Electronic Health Records

Electronic Health Records

Co-chairs:

Core goal: Facilitate multisite research collaborations between investigators and data stewards.

The ability to harness electronic health data is transforming the way clinical research is conducted. Electronic Health Records (EHR) Core members have expertise in:

  • Data models
  • Data standards and quality
  • Algorithms
  • Defining clinical phenotypes
  • Extracting information
  • Defining endpoints
  • Discovering errors in data from healthcare systems

This figure shows how data comes from the patient in a true state, gets translated into raw EHR data, which gets funneled into phenotypes, and then finally turned into knowledge.

The secondary use of EHR data for clinical research requires an understanding of data representation, exchange standards, and the influence of workflows. In addition, collaboration among clinicians, EHR experts, and informaticians is necessary to develop algorithms, or computable phenotypes, for identifying patients with clinical conditions being studied by researchers.

Further, comprehensive data characterization and data quality assessment enable investigators to match a research question with data of appropriate quality. The EHR Core supports these efforts across the Collaboratory and makes tools available to the wider research community.

Presentation

Rachel Richesson, PhD, Duke University School of Nursing, describes recent updates from the Collaboratory’s EHR Core (formerly the Phenotypes, Data Standards, and Data Quality Core).

Areas of Focus

Develop and test phenotype algorithms for use within and across projects

Identify data validation best practices

Use standards organizations to move these measures into practice

  • Develop a suite of standards appropriate for a collaborating center
  • Formalize standards through accredited standards-developing organizations
  • Produce implementation guides that define standards, data elements, format, and coding system

News and Interviews

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Products and Publications


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Presentations

  • GR-Slides-10-13-23

    Incorporating Social Determinants of Health Into PCORnet

  • GR-Video-09-30-23

    Navigating the Use of Patient-Reported Outcomes in Research and Practice: The PROTEUS Consortium (GR Video 2023)

  • GR-Slides-09-29-23

    Navigating the Use of Patient-Reported Outcomes in Research and Practice: The PROTEUS Consortium (GR Slides 2023)

  • GR-Video-08-25-23

    Pragmatic Trial of an EHR Application to Display Real-time PRO Data: Successes and Challenges (GR Video 2023)

  • GR-Slides-08-25-23

    Pragmatic Trial of an EHR Application to Display Real-time PRO Data: Successes and Challenges (GR Slides 2023)

  • GR-Video-05-12-23

    Design and Pragmatic Trial of COACH: A Patient Portal/EHR Information System for Home Blood Pressure Monitoring in Hypertension (GR Video 2023)

  • GR-Slides-05-12-23

    Design and Pragmatic Trial of COACH: A Patient Portal/EHR Information System for Home Blood Pressure Monitoring in Hypertension (GR Slides 2023)

  • SC-Mtg-2022-Day-2-Marsolo

    Data Collection and Merging Data Sets Panel at 2022 Steering Committee Meeting

  • Presentation_EHR_AMIAWorkshop_2018_c

    Data Quality Assessment Recommendations for PCTs (AMIA 2018)

  • GR-Video-06-26-20

    EHR Core Workshop: Keys to Success in the Evolving EHR Environment (GR Video 2020)

  • GR-Slides-06-26-20

    EHR Core Workshop: Keys to Success in the Evolving EHR Environment (GR Slides 2020)

  • GR-Video-05-29-20

    EHR Core Workshop: Experiences from the Collaboratory PCTs (GR Video 2020)

  • GR-Slides-05-29-20

    EHR Core Workshop: Experiences from the Collaboratory PCTs (GR Slides 2020)

  • GR-Video-05-08-20

    EHR Core Workshop: Real World Evidence: Contemporary Experience and Future Directions (GR Video 2020)

  • GR-Slides-05-08-20

    EHR Core Workshop: Contemporary Experience and Future Directions (GR Slides 2020)

  • GR-Video-05-01-20

    EHR Core Workshop: Can the COVID-19 Crisis Lead to Reformation of the Evidence Generation Ecosystem? (GR Video 2020)

  • GR-Slides-05-01-20

    EHR Core Workshop: Can the COVID-19 Crisis Lead to Reformation of the Evidence Generation Ecosystem? (GR Slides 2020)

  • GR-Video-03-01-19

    Approaches to Patient Follow-Up for Clinical Trials: What’s the Right Choice for Your Study? (GR Video 2019)

  • GR-Slides-03-01-19

    Approaches to Patient Follow-Up for Clinical Trials: What’s the Right Choice for Your Study? (GR Slides 2019)

  • GR-Slides-03-02-18

    Distributed Research Network Querying: A Status Report (GR Slides 2018)

  • GR-Video-03-02-18

    Distributed Research Network Querying: A Status Report (GR Video 2018)

  • 7.-Richesson_Simon_EHR-Core-Update-FINAL

    EHR Core: Accomplishments, Impact, and Future Directions

  • Topic 6-Measuring Outcomes

    ePCT Workshop Topic 6-Measuring Outcomes

  • GR-Video-08-25-17

    Thoughts from the Phenotypes, Data Standards & Data Quality Core (GR Video 2017)

  • GR-Slides-8-25-17

    Thoughts from the Phenotypes, Data Standards & Data Quality Core (GR Slides 2017)

  • GR-Video-06-23-17

    The Sentinel System: the Case for Analysis Ready Data (GR Slides 2017)

  • GR-Slides-06-23-17

    The Sentinel System: the Case for Analysis Ready Data (GR Slides 2017)

  • GR-Slides-08-26-16

    Update from the Phenotypes, Data Standards, and Data Quality Core of the NIH Health Care Systems Research Collaboratory

  • GR-Video-08-26-16

    Update from the Phenotypes, Data Standards, and Data Quality Core of the NIH Health Care Systems Research Collaboratory

  • Richesson_ICD-10 Transition in the NIH Collaboratory_5-May-2016

    ICD-10 Transition in the NIH Collaboratory


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