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Best practices for effective population health management

Population health management (PHM) empowers healthcare providers to unlock value in patient data and become more efficient and effective at delivering care and accomplishing their missions. It’s a powerful model for decreasing costs while improving outcomes that should be part of any healthcare provider’s IT strategy.

While big data analytics have revolutionized many industries, healthcare has largely lagged behind due to challenges with legacy data, complex delivery systems, third-party data sharing, privacy rules and other obstacles. The population health management model works to address these issues through business intelligence and big-data best practices customized for the challenges of the healthcare environment.

Our approach is based on what we call “Data Harmonization.” This broad, function-focused approach brings together both patient health information and functional data from across the organization to improve outcomes, increase revenues, reduce costs and speed up processes.

This kind of Data Harmonization enables powerful advanced analytics capabilities for patient health management. These include predictive models that improve outcomes and decrease costs; discharge plans that factor in external environmental factors to reduce readmissions; data mining that improves coordination of benefits outcomes; scoring tools that identify high-risk patients for chronic or lifestyle-related conditions; staffing plans that optimize allocation and other such capabilities.

Population health management unlocks value for a broad range of healthcare organizations, including physicians, hospitals, health systems, health insurers, laboratories, benefit managers, allied health providers and other stakeholders. It can transform the way they deliver care, and it’s the future of healthcare IT.

Interested in implementing PHM to improve your organization? Contact us today to learn more.


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