Healthcare Analytics, Population Health Management, Healthcare Big Data

Finding a Solution to Healthcare’s Patient Matching Problem

Posted on

Sponsored by: Verato

Patient matching errors can cause unnecessary harm to individuals trying to access care by hindering effective care coordination and utilization of care services. A multitude of common problems — ranging from incorrect and missing information to variation in data standardization and formatting — makes tackling patient matching a complicated task. Despite large-scale support for the development of patient matching solutions based on the use of unique identifiers or algorithms, patient identification remains a challenge for providers.

With errors in patient identification leading to safety risks and increasing the cost of care, patient matching should be a top priority for healthcare leaders. The inability to positively identify patients undermines efforts to improve clinical quality and patient experience, both of which factor highly in value-based care initiatives.

The Pew Charitable Trusts Manager of Health Information Technology Ben Moscovitch and Regenstrief Center for Biomedical Informatics Director Shaun Grannis, MD, MS, FACMI, lead a discussion of the impact of patient matching on utilization, revenue, patient satisfaction and interoperability and potential solutions to the problem.

Learning objectives:

  • Making the business case for prioritizing patient matching
  • Understanding limitations of current patient identification methods
  • Assessing the merits of available patient matching tools

Please enter your email address to access this resource

Trouble Downloading? Email .(JavaScript must be enabled to view this email address)
You can view our privacy policy here.