Bridging the Gap Left by EHR Analytics

Why Dedicated Data Analytics Solutions Are Vital
in the Current Operational Landscape

Still, the leaders of patient care organizations across the U.S. are finding themselves regularly frustrated with the analytics capabilities embedded in the electronic health record (EHR) solutions provided by the major EHR vendors.

All these vendors claim to offer strong data analytics capabilities, but patient care leaders regularly report that those capabilities are limited, difficult to use, and lacking in robustness.

What are the key issues involved? Here are some of the critical elements in the mix:

• The need for robust data analytics capabilities
• The need to be able to link core analytics functions with clinical data
• The need to “marry” clinical data from the EHR with claims data provided by payers, whether public or private, as well as other financial or operational data in the organization
• The need to be able to move end-users towards as much self-service use of data and analytics as possible

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