Journal of Clinical Pathways April 20, 2022
Elizabeth Oyekan, PharmD, FCSHP, CPHQ Marissa Baker-Wagner, MPH Ronaé McLin, MPH

Modern technology allows for the mass collection of digital health data, in turn requiring novel analytical methods to make sense of it all.1 Artificial Intelligence (AI)—including rule-based expert systems, machine learning, natural language processing, and so on—have become a vital tool for making sense of the huge volume of health data being collected daily through the use of big data analytics (BDA).2 The application of BDA in health care has been extraordinary; clinically, methods have been used to improve patient-based care, detect disease spread earlier, and monitor the quality of health care.3 For pharmaceutical players that integrate BDA, there is an opportunity to excel above their comparators. BDA can improve treatment methods, increase knowledge on disease mechanisms, and monitor prescription...

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Topics: AI (Artificial Intelligence), Analytics, Big Data, Digital Health, Equity/SDOH, Healthcare System, Insurance, Patient / Consumer, Payer, Pharma, Pharma / Biotech, Population Health Mgmt, Precision Medicine, Provider, Technology
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