Real World Data, Evidence and Reality in the Development of the Learning Health System
Real world data (RWD), meaning data generated by providers and payors during the delivery of patient care, are increasingly looked to as a source of truth for the development of practice-changing real-world evidence (RWE). Uses include the development of predictive models, observational cohort analyses and even individual-level data collection to support randomized clinical trials. RWE generated using RWD holds promise for being substantially more time and cost effective compared to traditional data collection and analyses. However, substantial challenges exist in the development and use of consistent data standards, models, collection and data sharing surrounding patient care and reimbursement. These challenges can undermine the promise of improved efficiency. This talk will detail some successes and difficulties encountered in the use of RWD and will outline some necessary considerations for informaticists involved in the development of learning health systems and RWE.