Dentistry and Interoperability.

Structured Data Capture (SDC) artificial intelligence big data digital dentistry international standards standardization

Journal

Journal of dental research
ISSN: 1544-0591
Titre abrégé: J Dent Res
Pays: United States
ID NLM: 0354343

Informations de publication

Date de publication:
10 2022
Historique:
pubmed: 12 6 2022
medline: 28 9 2022
entrez: 11 6 2022
Statut: ppublish

Résumé

Information has become the vital commodity of exchange in recent decades. Medicine is no exception; the importance of patient information in the digital form has been recognized by organizations and health care facilities. Almost all patient information, including medical history, radiographs, and feedback, can be digitally recorded synchronously and asynchronously. Nevertheless, patient information that could be shared and reused to enhance care delivery is not readily available in a format that could be understood by the systems in recipient health care facilities. The systems used in medical and dental clinics today lack the ability to communicate with each other. The critical information is stagnant in isolated silos, unable to be shared, analyzed, and reused. In this article, we propose enabling interoperability in health care systems that could facilitate communication across systems for the benefit of patients and caregivers. We explain in this article the importance of interoperable data, the international interoperability standards available, and the range of benefits and opportunities that interoperability can create in dentistry for providers and patients alike.

Identifiants

pubmed: 35689387
doi: 10.1177/00220345221100175
pmc: PMC9516603
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1258-1262

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Auteurs

N M R Rajkumar (NMR)

Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.

M R Muzoora (MR)

Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.

S Thun (S)

Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.

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Classifications MeSH