Developing a data infrastructure for a learning health system: The PORTAL network

Elizabeth A. McGlynn, Tracy A. Lieu, Mary L. Durham, Alan Bauck, Reesa Laws, Alan S. Go, Jersey Chen, Heather Spencer Feigelson, Douglas A. Corley, Deborah Rohm Young, Andrew F. Nelson, Arthur J. Davidson, Leo S. Morales, Michael G. Kahn

    Research output: Contribution to journalArticlepeer-review


    The Kaiser Permanente & Strategic Partners Patient Outcomes Research To Advance Learning (PORTAL) network engages four healthcare delivery systems (Kaiser Permanente, Group Health Cooperative, HealthPartners, and Denver Health) and their affiliated research centers to create a new national network infrastructure that builds on existing relationships among these institutions. PORTAL is enhancing its current capabilities by expanding the scope of the common data model, paying particular attention to incorporating patient-reported data more systematically, implementing new multi-site data governance procedures, and integrating the PCORnet PopMedNet platform across our research centers. PORTAL is partnering with clinical research and patient experts to create cohorts of patients with a common diagnosis (colorectal cancer), a rare diagnosis (adolescents and adults with severe congenital heart disease), and adults who are overweight or obese, including those with pre-diabetes or diabetes, to conduct large-scale observational comparative effectiveness research and pragmatic clinical trials across diverse clinical care settings.

    Original languageEnglish (US)
    Pages (from-to)596-601
    Number of pages6
    JournalJournal of the American Medical Informatics Association
    Issue number4
    StatePublished - 2014

    ASJC Scopus subject areas

    • Health Informatics

    Fingerprint Dive into the research topics of 'Developing a data infrastructure for a learning health system: The PORTAL network'. Together they form a unique fingerprint.

    Cite this