Milton Public Library

Optimizing strategies for clinical decision support, summary of a meeting series, James E. Tcheng, Suzanne Bakken, David W. Bates, Hugh Bonner III, Tejal K. Gandhi, Meredith Josephs, Kensaku Kawamoto, Edwin A. Lomotan, Erin Mackay, Blackford Middleton, Jonathan M. Teich, Scott Weingarten, Marianne Hamilton Lopez, editors

Label
Optimizing strategies for clinical decision support, summary of a meeting series, James E. Tcheng, Suzanne Bakken, David W. Bates, Hugh Bonner III, Tejal K. Gandhi, Meredith Josephs, Kensaku Kawamoto, Edwin A. Lomotan, Erin Mackay, Blackford Middleton, Jonathan M. Teich, Scott Weingarten, Marianne Hamilton Lopez, editors
Language
eng
Index
no index present
Literary Form
non fiction
Main title
Optimizing strategies for clinical decision support
Medium
electronic resource
Nature of contents
dictionaries
Responsibility statement
James E. Tcheng, Suzanne Bakken, David W. Bates, Hugh Bonner III, Tejal K. Gandhi, Meredith Josephs, Kensaku Kawamoto, Edwin A. Lomotan, Erin Mackay, Blackford Middleton, Jonathan M. Teich, Scott Weingarten, Marianne Hamilton Lopez, editors
Series statement
The learning health system series
Sub title
summary of a meeting series
Summary
The result of a collaboration between the National Academy of Medicine (NAM) and the Office of the National Coordinator for Health Information Technology, this NAM Special Publication summarizes and builds upon a meeting series in which a multistakeholder group of experts discussed the potential of clinical decision support (CDS) to transform care delivery by ameliorating the burden that expanding clinical knowledge and care and choice complexity place on the finite time and attention of clinicians, patients, and members of the care team. This summary also includes highlights from discussions about addressing the barriers to realizing the full benefits of CDS-facilitated value improvement. Optimizing Strategies for Clinical Decision Support: Summary of Meeting Series identifies the need for a continuously learning health system driven by the seamless and rapid generation, processing, and practical application of the best available evidence for clinical decision-making, and lays out a series of actionable, collaborative next steps to optimize strategies for adoption and use of clinical decision support
Target audience
adult
Classification
Contributor
Content