Link between prescriptions and the electronic health record. (1st June 2018)

• Record Type: Journal Article
• Authors: Nelson, Scott D.; Woodroof, Taylor; Liu, Wing; Lehmann, Christoph U.
• Is Part Of: American journal of health-system pharmacy. Volume 75:Number 11(2019)Supplement 2
• Page Start: S29
• Page End: S34
• Publication Date: 2018-06-01
• Subjects: clinical decision support -- electronic health records -- medical records -- medication reconciliation -- problem oriented; Hospital pharmacies -- United States -- Periodicals; 615.1
• DOI: 10.2146/ajhp170455
• Languages: English
• ISSNs: 1079-2082

Abstract

Abstract : Purpose: The extent to which medication prescriptions had a reason for the medication use documented in form of a potential indication within the electronic health record (EHR) problem lists using a MEDication Indication (MEDI) resource was evaluated. Methods: Prescriptions from January 1 to June 30, 2015, comparing them to patients' problem lists using MEDI and the MEDI High Precision Subset (MEDI-HPS) were analyzed. RxNorm generic ingredient name codes in MEDI were used to map prescriptions to problems using codes from the International Classification of Diseases, 9th edition . A reference standard was established to evaluate the MEDI precision and recall by having 2 pharmacists independently manually review prescriptions and problem lists from 30 randomly selected patients. Results: For 62, 191 patients, 61% of prescriptions matched a potential indication on the patient's problem list using MEDI, whereas only 38% had a match using MEDI-HPS. The precision of MEDI compared to the reference standard was 47% with a recall of 57%, whereas MEDI-HPS had a precision of 79% and recall of 96%. Secondary analysis excluding medication prescribed with a supply of ≤14 days gave slightly better, yet not significant, results. Conclusion: Analysis of patient records found most patients did not have an indication listed in the EHR problem list that would match a specific medication, suggesting that the problem lists may be incomplete. When using MEDI, 61% of prescriptions matched to the problem list, compared with only 38% using MEDI-HPS. Likewise, 37% of problems matched to prescriptions when using MEDI, compared with only 21% using MEDI-HPS.