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.
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
UR - http://www.scopus.com/inward/record.url?scp=85081233125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081233125&partnerID=8YFLogxK
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 -