In an article from Clinical Leader, Chief Editor, Ed Miseta, and Bayer Healthcare’s VP Global Strategy & Development Advisor, Johann Proeve, discuss using electronic health record (EHR) and electronic data capture (EDC) systems to lower the overall costs of running clinical trials.
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.
By evaluating certain criteria against patient populations, EHR systems can help sponsors determine trial feasibility and shape better study protocols, reducing the number of amendments, which can cost anywhere from $300,000 to $500,000 each. EHR data could also dissuade sponsors from conducting certain trials, due the lack of specific patient populations. This in itself can prevent companies from having to initiate study start-up activities, including technology enablement, site training, and shipping products.
The article also shares how integrating an EHR system with an EDC solution can help reduce the need for manual data entry and verification.
You can read the article in its entirety here.