Perioperative medicine & outcomes
The AI and Automation in Anaesthesia ( TRIPLE ‐A) Perioperative Database in Eastern Denmark 2017–: A Platform for Epidemiology, AI ‐Driven Prediction, Quality Control and Automated Data Retrieval
Authors' conclusion
TRIPLE-A is a continuously updated, granular, high-quality perioperative database.
Study context
- Population
- Surgical procedures in public hospitals in the Capital and Zealand Regions of Denmark, 2017–2024, no age restrictions
- Participants
- 675,790 procedures · 1,142,108 surgeries
- Outcome
- Database content
Methodological detailscohort profile, registry-based, EHR-derived, continuously updated, Structured, timestamped raw data from EHR (EPIC); variables coded and enriched from multiple data sources; updates every 6 months, approved to December 2030
- Cohort profile
- Registry-based
- EHR-derived
- Continuously updated
- Structured, timestamped raw data from EHR (EPIC); variables coded and enriched from multiple data sources; updates every 6 months, approved to December 2030
Main finding
As reported in the abstract
- Surgeries
- 1,142,108
- Patients
- 675,790
- Summary tables
- 17
- Variables
- 1617
- Research projects currently supplied
- 34
Observational data: associations, not effects.
Original publication
The AI and Automation in Anaesthesia ( TRIPLE ‐A) Perioperative Database in Eastern Denmark 2017–: A Platform for Epidemiology, AI ‐Driven Prediction, Quality Control and Automated Data Retrieval. Acta Anaesthesiol Scand. Published 9 September 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →