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How the VA is training the Next-Generation workforce for learning health systems

dc.contributor.authorKilbourne, Amy M.
dc.contributor.authorSchmidt, Joel
dc.contributor.authorEdmunds, Margo
dc.contributor.authorVega, Ryan
dc.contributor.authorBowersox, Nicholas
dc.contributor.authorAtkins, David
dc.date.accessioned2022-11-09T21:16:40Z
dc.date.available2023-11-09 16:16:39en
dc.date.available2022-11-09T21:16:40Z
dc.date.issued2022-10
dc.identifier.citationKilbourne, Amy M.; Schmidt, Joel; Edmunds, Margo; Vega, Ryan; Bowersox, Nicholas; Atkins, David (2022). "How the VA is training the Next-Generation workforce for learning health systems." Learning Health Systems 6(4): n/a-n/a.
dc.identifier.issn2379-6146
dc.identifier.issn2379-6146
dc.identifier.urihttps://hdl.handle.net/2027.42/175057
dc.description.abstractObjectivesThe U.S. Department of Veterans Affairs (VA) has been a national leader in Learning Health System (LHS) implementation due to its combined mission of research, education, clinical care, and emergency preparedness. We describe the current VA LHS training ecosystem within the Veterans Health Administration’s Office of Academic Affiliations (OAA), Office of Research and Development (ORD), ORD’s Health Services Research and Development (HSR&D) program, and Innovation Ecosystem (IE), including lessons learned regarding their sustainment.MethodsThe VA LHS training ecosystem is based on the Learning Loop and HSR&D Quality Enhancement Research Initiative (QUERI) Roadmap, which describes VA learning opportunities, underlying infrastructures, and core competencies.ResultsVA-focused LHS educational programs include data-to-knowledge initiatives in health sciences and analytics, for example, OAA/HSR&D health services and informatics research fellowships; knowledge-to-performance opportunities in implementation and quality improvement, for example, QUERI Learning Hubs and IEs’ Diffusion of Excellence Initiative; and performance-to-data embedded opportunities, for example, IE’s entrepreneur fellowship programs and QUERI’s Advancing Diversity in Implementation Leadership. These training programs are supported by combined VA research and clinical operations investments in funding, informatics, governance, and processes. Lessons learned include ongoing alignment of research funding with operational priorities and capacity, relentless recruitment and retention of implementation, system, and information scientists especially from under-represented groups, sustainment of data infrastructures suitable for research and quality improvement, and ensuring sustainable funding opportunities for researchers to work on system-wide health care problems.ConclusionsThere is an urgent need to expand training opportunities in LHSs, especially as health care is increasingly driven by multiple interested parties, impacted by persistent health disparities exacerbated by emerging public health threats, and rapid technology growth. With ongoing alignment of research and clinical goals, foundational support through research funding, underlying clinical operations infrastructures, and active engagement interested parties, VA’s LHS training ecosystem promotes a more LHS-savvy, 21st century workforce.
dc.publisherWiley Periodicals, Inc.
dc.publisherNational Academies Press
dc.subject.othertraining
dc.subject.otherimplementation science
dc.subject.otherinformatics
dc.subject.otherpatient safety
dc.subject.otherquality of care
dc.subject.otherveterans
dc.titleHow the VA is training the Next-Generation workforce for learning health systems
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelBiomedical Health Sciences
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175057/1/lrh210333_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175057/2/lrh210333.pdf
dc.identifier.doi10.1002/lrh2.10333
dc.identifier.sourceLearning Health Systems
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dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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