Data interoperability and duplicate records remain top challenges for healthcare leaders
Healthcare organizations today rely on multiple systems to deliver care, from electronic health record (EHR) platforms and pharmacy software to scheduling applications and billing tools. This creates a fragmented data landscape where numerous clinical and business systems each manage patient records independently, presenting significant challenges in maintaining consistent patient identity data.
A recent HIMSS Market Insights study reveals that healthcare leaders understand the strategic need for patient identity matching, but struggles remain, particularly with data interoperability, duplicate records and inconsistent or missing data. They acknowledge that challenges must be overcome if they are to accomplish broader initiatives, especially around artificial intelligence (AI) implementation, workflow optimization and data exchange.
Download the HIMSS Market Insights to learn more about:
- Patient matching in today’s healthcare organizations
- Primary challenges to improved patient matching
- AI leading organizational priorities going forward
- Next-generation implementation approaches
- Key technological advancements
- Roadmap for EMPI implementation