911±¬ÁÏÍø

Optimizing Strategies for Clinical Decision Support

Ìý Ìý Ìý Ìý| Summary of a Meeting Series

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As a result of a collaboration between the NAM and the Office of the 911±¬ÁÏÍø Coordinator for Health Information Technology, this NAM Special Publication summarizes and builds upon a meeting series in which a multi-stakeholder 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 to address the barriers to realizing the full benefits of CDS-facilitated value improvement. Optimizing Strategies for Clinical Decision Support 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.

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Key Messages | Social Media Toolkit

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From the Special Publication

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Priorities for Collaborative Action

1. Establish CDS technical standards
2. Engage federal leadership for CDS standards innovation and maturation
3. Create a CDS technical information resource
4. Disseminate best practices
5. Create a national CDS repository
6. Measure CDS usage
7. Develop tools to assess CDS efficacy
8. Publish performance evaluations
9. Market CDS to stakeholders
10. Promote financing and measurement to accelerate CDS adoption
11. Create a legal framework for CDS
12. Develop a multi-stakeholder CDS learning community to inform usability
13. Establish an investment program for CDS researchÌý[space height=”10″]

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Meetings

March 16, 2016 | Meeting 1Ìý

October 27, 2016 | Meeting 2

February 10, 2017 | Meeting 3

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Sponsor

This project was made possible by the Office of the 911±¬ÁÏÍø Coordinator for Health Information Technology.

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Steering Committee

• James E. Tcheng, MD, FACC, FSCAI, FSEC, Duke University School of Medicine (Chair)
• Suzanne Bakken,ÌýPhD, RN, FAAN, FACMI, Columbia University
• EdwinÌý A. Lomotan,ÌýMD, FAAP, Agency for Healthcare Research and Quality
• David W. Bates,Ìý MD, MSc, Brigham and Women’s Hospital
• Erin Mackay,ÌýMPH, 911±¬ÁÏÍø Partnership for Women & Families
• Hugh Bonner III,ÌýMD, Saint Francis Healthcare
• Tejal K. Gandhi,ÌýMD, MPH, CPPS, 911±¬ÁÏÍø Patient Safety Foundation
• Jonathan Teich,ÌýMD, PhD, Brigham and Women’s Hospital, Harvard University
• Meredith Josephs,ÌýMD, MPH, FAAFP, Privia Health
• Scott Weingarten,Ìý MD, MPH, Cedars-Sinai Health System

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