Bringing together datasets from various sources is critical to enable population health efforts, but so far has proved to be a formidable challenge for payers and providers alike.


An overwhelming amount of new data is created every second – from EHRs and insurance claims to social determinants of health and wearable device data – somewhere in this vast amount of data are answers to how to improve health outcomes.


To be successful in a population health strategy requires a common understanding of what various data means so insight can be gleaned and shared between stakeholders. Fortunately, the right technology can help.


Read this whitepaper to learn:


  • Why collecting, integrating, normalizing, and interpreting data from across care interactions, devices, apps and settings is critical in a value-based system
  • The role of natural language processing (NLP) and machine learning in delivering on population health
  • Three strategies for creating a Rosetta Stone of health language that will equip you to improve care for entire patient populations


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Download the Whitepaper