The <scp>AI</scp> and Automation in Anaesthesia (<scp>TRIPLE</scp>‐A) Perioperative Database in Eastern Denmark 2017–: A Platform for Epidemiology, <scp>AI</scp>‐Driven Prediction, Quality Control and Automated Data Retrieval
TRIPLE-A is a continuously updated, granular, high-quality perioperative database. It will be used for (1) high-quality epidemiological research, (2) automated data retrieval into case report forms in cohort studies and randomized trials, (3) monitoring and evaluation of clinical implementation of interventions, and (4) development of perioperative prediction models for risk stratification and individualized treatment.
Authors
- Anders Peder Højer Karlsen (ORCID: https://orcid.org/0000-0002-0338-3751)
- Anders Kehlet Nørskov (ORCID: https://orcid.org/0000-0002-6908-7832)
- Ole Mathiesen (ORCID: https://orcid.org/0000-0003-4544-0619)
- Christian Sylvest Meyhoff (ORCID: https://orcid.org/0000-0002-4885-4609)
- Jonas Valbjørn Andersen (ORCID: https://orcid.org/0000-0002-3366-5573)
- Maria Elizabeth Engel Møller (ORCID: https://orcid.org/0009-0006-9637-1106)
- N Pedersen
- Mathilde Veje
Institutions
- University of Copenhagen (DK)
- Frederiksberg Hospital (DK)
- Copenhagen University Hospital (DK)
- Rigshospitalet (DK)
- Zealand University Hospital (DK)
- IT University of Copenhagen (DK)
Publication Details
- Journal
- Acta Anaesthesiologica Scandinavica
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1111/aas.70116
- Citations
- 7
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 9.72
Funders
- Bispebjerg Hospital