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Editorial
. 2021 Dec 28;6(1):e10302.
doi: 10.1002/lrh2.10302. eCollection 2022 Jan.

Learning from data: A recurring feature on the science and practice of data-driven learning health systems

Peter J Embi  1 , Philip R O Payne  2 , Charles P Friedman  3
Affiliations
Editorial

Learning from data: A recurring feature on the science and practice of data-driven learning health systems

Peter J Embi et al. Learn Health Syst. .
No abstract available

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Conflict of interest statement

Dr. Charles P. Friedman is Chair of the Department of Learning Health Sciences at the University of Michigan Medical School. The authors assert they have no conflicts of interest.

References

    1. Friedman CP, Allee NJ, Delaney BC, et al. The science of learning health systems: foundations for a new journal. Learn Health Syst. 2017;1(1):e10020. - PMC - PubMed
    1. Friedman C, Rubin J, Brown J, et al. Toward a science of learning systems: a research agenda for the high‐functioning learning health system. J Am Med Inform Assoc. 2015;22(1):43‐50. - PMC - PubMed
    1. Embi PJ, Payne PR. Advancing methodologies in clinical research informatics (CRI): foundational work for a maturing field. J Biomed Inform. 2014;52:1‐3. - PubMed
    1. Embi PJ, Payne PR. Clinical research informatics: challenges, opportunities and definition for an emerging domain. J Am Med Inform Assoc. 2009;16(3):316‐327. - PMC - PubMed
    1. Madhavan S, Bastarache L, Brown JS, et al. Use of electronic health records to support a public health response to the COVID‐19 pandemic in the United States: a perspective from 15 academic medical centers. J Am Med Inform Assoc. 2021;28(2):393‐401. - PMC - PubMed

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