Literature DB >> 29034813

A review of medical terminology standards and structured reporting.

Abdullah Awaysheh1,2,3, Jeffrey Wilcke1,2,3, François Elvinger1,2,3, Loren Rees1,2,3, Weiguo Fan1,2,3, Kurt Zimmerman1,2,3.   

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.

Entities:  

Keywords:  Medical terminology; SNOMED; ontology; standards; structured reporting

Mesh:

Year:  2017        PMID: 29034813      PMCID: PMC6504145          DOI: 10.1177/1040638717738276

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  5 in total

1.  Disease diagnostic coding to facilitate evidence-based medicine: current and future perspectives.

Authors:  Rachel J Derscheid; Michael C Rahe; Eric R Burrough; Kent J Schwartz; Bailey Arruda
Journal:  J Vet Diagn Invest       Date:  2021-03-10       Impact factor: 1.279

2.  Deep-learning-based automated terminology mapping in OMOP-CDM.

Authors:  Byungkon Kang; Jisang Yoon; Ha Young Kim; Sung Jin Jo; Yourim Lee; Hye Jin Kam
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

3.  Defining Telehealth for Research, Implementation, and Equity.

Authors:  Joy Roy; Deborah R Levy; Yalini Senathirajah
Journal:  J Med Internet Res       Date:  2022-04-13       Impact factor: 7.076

4.  Research informatics and the COVID-19 pandemic: Challenges, innovations, lessons learned, and recommendations.

Authors:  Richard J Bookman; James J Cimino; Christopher A Harle; Rhonda G Kost; Sean Mooney; Emily Pfaff; Svetlana Rojevsky; Jonathan N Tobin; Adam Wilcox; Nick F Tsinoremas
Journal:  J Clin Transl Sci       Date:  2021-03-16

Review 5.  AI-based language models powering drug discovery and development.

Authors:  Zhichao Liu; Ruth A Roberts; Madhu Lal-Nag; Xi Chen; Ruili Huang; Weida Tong
Journal:  Drug Discov Today       Date:  2021-06-30       Impact factor: 7.851

  5 in total

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