42 percent of respondents called population health management “critically important,” with another 42 percent referring to it as “moderately important.”1
The goals of population health management are:
- Better control of costs
- Improved outcomes
- Higher quality
Organizations are starting to understand differences in quality at the provider level, but very few have insight into what cost variation exist on an individual level and why.
The Path Forward
Using analytics to identify high-risk, high-reward patients can help reduce unplanned readmissions and other negative outcomes. Providers who use more expensive supplies could still lead to an increased per member per month cost that may offset any financial benefit from improved population health management. Transparency into which physicians could prescribe generic alternatives more often or choose a high-quality, lower-cost implant for surgical procedures can highlight variation in cost that can be easily remedied.
Alternately, members of the cohort may believe they are adhering to best practices for caring for high-risk patients, yet find they are missing suggested measures during data exploration. Necessary screenings, like mammography and depression, help identify factors that influence patients’ likelihood to become high-risk. Updated medication documentation can also slip through the cracks and cause costly complications unintentionally.
Actionable insights allow leaders and providers to assess whether their practice and supply choices are aligned to personal and organizational objectives. Improving the health of the population is necessary, and empowering providers to achieve that means giving them the ability to see where they can create better outcomes.
If your team could benefit from relevant data insights, we’d love to set up time to discuss how Relias could help you achieve that aim. Contact me anytime at email@example.com.