Digital Data Improvement Priorities for Continuous Learning in Health and Health Care - Workshop Summary
||September 28, 2012
Note: Proceedings contain the opinion of the presenters, but do NOT reflect the conclusions of the Health and Medicine Division or the National Academies. Learn more about the differences between Reports and Proceedings.
Digital health data are the lifeblood of a continuous learning health system. A steady flow of reliable data is necessary to coordinate and monitor patient care, analyze and improve systems of care, conduct research to develop new products and approaches, assess the effectiveness of medical interventions, and advance population health. The totality of available health data is a crucial resource that should be considered an invaluable public asset in the pursuit of better care, improved health, and lower health care costs.
This publication summarizes discussions at the March 2012 IOM workshop to identify and characterize the current deficiencies in the reliability, availability, and usability of digital health data and consider strategies, priorities, and responsibilities to address such deficiencies. This workshop followed a series of related discussions summarized in the IOM publication titled Digital Infrastructure for the Learning Health System, and built on a body of work done by the Roundtable on the centrality of a clinical data utility to support continuous learning and improvement in health and health care.