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Measure once, cut twice--adding patient-reported outcome measures to the electronic health record for comparative effectiveness research.

Publication ,  Journal Article
Wu, AW; Kharrazi, H; Boulware, LE; Snyder, CF
Published in: J Clin Epidemiol
August 2013

OBJECTIVE: This article presents the current state of patient-reported outcome measures and explains new opportunities for leveraging the recent adoption of electronic health records to expand the application of patient-reported outcomes in both clinical care and comparative effectiveness research. STUDY DESIGN AND SETTING: Historic developments of patient-reported outcome, electronic health record, and comparative effectiveness research are analyzed in two dimensions: patient centeredness and digitization. We pose the question, "What needs to be standardized around the collection of patient-reported outcomes in electronic health records for comparative effectiveness research?" RESULTS: We identified three converging trends: the progression of patient-reported outcomes toward greater patient centeredness and electronic adaptation; the evolution of electronic health records into personalized and fully digitized solutions; and the shift toward patient-oriented comparative effectiveness research. Related to this convergence, we propose an architecture for patient-reported outcome standardization that could serve as a first step toward a more comprehensive integration of patient-reported outcomes with electronic health record for both practice and research. CONCLUSION: The science of patient-reported outcome measurement has matured sufficiently to be integrated routinely into electronic health records and other electronic health solutions to collect data on an ongoing basis for clinical care and comparative effectiveness research. Further efforts and ideally coordinated efforts from various stakeholders are needed to refine the details of the proposed framework for standardization.

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Published In

J Clin Epidemiol

DOI

EISSN

1878-5921

Publication Date

August 2013

Volume

66

Issue

8 Suppl

Start / End Page

S12 / S20

Location

United States

Related Subject Headings

  • United States
  • Systems Integration
  • Reproducibility of Results
  • Quality of Life
  • Patient Satisfaction
  • Patient Participation
  • Outcome Assessment, Health Care
  • Models, Theoretical
  • Medical Informatics
  • Humans
 

Citation

APA
Chicago
ICMJE
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Wu, A. W., Kharrazi, H., Boulware, L. E., & Snyder, C. F. (2013). Measure once, cut twice--adding patient-reported outcome measures to the electronic health record for comparative effectiveness research. J Clin Epidemiol, 66(8 Suppl), S12–S20. https://doi.org/10.1016/j.jclinepi.2013.04.005
Wu, Albert W., Hadi Kharrazi, L Ebony Boulware, and Claire F. Snyder. “Measure once, cut twice--adding patient-reported outcome measures to the electronic health record for comparative effectiveness research.J Clin Epidemiol 66, no. 8 Suppl (August 2013): S12–20. https://doi.org/10.1016/j.jclinepi.2013.04.005.
Wu AW, Kharrazi H, Boulware LE, Snyder CF. Measure once, cut twice--adding patient-reported outcome measures to the electronic health record for comparative effectiveness research. J Clin Epidemiol. 2013 Aug;66(8 Suppl):S12–20.
Wu, Albert W., et al. “Measure once, cut twice--adding patient-reported outcome measures to the electronic health record for comparative effectiveness research.J Clin Epidemiol, vol. 66, no. 8 Suppl, Aug. 2013, pp. S12–20. Pubmed, doi:10.1016/j.jclinepi.2013.04.005.
Wu AW, Kharrazi H, Boulware LE, Snyder CF. Measure once, cut twice--adding patient-reported outcome measures to the electronic health record for comparative effectiveness research. J Clin Epidemiol. 2013 Aug;66(8 Suppl):S12–S20.
Journal cover image

Published In

J Clin Epidemiol

DOI

EISSN

1878-5921

Publication Date

August 2013

Volume

66

Issue

8 Suppl

Start / End Page

S12 / S20

Location

United States

Related Subject Headings

  • United States
  • Systems Integration
  • Reproducibility of Results
  • Quality of Life
  • Patient Satisfaction
  • Patient Participation
  • Outcome Assessment, Health Care
  • Models, Theoretical
  • Medical Informatics
  • Humans