The personalized medicine challenge: shifting to population health through real-world data
Analytics, Modernizing Public Health
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Modernizing Public Health
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Analytics
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The personalized medicine challenge: shifting to population health through real-world data
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.
The Personalized Medicine Challenge (PDF)