Description: Collecting patient demographics is the starting point to trusted, reliable data throughout the patient’s health journey. For nearly two decades there has been a federal appropriations restriction prohibiting the Department of Health and Human Services from spending any federal dollars to promulgate or adopt a unique health identifier.
In the meantime, health information professionals continue to contribute greatly in this space. Management of the master patient index is vital to reducing and mitigating patient matching errors that may affect clinical care and interoperability. In this session, we will discover approaches used today to achieve a low duplicate rate.
Learning Objectives: Attendees will examine various components to AHIMA’s 2020 white paper on this topic. The presentation will highlight areas for exploration to identify and recognize variability in databases, duplicate error and creation rate calculations, workforce factors and types of patient matching algorithms which all play an important role in achieving a low duplicate record error rate. Discussion will be held about how the organizational goal checklist can be tailored to fit particular environments.
Webinar Publish Date: July 1, 2021
Duration: 1 hour
Speaker: Julie A. Pursley, MSHI, RHIA, CHDA, FAHIMA serves as Director, Health Information Thought Leadership for the American Health Information Management Association where she leads, connects and cultivates initiatives within an organizational-wide strategic framework to promote AHIMA’s thought leadership position. Julie is a published author, contributor and public speaker in the U.S. and internationally. Julie has a rich history in health information. In her career, she has focused on the collection, access and sharing of accurate health information in today’s complex healthcare landscape; supporting clinical decisions for improved health outcomes.
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1+ | $0.00 |
Content | 01:00:00 |
Listen to Webinar | 01:00:00 |