Data integration and systems interoperability: the prerequisite for artificial intelligence in anesthesiology
The effective deployment of artificial intelligence in anesthesiology depends on the development of interoperable, high-quality data infrastructures. Establishing standardized data models, semantic harmonization, temporal alignment, and robust data governance is a prerequisite for scalable, trustworthy artificial intelligence-enabled perioperative care.
Authors
- B. Popoff
- Olivier Duranteau
Institutions
- Sunnybrook Health Science Centre (CA)
- Erasmus Hospital (BE)
- Centre Hospitalier Universitaire de Rouen (FR)
- Université de Rouen Normandie (FR)
Publication Details
- Journal
- Current Opinion in Anaesthesiology
- Published
- 2026-02-11
- DOI
- https://doi.org/10.1097/aco.0000000000001625
- Primary Topic
- Healthcare Technology and Patient Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00