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    Transitioning from learning healthcare systems to learning health care communities

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    Author
    Mullins, C.D.
    Wingate, L.T.
    Edwards, H.A.
    Date
    2018
    Journal
    Journal of Comparative Effectiveness Research
    Publisher
    Future Medicine Ltd.
    Type
    Review
    
    Metadata
    Show full item record
    See at
    https://dx.doi.org/10.2217/cer-2017-0105
    Abstract
    The learning healthcare system (LHS) model framework has three core, foundational components. These include an infrastructure for health-related data capture, care improvement targets and a supportive policy environment. Despite progress in advancing and implementing LHS approaches, low levels of participation from patients and the public have hampered the transformational potential of the LHS model. An enhanced vision of a community-engaged LHS redesign would focus on the provision of health care from the patient and community perspective to complement the healthcare system as the entity that provides the environment for care. Addressing the LHS framework implementation challenges and utilizing community levers are requisite components of a learning health care community model, version two of the LHS archetype. Copyright 2018 Hillary A Edwards.
    Sponsors
    This project was supported by grant number R24HS022135 from the Agency for Healthcare Research and Quality. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.
    Keyword
    community engagement
    learning health care community
    population health
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048446244&doi=10.2217%2fcer-2017-0105&partnerID=40&md5=28aa349055ebf299af9479477e3a45a5; http://hdl.handle.net/10713/9074
    ae974a485f413a2113503eed53cd6c53
    10.2217/cer-2017-0105
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