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Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability

Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability

Without applying appropriate semantic standards, such as domain-relevant terminologies, interoperability will be limited. This may diminish the availability and potential value of data. The various parties involved have to address the importance of shared digital health standards and especially semantic interoperability features [12-15].

Sari Palojoki, Lasse Lehtonen, Riikka Vuokko

JMIR Med Inform 2024;12:e53535

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Several studies have examined the content coverage of SNOMED CT in the nursing domain by mapping standardized nursing terminologies, such as the Nursing Intervention Classification, International Classification for Nursing Practice (ICNP), Clinical Care Classification System, North American Nursing Diagnosis Association-International, and Omaha system, into SNOMED CT [14-18]. Thoroddsen et al [19] described the nursing care of patients with COVID-19 using ICNP and SNOMED CT.

Sumi Sung, Youlim Kim, Su Hwan Kim, Hyesil Jung

J Med Internet Res 2024;26:e53343

The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices

The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices

Terminologies are integrated as Code Systems by providing a base URL and the term code. This combines the syntactic interoperability (structure and data format) enabled by standards such as FHIR with the semantic interoperability enabled by health terminologies. The Systematized Nomenclature of Medical Clinical Terms (SNOMED CT) is currently the most appropriate and comprehensive clinical health terminology with natural language properties [14,15].

Julian D Schwab, Silke D Werle, Rolf Hühne, Hannah Spohn, Udo X Kaisers, Hans A Kestler

JMIR Med Inform 2023;11:e49301

Structure of Health Information With Different Information Models: Evaluation Study With Competency Questions

Structure of Health Information With Different Information Models: Evaluation Study With Competency Questions

Information models, terminologies, and ontologies are all developed to structure information about things. In some subject areas, ontologies are in themselves sufficient to structure most information, whereas in health care, information models and terminologies or ontologies are usually used in conjunction. A division between information model and terminology is useful, as it makes the requirements on the terminology less complex.

Anna Rossander, Daniel Karlsson

JMIR Med Inform 2023;11:e46477

A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study

A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study

Therefore, to fully use health care data, mapping terms extracted from phrases written in natural languages or using interface terms in medical records, disease classification codes, and national health insurance claim codes to reference terminologies are required.

Sumi Sung, Hyeoun-Ae Park, Hyesil Jung, Hannah Kang

JMIR Med Inform 2023;11:e46127