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Evaluation of the NCPDP Structured and Codified Sig Format for e-prescriptions
- Source :
- Journal of the American Medical Informatics Association. 18:645-651
- Publication Year :
- 2011
- Publisher :
- Oxford University Press (OUP), 2011.
-
Abstract
- Objective To evaluate the ability of the structure and code sets specified in the National Council for Prescription Drug Programs Structured and Codified Sig Format to represent ambulatory electronic prescriptions. Design We parsed the Sig strings from a sample of 20 161 de-identified ambulatory e-prescriptions into variables representing the fields of the Structured and Codified Sig Format. A stratified random sample of these representations was then reviewed by a group of experts. For codified Sig fields, we attempted to map the actual words used by prescribers to the equivalent terms in the designated terminology. Measurements Proportion of prescriptions that the Format could fully represent; proportion of terms used that could be mapped to the designated terminology. Results The fields defined in the Format could fully represent 95% of Sigs (95% CI 93% to 97%), but ambiguities were identified, particularly in representing multiple-step instructions. The terms used by prescribers could be codified for only 60% of dose delivery methods, 84% of dose forms, 82% of vehicles, 95% of routes, 70% of sites, 33% of administration timings, and 93% of indications. Limitations The findings are based on a retrospective sample of ambulatory prescriptions derived mostly from primary care physicians. Conclusion The fields defined in the Format could represent most of the patient instructions in a large prescription sample, but prior to its mandatory adoption, further work is needed to ensure that potential ambiguities are addressed and that a complete set of terms is available for the codified fields.
- Subjects :
- medicine.medical_specialty
Prescription drug
Health Informatics
Sample (statistics)
Research and Applications
computer.software_genre
Terminology
Set (abstract data type)
Electronic Prescribing
Ambulatory Care
Humans
Medication Errors
Medicine
Medical physics
Medical prescription
Drug Labeling
Natural Language Processing
Structure (mathematical logic)
Database
business.industry
E-Prescriptions
Systematized Nomenclature of Medicine
United States
Stratified sampling
Forms and Records Control
business
computer
Subjects
Details
- ISSN :
- 1527974X and 10675027
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Journal of the American Medical Informatics Association
- Accession number :
- edsair.doi.dedup.....b5ed271dbfc89a70d34bb4dfba2544b7
- Full Text :
- https://doi.org/10.1136/amiajnl-2010-000034