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

Name: Digital Data Improvement Priorities for Continuous Learning in Health and Health Care:
Price: 5.7 USD
Availability: InStock
ISBN: 9780309259415

ISBN-10: 030925941X

ISBN-13: 9780309259415

Edition: 2012

Authors: Claudia Grossman, Brian Powers, Julian Sanders

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…

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




Introduction


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


Introduction


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


Introduction


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


Introduction


The Challenge of Bias in Large Health-Related Datasets


Moving from Analytics to Insights



Innovations Emerging in the Clinical Data Utility


Introduction


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


Appendixes



Speaker Biographies



Workshop Agenda