3 Ways HCRM Supports Population Health Initiatives

Population health focuses on managing the overall health of a defined population while taking on accountability for the outcomes and cost associated with the health care services for that population.

Population health management (PHM) combines data analytics, technology, and engagement tactics to deliver targeted health care services in support of population health efforts.

PHM is the foundational capability that is enabling the transition from fee-for-service to alternate payment arrangements. In this evolving alternate payment landscape, where health systems are expected to take on the responsibilities for pre-defined populations, having an effective PHM capability is going to be critical to maintaining profitability.

This new model of providing care requires health systems to understand who is the population that they are caring for, identify who is most at risk and then engage them through the appropriate channels to provide the educations and services necessary to improve health outcomes.

For example, a hospital with a population health goal to increase vaccination rates must properly identify, target, and connect with a non-vaccinated population. With the help of an HCRM, healthcare organizations identify vulnerable populations, find those most likely to not have received vaccinations, and develop personalized outreach to specific patients.

Here’s how healthcare organizations can leverage the HCRM’s capabilities, including real-time data, technology, and 360-degree patient views to more effectively implement population health management.
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Robin Edison

Robin Edison

Robin Edison serves Evariant as Senior Director of Product Management, with responsibilities for the data and analytics capabilities across the product portfolio. Prior to joining Evariant Robin held various product management and consulting roles focused on leveraging data integration and data science to solve the business needs in the health care domain. Throughout his time at Geneia, Optum, Hewlett Packard , Robin worked on building models and analytical solutions for risk stratification in the commercial and Medicare advantage markets, cost and quality insights for value-based payer-provider relationships, patient engagement in population heath programs, identifying variation in care patterns across clinicians, marketing campaigns for insurance products as well as integrating large claims data sets to comparative effectiveness research and market evaluations.
Robin Edison

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