University of Illinois Chicago
Browse

The postencounter form system: viewpoint on efficient data collection within electronic health records

Download (410.87 kB)
Version 2 2023-04-22, 18:11
Version 1 2023-01-17, 23:24
journal contribution
posted on 2023-04-22, 18:11 authored by P Held, RA Boley, WG Faig, JA O'Toole, I Desai, AK Zalta, J Khan, S Sims, MB Brennan, RV Horn, AC Glover, BN Hota, BD Patty, S Shafiq Rab, MH Pollack, Niranjan KarnikNiranjan Karnik
Electronic health records (EHRs) offer opportunities for research and improvements in patient care. However, challenges exist in using data from EHRs due to the volume of information existing within clinical notes, which can be labor intensive and costly to transform into usable data with existing strategies. This case report details the collaborative development and implementation of the postencounter form (PEF) system into the EHR at the Road Home Program at Rush University Medical Center in Chicago, IL to address these concerns with limited burden to clinical workflows. The PEF system proved to be an effective tool with over 98% of all clinical encounters including a completed PEF within 5 months of implementation. In addition, the system has generated over 325,188 unique, readily-accessible data points in under 4 years of use. The PEF system has since been deployed to other settings demonstrating that the system may have broader clinical utility.

Funding

Great Lakes Node of the Drug Abuse Clinical Trials Network | Funder: National Institutes of Health (National Institute on Drug Abuse) | Grant ID: UG1DA049467

Employing eSBI in a Community-based HIV Testing Environment for At-risk Youth | Funder: National Institute on Drug Abuse | Grant ID: R01DA041071

History

Citation

Held, P., Boley, R. A., Faig, W. G., O'Toole, J. A., Desai, I., Zalta, A. K., Khan, J., Sims, S., Brennan, M. B., Horn, R. V., Glover, A. C., Hota, B. N., Patty, B. D., Shafiq Rab, S., Pollack, M. H.Karnik, N. S. (2020). The postencounter form system: viewpoint on efficient data collection within electronic health records. JMIR Formative Research, 4(4), e17429-. https://doi.org/10.2196/17429

Publisher

JMIR Publications

Language

  • en

issn

2561-326X

Usage metrics

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC