Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals?. Issue 4 (14th October 2018)

• Record Type: Journal Article
• Authors: Eichler, Hans‐Georg; Bloechl‐Daum, Brigitte; Broich, Karl; Kyrle, Paul Alexander; Oderkirk, Jillian; Rasi, Guido; Santos Ivo, Rui; Schuurman, Ad; Senderovitz, Thomas; Slawomirski, Luke; Wenzl, Martin; Paris, Valerie
• Is Part Of: Clinical pharmacology & therapeutics. Volume 105:Issue 4(2019)
• Page Start: 912
• Page End: 922
• Publication Date: 2018-10-14
• Subjects: Pharmacology -- Periodicals; Therapeutics -- Periodicals; 615.5
• DOI: 10.1002/cpt.1226
• Languages: English
• ISSNs: 0009-9236

Abstract

Abstract : Judicious use of real‐world data (RWD) is expected to make all steps in the development and use of pharmaceuticals more effective and efficient, including research and development, regulatory decision making, health technology assessment, pricing, and reimbursement decisions and treatment. A "learning healthcare system" based on electronic health records and other routinely collected data will be required to harness the full potential of RWD to complement evidence based on randomized controlled trials. We describe and illustrate with examples the growing demand for a learning healthcare system; we contrast the exigencies of an efficient pharmaceutical ecosystem in the future with current deficiencies highlighted in recently published Organisation for Economic Co‐operation and Development (OECD) reports; and we reflect on the steps necessary to enable the transition from healthcare data to actionable information. A coordinated effort from all stakeholders and international cooperation will be required to increase the speed of implementation of the learning healthcare system, to everybody's benefit.