What is SNOMED CT® and Why Should the ISSHP Care?
Kiran Angelina Massey, J. Mark Ansermino, Peter von Dadelszen, Tara J. Morris, Robert M. Liston, Laura Ann Magee
Abstract
Kiran Angelina Massey, J. Mark Ansermino, Peter von Dadelszen, Tara J. Morris, Robert M. Liston, Laura Ann Magee
Abstract
SNOMED CT (Systematized NOmenclature of MEDicine Clinical Terms) is a standardized multilingual healthcare terminology. It was developed to meet the needs of our electronic world so that care can be documented and clinicians can retrieve and transmit data in electronic format. It is anticipated that SNOMED CT will provide the core general terminology for electronic health records and, as such, replace existing classification systems such as the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). At present, there is no special interest group for the hypertensive disorders of pregnancy (HDP) within the SNOMED CT initiative. We believe that members of the ISSHP, and others interested in the HDP, should take a leadership role in this regard for a number of reasons.
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SNOMED CT (Systematized NOmenclature of MEDicine Clinical Terms) is a standardized multilingual healthcare terminology. It was developed to meet the needs of our electronic world so that care can be documented and clinicians can retrieve and transmit data in electronic format. It is anticipated that SNOMED CT will provide the core general terminology for electronic health records and, as such, replace existing classification systems such as the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). At present, there is no special interest group for the hypertensive disorders of pregnancy (HDP) within the SNOMED CT initiative. We believe that members of the ISSHP, and others interested in the HDP, should take a leadership role in this regard for a number of reasons.
Key concepts: SNOMED CT, Terminology, Systematized Nomenclature of Medicine, Medicine, Health care, Electronic health record, Medical physics, Data science