AI in Clinical Auditing: Improving Electronic Medical Record Integrity - Webinar

Accurate and well-supported documentation is essential to reimbursement integrity, survey preparedness, and overall quality performance in skilled nursing homes. With increasing regulatory oversight and the ongoing complexity of the Patient-Driven Payment Model (PDPM), relying solely on retrospective, manual chart audits may leave gaps in identifying documentation risk. 

This session examines the role of Artificial Intelligence (AI) in strengthening clinical auditing practices across therapy, nursing, and Minimum Data Set (MDS) documentation. Intended for Rehab Directors, Directors of Nursing, Compliance professionals, and MDS coordinators, the course reviews how AI-supported tools can assist in identifying documentation discrepancies, validating skilled need, highlighting potential PDPM vulnerabilities, and improving interdisciplinary consistency within the Electronic Medical Record (EMR). 

Participants will explore practical applications of AI as a clinical decision-support resource that enhances, rather than replaces, professional judgment. Emphasis will be placed on improving audit efficiency, supporting documentation accuracy, and maintaining compliance standards in preparation for survey and payer review.

This program has been submitted but not yet approved for Continuing Education for 1.0 total participation hours by NAB/NCERS.

To receive continuing education credit for LeadingAge PA-sponsored webinars, attendees must register under their name, participate through the link supplied after registering and complete the evaluation after the webinar.