As the healthcare industry continues to become more consumer-driven, the interconnectedness of clinical and financial data will drive the success—or struggles—of provider organizations of all sizes. Quality and utilization will both play a role in determining reimbursement in the world of value-based care. In a recent Health IT Analytics article, our director of health data analytics, Mary Hardy, shares data aggregation data and effective analytic solutions are just as important as a patient’s diet and exercise when it comes to improving patient outcomes and managing population health.
Population health management depends on multiple “levels” of data, ranging from comprehensive patient data to population/disease cohort data and clinical outcome data. Organizations will need to integrate, aggregate and normalize data quickly to leverage actionable analytics—and to enable clear reporting on possible gaps in care so the gaps can be addressed in a timely manner. The key to success will be interoperability among population health management solutions, patient engagement solutions and clinical communications solutions—all of which will need to feed into a comprehensive data aggregation and normalization engine.
For more best practices on population health management, check out all of Mary’s tips featured in Health IT Analytics.