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A Prototype Knowledge Base and SMART App to Facilitate Organization of Patient Medications by Clinical Problems

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Date 2011 Dec 24
PMID 22195147
Citations 6
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Abstract

Increasing use of electronic health records requires comprehensive patient-centered views of clinical data. We describe a prototype knowledge base and SMART app that facilitates organization of patient medications by clinical problems, comprising a preliminary step in building such patient-centered views. The knowledge base includes 7,164,444 distinct problem-medication links, generated from RxNorm, SNOMED CT, and NDF-RT within the UMLS Metathesaurus. In an evaluation of the knowledge base applied to 5000 de-identified patient records, 22.4% of medications linked to an entry in the patient's active problem list, compared to 32.6% of medications manually linked by providers; 46.5% of total links were unique to the knowledge base, not added by providers. Expert review of a random patient subset estimated a sensitivity of 37.1% and specificity of 98.9%. The SMART API successfully utilized the knowledge base to generate problem-medication links for test patients. Future work is necessary to improve knowledge base sensitivity and efficiency.

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References
1.
Carter J, Brown S, Erlbaum M, Gregg W, Elkin P, Speroff T . Initializing the VA medication reference terminology using UMLS metathesaurus co-occurrences. Proc AMIA Symp. 2002; :116-20. PMC: 2244264. View

2.
Singh H, Naik A, Rao R, Petersen L . Reducing diagnostic errors through effective communication: harnessing the power of information technology. J Gen Intern Med. 2008; 23(4):489-94. PMC: 2359508. DOI: 10.1007/s11606-007-0393-z. View

3.
. Establishment of the permanent certification program for health information technology. Final rule. Fed Regist. 2011; 76(5):1261-331. View

4.
Burton M, Simonaitis L, Schadow G . Medication and indication linkage: A practical therapy for the problem list?. AMIA Annu Symp Proc. 2008; :86-90. PMC: 2655999. View

5.
Sittig D, Teich J, Osheroff J, Singh H . Improving clinical quality indicators through electronic health records: it takes more than just a reminder. Pediatrics. 2009; 124(1):375-7. PMC: 3095847. DOI: 10.1542/peds.2009-0339. View