Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Physician Information Needs and Electronic Health Records (EHRs): Time to Reengineer the Clinic Note

Richelle J. Koopman, Linsey M. Barker Steege, Joi L. Moore, Martina A. Clarke, Shannon M. Canfield, Min S. Kim and Jeffery L. Belden
The Journal of the American Board of Family Medicine May 2015, 28 (3) 316-323; DOI: https://doi.org/10.3122/jabfm.2015.03.140244
Richelle J. Koopman
From the Department of Family and Community Medicine (RJK, JLB), the Department of Health Management and Informatics (MAC, MSK), and the Center for Health Policy (SMC), University of Missouri School of Medicine, Columbia; the School of Nursing (LMBS) and the Center for Quality and Productivity Improvement (LMBS), University of Wisconsin, Madison; the School of Information Science and Learning Technologies, College of Education (JLM), and the Informatics Institute (JLM, MAC, MSK), University of Missouri, Columbia.
MD, MS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Linsey M. Barker Steege
From the Department of Family and Community Medicine (RJK, JLB), the Department of Health Management and Informatics (MAC, MSK), and the Center for Health Policy (SMC), University of Missouri School of Medicine, Columbia; the School of Nursing (LMBS) and the Center for Quality and Productivity Improvement (LMBS), University of Wisconsin, Madison; the School of Information Science and Learning Technologies, College of Education (JLM), and the Informatics Institute (JLM, MAC, MSK), University of Missouri, Columbia.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joi L. Moore
From the Department of Family and Community Medicine (RJK, JLB), the Department of Health Management and Informatics (MAC, MSK), and the Center for Health Policy (SMC), University of Missouri School of Medicine, Columbia; the School of Nursing (LMBS) and the Center for Quality and Productivity Improvement (LMBS), University of Wisconsin, Madison; the School of Information Science and Learning Technologies, College of Education (JLM), and the Informatics Institute (JLM, MAC, MSK), University of Missouri, Columbia.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Martina A. Clarke
From the Department of Family and Community Medicine (RJK, JLB), the Department of Health Management and Informatics (MAC, MSK), and the Center for Health Policy (SMC), University of Missouri School of Medicine, Columbia; the School of Nursing (LMBS) and the Center for Quality and Productivity Improvement (LMBS), University of Wisconsin, Madison; the School of Information Science and Learning Technologies, College of Education (JLM), and the Informatics Institute (JLM, MAC, MSK), University of Missouri, Columbia.
MS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shannon M. Canfield
From the Department of Family and Community Medicine (RJK, JLB), the Department of Health Management and Informatics (MAC, MSK), and the Center for Health Policy (SMC), University of Missouri School of Medicine, Columbia; the School of Nursing (LMBS) and the Center for Quality and Productivity Improvement (LMBS), University of Wisconsin, Madison; the School of Information Science and Learning Technologies, College of Education (JLM), and the Informatics Institute (JLM, MAC, MSK), University of Missouri, Columbia.
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Min S. Kim
From the Department of Family and Community Medicine (RJK, JLB), the Department of Health Management and Informatics (MAC, MSK), and the Center for Health Policy (SMC), University of Missouri School of Medicine, Columbia; the School of Nursing (LMBS) and the Center for Quality and Productivity Improvement (LMBS), University of Wisconsin, Madison; the School of Information Science and Learning Technologies, College of Education (JLM), and the Informatics Institute (JLM, MAC, MSK), University of Missouri, Columbia.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jeffery L. Belden
From the Department of Family and Community Medicine (RJK, JLB), the Department of Health Management and Informatics (MAC, MSK), and the Center for Health Policy (SMC), University of Missouri School of Medicine, Columbia; the School of Nursing (LMBS) and the Center for Quality and Productivity Improvement (LMBS), University of Wisconsin, Madison; the School of Information Science and Learning Technologies, College of Education (JLM), and the Informatics Institute (JLM, MAC, MSK), University of Missouri, Columbia.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Abstract

Background: Primary care physicians face cognitive overload daily, perhaps exacerbated by the form of electronic health record documentation. We examined physician information needs to prepare for clinic visits, focusing on past clinic progress notes.

Methods: This study used cognitive task analysis with 16 primary care physicians in the scenario of preparing for office visits. Physicians reviewed simulated acute and chronic care visit notes. We collected field notes and document highlighting and review, and we audio-recorded cognitive interview while on task, with subsequent thematic qualitative analysis. Member checks included the presentation of findings to the interviewed physicians and their faculty peers.

Results: The Assessment and Plan section was most important and usually reviewed first. The History of the Present Illness section could provide supporting information, especially if in narrative form. Physicians expressed frustration with the Review of Systems section, lamenting that the forces driving note construction did not match their information needs. Repetition of information contained in other parts of the chart (eg, medication lists) was identified as a source of note clutter. A workflow that included a patient summary dashboard made some elements of past notes redundant and therefore a source of clutter.

Conclusions: Current ambulatory progress notes present more information to the physician than necessary and in an antiquated format. It is time to reengineer the clinic progress note to match the workflow and information needs of its primary consumer.

  • Decision Theory
  • Electronic Health Records
  • Information Systems
  • Medical Informatics
  • Qualitative Research
View Full Text
PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 28 (3)
The Journal of the American Board of Family Medicine
Vol. 28, Issue 3
May-June 2015
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Physician Information Needs and Electronic Health Records (EHRs): Time to Reengineer the Clinic Note
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
1 + 12 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Physician Information Needs and Electronic Health Records (EHRs): Time to Reengineer the Clinic Note
Richelle J. Koopman, Linsey M. Barker Steege, Joi L. Moore, Martina A. Clarke, Shannon M. Canfield, Min S. Kim, Jeffery L. Belden
The Journal of the American Board of Family Medicine May 2015, 28 (3) 316-323; DOI: 10.3122/jabfm.2015.03.140244

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Physician Information Needs and Electronic Health Records (EHRs): Time to Reengineer the Clinic Note
Richelle J. Koopman, Linsey M. Barker Steege, Joi L. Moore, Martina A. Clarke, Shannon M. Canfield, Min S. Kim, Jeffery L. Belden
The Journal of the American Board of Family Medicine May 2015, 28 (3) 316-323; DOI: 10.3122/jabfm.2015.03.140244
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Impacts of Operational Failures on Primary Care Physicians Work: A Critical Interpretive Synthesis of the Literature
  • Dynamic Electronic Health Record Note Prototype: Seeing More by Showing Less
  • A cohort study on physician documentation and the accuracy of administrative data coding to improve passive surveillance of transient ischaemic attacks
  • Electronic Health Record Innovations for Healthier Patients and Happier Doctors
  • Google Scholar

More in this TOC Section

  • A Pilot Comparison of Clinical Data Collection Methods Using Paper, Electronic Health Record Prompt, and a Smartphone Application
  • Associations Between Modifiable Preconception Care Indicators and Pregnancy Outcomes
  • Perceptions and Preferences for Defining Biosimilar Products in Prescription Drug Promotion
Show more Original Research

Similar Articles

Keywords

  • Decision Theory
  • Electronic Health Records
  • Information Systems
  • Medical Informatics
  • Qualitative Research

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire