This paper is in the following e-collection/theme issue:

Ontologies, Classifications, and Coding (307) Reviews in Medical Informatics (106) Standards and Interoperability (120) Secondary Use of Clinical Data for Research and Surveillance (450) Electronic Health Records (1268)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43750, first published .
Systematized Nomenclature of Medicine–Clinical Terminology (SNOMED CT) Clinical Use Cases in the Context of Electronic Health Record Systems: Systematic Literature Review

Systematized Nomenclature of Medicine–Clinical Terminology (SNOMED CT) Clinical Use Cases in the Context of Electronic Health Record Systems: Systematic Literature Review

Systematized Nomenclature of Medicine–Clinical Terminology (SNOMED CT) Clinical Use Cases in the Context of Electronic Health Record Systems: Systematic Literature Review

Authors of this article:

Riikka Vuokko1 Author Orcid Image ;   Anne Vakkuri2 Author Orcid Image ;   Sari Palojoki3 Author Orcid Image
Article Authors Cited by (21) Tweetations (6) Metrics

Journals

  1. Kopylova O, Ershova A, Borisova A, Metelskaya V, Drapkina O. Specifics of creating clinical abstract of biospecimens. Cardiovascular Therapy and Prevention 2023;22(11):3855 View
  2. Santangelo B, Apgar M, Colorado A, Martin C, Sterrett J, Wall E, Joachimiak M, Hunter L, Lozupone C. Integrating biological knowledge for mechanistic inference in the host-associated microbiome. Frontiers in Microbiology 2024;15 View
  3. Matthewman J, Andresen K, Suffel A, Lin L, Schultze A, Tazare J, Bhaskaran K, Williamson E, Costello R, Quint J, Strongman H. Checklist and guidance on creating codelists for electronic health records research. NIHR Open Research 2024;4:20 View
  4. Palojoki S, Lehtonen L, Vuokko R. Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability. JMIR Medical Informatics 2024;12:e53535 View
  5. Zhao Y, Bollegala D, Hirose S, Jin Y, Kozu T. Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph. Journal of Biomedical Informatics 2024;158:104725 View
  6. Matthewman J, Andresen K, Suffel A, Lin L, Schultze A, Tazare J, Bhaskaran K, Williamson E, Costello R, Quint J, Strongman H. Checklist and guidance on creating codelists for routinely collected health data research. NIHR Open Research 2024;4:20 View
  7. Lin Y. Early Detection of Basal Cell Carcinoma of Skin From Medical History. Quality Management in Health Care 2025;34(2):164 View
  8. Mustafa A, Naseem U, Rahimi Azghadi M. Large language models vs human for classifying clinical documents. International Journal of Medical Informatics 2025;195:105800 View
  9. Grillo L, Easton I, Schreuder F, Lewis A, Bloom C, Hopkinson N, Shannon H, Russell A. Physiotherapy assessment of breathlessness and disordered patterns of breathing: Defining a consensus on terminology and assessment. Chronic Respiratory Disease 2025;22 View
  10. Xu T, Li Y, Gao X, Rzhetsky A, Jia G. An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations. Quantitative Biology 2025;13(3) View
  11. Chew M, Yu C, Stojevski L, Conilione P, Gust A, Suleiman M, Swansson W, Anderson B, Garg M, Lewis D. A Novel Natural Language Processing Tool Improves Colonoscopy Auditing of Adenoma and Serrated Polyp Detection Rates. Journal of Gastroenterology and Hepatology 2025;40(5):1230 View
  12. Msheik B, Adda M, Mcheick H, Nasser Y, Dbouk M. Developing Contextual Ontology for Chronic Diseases: AI-Enhanced Extension and Prediction in an Asthma Case Study. Applied Sciences 2025;15(8):4353 View
  13. Berkowitz J, Srinivasan A, Acitores Cortina J, Fatapour Y, Tatonetti N. Biomedical text normalization through generative modeling. Journal of Biomedical Informatics 2025;167:104850 View
  14. Shahid A, Kim J, Byon S, Hong S, Lee I, Lee B. An end-to-end pipeline for automated scoliosis diagnosis with standardized clinical reporting using SNOMED CT. Scientific Reports 2025;15(1) View
  15. McInnis M, Coleman B, Hurwitz E, Robinson P, Williams A, Haendel M, McMurry J. Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics. Biological Psychiatry 2025;98(4):293 View
  16. Anderson P, Zhou H, Patton V, Taplin J. Evaluating pressure injury and time of risk assessment for adults with hip fractures: A retrospective analysis. International Journal of Orthopaedic and Trauma Nursing 2025;58:101195 View
  17. Reddy N, Rice C, Carvalho S, Davidson J, Glenister E, Sibley C, Smith A, Noori W. Estimating complications and mortality in patients with post-surgical chronic hypoparathyroidism in England: A retrospective matched cohort study. Endocrine and Metabolic Science 2025;19:100258 View
  18. Rodrigues G, Serrano A, Bispo G, Filho G, Gonçalves V, Meneguette R. IHRAS: Automated Medical Report Generation from Chest X-Rays via Classification, Segmentation, and LLMs. Bioengineering 2025;12(8):795 View
  19. Sitthiprawiat P, Wittayachamnankul B, Sirikul W, Laohavisudhi K. Development and internal validation of an AI-based emergency triage model for predicting critical outcomes in emergency department. Scientific Reports 2025;15(1) View

Books/Policy Documents

  1. Gramatiuk S, Sargsyan K. Digitalization of Medicine in Low- and Middle-Income Countries. View
  2. Lax G. Frontiers of Computer Science and Information Technology. View