According to an article in Clinical Leader that featured Bayer Healthcare’s VP Global Strategy & Development Advisor, by evaluating certain criteria against patient populations, electronic health record (EHR) systems can help sponsors determine trial feasibility and shape better study protocols. This can reduce the number of amendments, which can cost anywhere from $300,000 to $500,000 each.
This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.
EHR data might also dissuade sponsors from attempting certain trials, due the lack of specific patient populations. This in itself could prevent companies from having to initiate study start-up activities, including technology enablement, site training, and shipping products, thereby reducing the overall cost of drug development.
Expect to see a spike in EHR investments over the next few years, especially integrations between EHR and electronic data capture (EDC) systems.
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