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

LOINC PRO PROM SNOMED CT data exchange data linkage eHealth interoperability patient reported patient-reported outcome questionnaires requirement for standards semantic semantic terminology standard standards terminologies terminology

Journal

JMIR medical informatics
ISSN: 2291-9694
Titre abrégé: JMIR Med Inform
Pays: Canada
ID NLM: 101645109

Informations de publication

Date de publication:
22 Dec 2023
Historique:
received: 24 05 2023
accepted: 12 11 2023
revised: 27 09 2023
medline: 22 12 2023
pubmed: 22 12 2023
entrez: 22 12 2023
Statut: epublish

Résumé

Personalized health care can be optimized by including patient-reported outcomes. Standardized and disease-specific questionnaires have been developed and are routinely used. These patient-reported outcome questionnaires can be simple paper forms given to the patient to fill out with a pen or embedded in digital devices. Regardless of the format used, they provide a snapshot of the patient's feelings and indicate when therapies need to be adjusted. The advantage of digitizing these questionnaires is that they can be automatically analyzed, and patients can be monitored independently of doctor visits. Although the questions of most clinical patient-reported outcome questionnaires follow defined standards and are evaluated by clinical trials, these standards do not exist for data processing. Interoperable data formats and structures would benefit multilingual and cross-study data exchange. Linking questionnaires to standardized terminologies such as the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and Logical Observation Identifiers, Names, and Codes (LOINC) would improve this interoperability. However, linking clinically validated patient-reported outcome questionnaires to clinical terms available in SNOMED CT or LOINC is not as straightforward as it sounds. Here, we report our approach to link patient-reported outcomes from health applications to SNOMED CT or LOINC codes. We highlight current difficulties in this process and outline ways to minimize them.

Identifiants

pubmed: 38133917
pii: v11i1e49301
doi: 10.2196/49301
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e49301

Informations de copyright

©Julian D Schwab, Silke D Werle, Rolf Hühne, Hannah Spohn, Udo X Kaisers, Hans A Kestler. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.12.2023.

Auteurs

Silke D Werle (SD)

Ulm University, Ulm, Germany.

Rolf Hühne (R)

Ulm University, Ulm, Germany.

Hannah Spohn (H)

Ulm University, Ulm, Germany.

Udo X Kaisers (UX)

University Hospital Ulm, Ulm, Germany.

Classifications MeSH