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Brief Report
May 30, 2019

Medication Accuracy in Electronic Health Records for Microbial Keratitis

Author Affiliations
  • 1W. K. Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor
  • 2Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor
  • 3Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
  • 4Consulting for Statistics, Computing, and Analytics Research, University of Michigan, Ann Arbor
JAMA Ophthalmol. Published online May 30, 2019. doi:10.1001/jamaophthalmol.2019.1444
Key Points

Question  Are formal medication lists in electronic health records accurate for ophthalmic medications?

Findings  In this cross-sectional study conducted on clinical encounters of patients with microbial keratitis, almost one-quarter of medications did not match between the clinician’s clinical progress note and the formal electronic health record medication list.

Meaning  Medication lists held in electronic health records may not completely capture up-to-date, accurate clinical information of ophthalmic medications.

Abstract

Importance  Electronic health records (EHRs) contain an abundance of health information. However, researchers need to understand data accuracy to ask appropriate research questions.

Objective  To investigate the concordance of the names of medications for microbial keratitis in the structured, formal EHR medication list and the text of clinicians’ progress notes.

Design, Setting, and Participants  This cross-sectional study, conducted in the cornea section of an ophthalmology department in a tertiary care, referral academic medical center, examined the medications of 53 patients with microbial keratitis treated until disease resolution from July 1, 2015, to August 1, 2018. Documentation of medications was compared between the structured medication list extracted from the EHR server and medications written into the clinical progress note and transcribed by the study team.

Exposure  Medication treatment for microbial keratitis.

Main Outcomes and Measures  Medication mismatch frequency.

Results  The study sample included 24 men and 29 women, with a mean (SD) age of 51.8 (19.6) years. Of the 247 medications identified, 57 (23.1%) of prescribed medications differed between the progress notes and the formal EHR-based medication list. Reasons included medications not prescribed via the EHR ordering system (25 [43.9%]), outside medications not reconciled in the internal EHR medication list (23 [40.4%]), and medications prescribed via the EHR ordering system and in the formal list, but not described in the clinical note (9 [15.8%]). Fortified antimicrobials represented the largest category for medication mismatch between modalities (17 of 70 [24.3%]). Nearly one-third of patients (17 [32.1%]) had at least 1 medication mismatch in their record.

Conclusions and Relevance  Almost 1 in 4 medications were mismatched between the progress note and formal medication list in the EHR. These findings suggest that EHR data should be checked for internal consistency before use in research.

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