wednesday, May 8, 2024 </strong><br><em>1 - 2 p.m. Eastern; noon - 1 p.m. Central; 10 - 11 a.m. Pacific</em></p><div class="webreplay"> .webreplay{ border: solid 2px #777; padding: 15px 5px; margin: 0 0 10px 15px; } @media (min-width:360px){ .webreplay{ min-width: 290px; float: right; } } <h2 class="text-align-center"><small>On-demand Webinar</small></h2> MktoForms2.loadForm("//sponsors.aha.org", "710-ZLL-651", 3842);</div><p>This webinar addresses the pressing issue faced by hospitals in optimizing their revenue cycles amidst complex financial landscapes.  </p><p>Inefficient processes and lack of actionable insights can hinder revenue cycle management meetings. Learn unique solutions by integrating data analytics into your strategies to empower you to make informed decisions and achieve tangible results.  </p><p>Participants will learn how to leverage data-driven tactics to streamline meetings, identify revenue leakage points, and implement targeted initiatives for sustainable financial success.  </p><p>Gain practical insights into optimizing processes, harnessing data analytics for decision-making, and deploying effective strategies to maintain overall financial health. This webinar will equip attendees with the tools and knowledge to minimize claims denials and excel in revenue cycle management.</p><h3><small class="sm">Attendees Will Learn:</small></h3><ul><li>The importance of data-driven decision-making in revenue cycle management meetings.  </li><li>Strategies for integrating data analytics into revenue cycle meetings to identify and address revenue leakage points.  </li><li>Tactics for optimizing financial performance and minimizing denials through effective meeting strategies.  </li><li>How to leverage data analytics tools to streamline revenue cycle processes to reflect true financial outcomes.  </li><li>Best practices for implementing actionable initiatives derived from data insights to drive sustainable performance in hospital settings.</li></ul><h3><small class="sm">Speaker:</small></h3><p>Nicole Querio <br><em>Senior Manager </em><br><strong>Inovalon</strong> </p> Mon, 01 Apr 2024 13:45:36 -0500 Revenue Cycle