Pushing the Boundaries of Population Health Management

Population health management (PHM). It’s a commonly-used term in the healthcare space, but often defined with variety. According to Healthcare IT News, population health first started making waves in the early 2000s, where it was defined as “the health outcome of a group of individuals, including the distribution of such outcomes within the group.” These groups can be categorized by geographical location, as well as socioeconomic status and gender.

As healthcare continues its transition from volume to value-based care, the focus on population health management has grown exponentially. Quality metrics like the Healthcare Effectiveness Data and Information Set (HEDIS) are in place to incentivize providers to do more to manage and improve the health of patients with chronic and costly conditions.

The Emergence of Population Health Management Platforms

From its origin, PHM has been focused on aggregating data across healthcare IT systems to better enable clinicians to analyze and discover gaps in care for each patient. The aim has always been to improve efficiency and cost-effectiveness in the practice setting, while also improving the quality of individualized patient care – utilizing data to better predict community health trends.

This traditional approach, however, still takes several staff members and care coordinators – from nurses, PAs and care managers, to social workers, behavioral health experts, and specialists – to analyze gaps-in-care data and develop programs to help patients to achieve their health goals. Furthermore, aggregated data from traditional PHM software does not include patient-generated data, such as remote patient monitoring trends or social determinants of health -- a relatively new data source and emerging, better way to manage costly chronic conditions by offering a more holistic view of the patient’s health.

In short, traditional PHM software only tells clinicians the problem with aggregated data. It does not give the full picture of the patient, or tell clinicians how to fix it.

This is where Rimidi comes in.

How Rimidi’s Population Health Management Solution Goes Above & Beyond

Unlike the old platform models, Rimidi is different. We are not a standalone population health management platform or data aggregator – our solution extends the capabilities of the pre-existing EHR, giving clinicians the power to improve population health at scale with clinical decision support embedded within their workflow.

Rimidi’s PHM tool also works directly with clinician teams to help them:

• Aggregate relevant clinical data from the pre-existing EHR into problem-oriented views and patient-generated data from connected devices or Social Determinants of Health or Patient Reported Outcomes surveys.
• Identify the highest-risk patients based on data from the EHR or remotely-generated data.
• Act on the information by surfacing in-workflow, configurable clinical decision support cards and filterable notifications.
• Monitor patient biometrics, including blood-glucose, weight, and blood pressure in between doctors’ visits with Rimidi’s approach to Remote Patient Monitoring.
• Refine and adjust care plans and patient cohorts with robust insights and analytics at the population level.

As the healthcare industry continues to shift to a value-based care model – and patients seek a more personalized healthcare experience that encompasses all of their needs together – an effective population health management solution is critical to achieving success.

Ready to see how Rimidi’s Population Health Management Solution is Different? Request a Demo Today.