TY - JOUR
T1 - Summary of second annual MCBK public meeting
T2 - Mobilizing Computable Biomedical Knowledge—A movement to accelerate translation of knowledge into action
AU - Richesson, Rachel L.
AU - Bray, Bruce E.
AU - Dymek, Christine
AU - Greenes, Robert A.
AU - McIntosh, Leslie D.
AU - Middleton, Blackford
AU - Perry, Gerald
AU - Platt, Jodyn
AU - Shaffer, Christopher
N1 - Funding Information:
The NLM provided space and logistical support for the meeting. Participants paid modest registration fees to cover costs for meals and meeting space. The meeting costs, including an evening reception, were supported in part by the Department of Learning Health Sciences at the University of Michigan.
Funding Information:
The authors wish to thank Lisa Ferguson and Michelle Williams for their significant contributions to the planning and management of the meeting, and for their ongoing and meticulous project management support for the MCBK initiative. We also wish to recognize important contributions from others at the University of Michigan, including: Jack Allen, Peter Boisvert, Janelle Burleigh, Allen Flynn, Charles Friedman, Paige Nong, Kate Satterfield, Joshua Rubin, and Doug Van Houweling. The authors gratefully acknowledge the support of the University of Michigan and the National Library of Medicine as well as the contributions of all conference speakers, rapporteurs and participants. The authors thank the NIH for sponsoring the meeting venue. The opinions expressed here represent those of the authors and do not represent official views of the NIH or any of its institutes and centers. The NLM provided space and logistical support for the meeting. Participants paid modest registration fees to cover costs for meals and meeting space. The meeting costs, including an evening reception, were supported in part by the Department of Learning Health Sciences at the University of Michigan.
Publisher Copyright:
© 2020 The Authors. Learning Health Systems published by Wiley Periodicals, Inc. on behalf of the University of Michigan
PY - 2020/4/1
Y1 - 2020/4/1
N2 - The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms and programmatic code. There is a growing need to apply this knowledge to improve health in Learning Health Systems, health delivery organizations, and other settings. However, most organizations do not yet have the infrastructure required to consume and apply computable knowledge, and national policies and standards adoption are not sufficient to ensure that it is discoverable and used safely and fairly, nor is there widespread experience in the process of knowledge implementation as clinical decision support. The Mobilizing Computable Biomedical Knowledge (MCBK) community formed in 2016 to address these needs. This report summarizes the main outputs of the Second Annual MCBK public meeting, which was held at the National Institutes of Health on July 18-19, 2019 and brought together over 150 participants from various domains to frame and address important dimensions for mobilizing CBK.
AB - The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms and programmatic code. There is a growing need to apply this knowledge to improve health in Learning Health Systems, health delivery organizations, and other settings. However, most organizations do not yet have the infrastructure required to consume and apply computable knowledge, and national policies and standards adoption are not sufficient to ensure that it is discoverable and used safely and fairly, nor is there widespread experience in the process of knowledge implementation as clinical decision support. The Mobilizing Computable Biomedical Knowledge (MCBK) community formed in 2016 to address these needs. This report summarizes the main outputs of the Second Annual MCBK public meeting, which was held at the National Institutes of Health on July 18-19, 2019 and brought together over 150 participants from various domains to frame and address important dimensions for mobilizing CBK.
KW - HIT policy
KW - clinical decision support
KW - computable biomedical knowledge
KW - dissemination
KW - knowledge
KW - metadata
KW - standards
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U2 - 10.1002/lrh2.10222
DO - 10.1002/lrh2.10222
M3 - Article
AN - SCOPUS:85081233125
VL - 4
JO - Learning Health Systems
JF - Learning Health Systems
SN - 2379-6146
IS - 2
M1 - e10222
ER -