Monday, March 28, 2016

How Big Data moves to Precision Population Health Management

While the idea of population health management concentrates on creating relatively large cohorts of sufferers in need of a specific set of services, the ultimate goal of taking a macro view of patient care is to establish a highly personalized experience.


It may seem contradictory, but healthcare agencies that work on implementing the technologies, data analytics, and workflow processes needed for population health management will be setting themselves up to deliver a precision experience for patients, claims John Glaser, Senior Vice President of Population Health and Global Strategy at Cerner Corporation.


Contributors will require learning how to coordinate care for sufferers on an individual basis if they wish to successfully navigate the rocky transition to value-based reimbursements and accountable care.


The key to doing so is achieving equilibrium between persons, processes, and technology while keeping the sufferer at the center of reform attempts.  If contributors can find this balance point within their own agencies, they will be capable to deliver high quality, tailored care at a price point that the healthcare system can afford.


“We are going through very profound business model changes in healthcare right now, and obviously contributors are targeting areas of their care processes that will assist them with the transition from volume to value and with reducing costs,” Glaser told.

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