TY - JOUR
T1 - Link between prescriptions and the electronic health record
AU - Nelson, Scott D.
AU - Woodroof, Taylor
AU - Lehmann, Christoph U.
AU - Liu, Wing
N1 - Publisher Copyright:
Copyright © 2018, American Society of Health-System Pharmacists Inc All rights reserved.
PY - 2018/6/1
Y1 - 2018/6/1
N2 - 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.
AB - 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.
KW - Clinical decision support
KW - Electronic health records
KW - Medical records
KW - Medication reconciliation
KW - Problem oriented
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U2 - 10.2146/ajhp170455
DO - 10.2146/ajhp170455
M3 - Article
C2 - 29802176
AN - SCOPUS:85047770461
SN - 1079-2082
VL - 75
SP - S29-S34
JO - American Journal of Health-System Pharmacy
JF - American Journal of Health-System Pharmacy
IS - 11
ER -