Predictive Analytics Can Help Coordinate Care

Predictive Analytics Can Help Coordinate Care

Predictive Analytics Can Help Coordinate Care

Medalogix founder Dan Hogan weighs in on the role of predictive analytics.

Care coordination, the intentional organization of patient care between two or more care providers, is linked to improved health outcomes which are especially important in today’s emerging value-based care system. Combined with predictive analytics, the process of making predictions based on current data, proper care coordination practices can greatly improve a patient’s overall experience, especially during end-of-life stages.

Unfortunately, according to a survey conducted by Nielsen Strategic Health Perspectives and the Council of Accountable Physician Practices (CAPP), just over half (51 percent) of the more than 30,000 respondents reported their doctors were not able to share information about their health or were aware of their medical history information prior to their appointments. Meanwhile, 37 percent of patients suffering from multiple chronic conditions said they had follow-ups or care management for their health, just slightly higher than the 36 percent for patients overall.

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There is a real need for improved care coordination to boost health outcomes, according to Dan Hogan, founder of Nashville, TN-based Medalogix, predictive analytics can play an important role in doing just that. “Predictive analytics enables care providers to coordinate care proactively rather than reactively. Traditionally, care is coordinated from the top of the acuity ladder, the hospital or emergency room, down,” Hogan wrote in an email correspondence with Health IT Outcomes.

 



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