Digital Data Improvement Priorities for Continuous Learning in Health and Health Care:

ISBN-10: 030925941X

ISBN-13: 9780309259415

Edition: 2012

List price: $34.00
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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 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.
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Book details

List price: $34.00
Copyright year: 2012
Publisher: Natl Academy Pr
Binding: Paperback
Pages: 76
Size: 6.00" wide x 8.75" long x 0.25" tall
Weight: 0.286
Language: English

Data Sources in the Digital Health Utility
Moving to a Continuously Learning Health System
Workshop Scope and Objectives
Organization of the Summary
Data Quality Challenges and Opportunities in a Learning Health System
Challenges for Data Collection and Aggregation
Patient-Reported Data and Maximizing Patient Value in the Learning Health System
Digital Health Data Uses: Leveraging Data for Better Health
Practice Management
Clinical Research
Translational Informatics
Supporting Public Health and Surveillance at the National Level
Supporting Public Health and Surveillance at the Local Level
Issues and Opportunities in the Emergence of Large Health-Related Datasets
The Challenge of Bias in Large Health-Related Datasets
Moving from Analytics to Insights
Innovations Emerging in the Clinical Data Utility
Distributed Queries
Data Harmonization and Normalization
Data Linkage
Strategies Going Forward
Current Data Sources: Better Awareness and Assessment
Data Input: Improve Patient Orientation, Quality, and Utility
Data Analysis: Improve Access, Tools, and Capacity
Public and Patient Engagement: Ramp Up Involvement
Building a Clinical Data Learning Utility
Clarity on Governance
Speaker Biographies
Workshop Agenda
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