Login / Signup

The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records.

Philip HeldRandy A BoleyWalter G FaigJohn A O'TooleImran DesaiAlyson K ZaltaJawad KhanShannon SimsMichael B BrennanRebecca Van HornAngela C GloverBala N HotaBrian D PattyS Shafiq RabMark H PollackNiranjan S Karnik
Published in: JMIR formative research (2020)
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.
Keyphrases
  • electronic health record
  • clinical decision support
  • adverse drug
  • quality improvement
  • healthcare
  • case report
  • primary care
  • big data
  • data analysis