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