6 key analytics for successful population health management infographic created by HIN outlines key analytics, barriers, tools and workflows to ensure successful PHM.
We spend almost twice as much, per-person, as any other nation closing in on 17.9 percent of our gross national product, yet it is hard to prove if we are any healthier. To control these rising healthcare costs with a big picture delivery approach that anticipates the needs and improve outcomes, healthcare organizations and employers are turning to population health management (PHM), defined as the management of integration and outcomes measurements of any program affecting the health and productivity of a specific population or group. Healthcare’s value-based purchasing increasingly favors a population-centric approach to health management, identifying risk across the care continuum.
Surveying patients regularly about their experience and using electronic medical records are just a few PHM strategies. This new infographic visualization created by Healthcare Intelligence Network outlines key analytics, barriers, tools and workflows to ensure successful management of specific populations, drawing from results of their 2012 Population Health Management survey.
Successful PHM starts with data management and analytics. The infographic highlights the following 6 key analytics for successful population health management:
- Clinical Data
- Utilization Data
- Adherence Data
- Operational Data
- Financial Data
- Satisfaction Data
Other key data points presented in this infographic shown below are:
- Top areas for data analysis, including clinical, utilization and adherence data
- Use of PHM delivery models: telephone, Internet, portal, print or smartphone app;
- PHM payoffs, such as increases in medication adherence and decreases in hospital readmissions;
- Ideas for successful PHM, including face-to-face management with immediate referral from health center providers.
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featured image credit: http://info.healthdirections.com