Journal article
A review of medical terminology standards and structured reporting
Journal of veterinary diagnostic investigation, Vol.30(1), pp.17-25
01/2018
DOI: 10.1177/1040638717738276
PMCID: PMC6504145
PMID: 29034813
Abstract
Much effort has been invested in standardizing medical terminology for representation of medical knowledge, storage in electronic medical records, retrieval, reuse for evidence-based decision making, and for efficient messaging between users. We only focus on those efforts related to the representation of clinical medical knowledge required for capturing diagnoses and findings from a wide range of general to specialty clinical perspectives (e.g., internists to pathologists). Standardized medical terminology and the usage of structured reporting have been shown to improve the usage of medical information in secondary activities, such as research, public health, and case studies. The impact of standardization and structured reporting is not limited to secondary activities; standardization has been shown to have a direct impact on patient healthcare.
Details
- Title: Subtitle
- A review of medical terminology standards and structured reporting
- Creators
- Abdullah Awaysheh - Animal Health Diagnostic Center, Cornell University, Ithaca, NY (Elvinger)Jeffrey Wilcke - Animal Health Diagnostic Center, Cornell University, Ithaca, NY (Elvinger)François Elvinger - Animal Health Diagnostic Center, Cornell University, Ithaca, NY (Elvinger)Loren Rees - Animal Health Diagnostic Center, Cornell University, Ithaca, NY (Elvinger)Weiguo Fan - Animal Health Diagnostic Center, Cornell University, Ithaca, NY (Elvinger)Kurt Zimmerman - Animal Health Diagnostic Center, Cornell University, Ithaca, NY (Elvinger)
- Resource Type
- Journal article
- Publication Details
- Journal of veterinary diagnostic investigation, Vol.30(1), pp.17-25
- DOI
- 10.1177/1040638717738276
- PMID
- 29034813
- PMCID
- PMC6504145
- ISSN
- 1040-6387
- eISSN
- 1943-4936
- Language
- English
- Date published
- 01/2018
- Academic Unit
- Business Analytics
- Record Identifier
- 9984083816102771
Metrics
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