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Digital Data Improvement Priorities for Continuous Learning in Health and Health Care - Workshop Summary (Paperback)
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Digital Data Improvement Priorities for Continuous Learning in Health and Health Care - Workshop Summary (Paperback)
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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. The ability to collect, share, and use digital
health data is rapidly evolving. Increasing adoption of electronic
health records (EHRs) is being driven by the implementation of the
Health Information Technology for Economic and Clinical Health
(HITECH) Act, which pays hospitals and individuals incentives if
they can demonstrate that they use basic EHRs in 2011. Only a third
had access to the basic features necessary to leverage this
information for improvement, such as the ability to view laboratory
results, maintain problem lists, or manage prescription ordering.
In addition to increased data collection, more organizations are
sharing digital health data. Data collected to meet federal
reporting requirements or for administrative purposes are becoming
more accessible. Efforts such as Health.Data.gov provide access to
government datasets for the development of insights and software
applications with the goal of improving health. Within the private
sector, at least one pharmaceutical company is actively exploring
release of some of its clinical trial data for research by others.
Digital Data Improvement Priorities for Continuous Learning in
Health and Health Care: Workshop Summary summarizes discussions at
the March 2012 Institute of Medicine (2012) 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. Table of Contents Front Matter 1 Introduction 2 Data
Quality Challenges and Opportunities in a Learning Health System 3
Digital Health Data Uses: Leveraging Data for Better Health 4
Issues and Opportunities in the Emergence of Large Health-Related
Datasets 5 Innovations Emerging in the Clinical Data Utility 6
Strategies Going Forward Appendix A: Speaker Biographies Appendix
B: Workshop Agenda
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