Semantic interoperation and electronic health records: context sensitive mapping from SNOMED CT to ICD-10.
An important case for successful deployment of a lifetime electronic health record is reuse of clinical data from the electronic health record (EHR) for epidemiology, reimbursement, and research. We report a collaboration between the IHTSDO and the WHO to develop knowledge-based tools supporting translation of data from SNOMED CT to the ICD-10 classification. These tools have been vetted by an international community and are available for system vendors to enhance the interoperability of their products. The maps we created are also informing the development of the next generation of classifications which will employ a common ontology base between SNOMED CT and ICD-11 to promote interoperability.
University of Nebraska Medical Center, Omaha NE USA.
James R
JR
Campbell
Hazel
H
Brear
Rita
R
Scichilone
Susan
S
White
Kathy
K
Giannangelo
Brian
B
Carlsen
Harold
H
Solbrig
Kin Wah
KW
Fung
D001185:Artificial Intelligence; D057286:Electronic Health Records; D038801:International Classification of Diseases / Q000145:classification*; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods; D012660:Semantics; D039061:Systematized Nomenclature of Medicine; D009626:Terminology as Topic; D014175:Translating