“How should population health look and work? There’s a five-step process to getting there, said Michael Dulin, MD, director of the academy for population health innovation at the University of North Carolina at Charlotte.
‘The first component is understanding what you are trying to do with your population health framework, from the standpoint of the health system, and using data to identify and understand the opportunities to be gained, the resources already in place, and your overall strategy of healthcare delivery,’ Dulin said. ‘And then there are four more steps that come underneath this first step.'”
Great advice here in Healthcare IT News from Dr. Dulin of the University of North Carolina at Charlotte.
We would argue, however, that the first step to any population health or data analytics initiative — at least one that takes into account patients’ most comprehensive health record — begins with an interoperable data layer.
One of the biggest obstacles in creating a value-based system is the current siloed and dispersed nature of integrated hospital IT applications and the myriad sources of patient data at each facility.
From population health management, to analytics programs, to patient-facing applications, health data is the cornerstone for value-based care. In order for that important foundation to support caregivers in patient care, that data must be made interoperable so that every application in use has the ability to send, receive, and access data — including population health applications and components.
Of course we think the best choice to create and maintain an interoperable data layer is using Corepoint Integration Engine, the industry’s top-ranked integration engine, and used by more than 500 healthcare organizations across the country.
