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The personalized medicine challenge: shifting to population health through real-world data

Analytics, Precision Medicine

  • Precision Medicine

    Examine how customized medical care is evolving.
  • Analytics

    Examine how Healthcare data can provide insight across claims, cost, clinical, and more.

The personalized medicine challenge: shifting to population health through real-world data

September 6, 2019

The personalized medicine challenge: shifting to population health through real-world data

Personalized medicine (PM) is an initiative aimed at optimizing a person’s health through targeted, precise care. The field of precision health has rapidly blossomed, fed by the fertile, data-rich healthcare environment and the hype surrounding artificial intelligence (AI) and big data analytics (BDA). The ability to sequence and analyze large amounts of omics data (e.g., genomics, proteomics), enhanced by AI algorithms, has encouraged the growth of targeted therapies (Jameson and Longo 2015). Enormous databases are now fed by real-world data (RWD), automatically generated healthcare data based on records of routine medical encounters. These databases inform analyses from drug discovery to disease relapse prediction (Mc Cord et al. 2018).

The full editorial can be downloaded below.  

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