Learning Health Systems, Real-World Evidence, and Digital Epidemiology: The Bridging of Clinical Care and Drug Development
September 16, 2019
1:45pm - 2:15pm
Mission City B4
The chasm that exists between routine clinical care, which occurs in a real-world setting with a highly heterogeneous population, and structured clinical research, which focuses on the efficacy and safety of a drug in a controlled setting with a largely homogenous population, must be bridged to effectively and efficiently meet the needs of all patients and populations. There has been tremendous optimism about the possibilities of utilizing big data and advanced analytics to bridge this chasm and facilitate transformation in the treatment, diagnosis, and prevention of diseases. However, sustainable transformation requires a systems thinking approach, which invariably means that health care providers and biopharmaceutical companies would need to break down cultural, political, and organizational barriers to establish a learning health system focused on capturing, storing, and analyzing high-quality real-world data (RWD) that generates credible real-world evidence (RWE). This session will provide strategic recommendations for constructing a collaborative evidence generation model as a learning health care system between health care providers and biopharmaceutical companies.
Vice President, Global Medical Epidemiology & Big Data Analysis