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.

ABSTRACT:

Introduction

Electronic health records can be used to create high-quality databases if data are structured and well-registered, which is the case for most perioperative data in the Capital and Zealand Regions of Denmark. We present the purpose and development of the AI and Automation in Anaesthesia (TRIPLE-A) database-a platform designed for epidemiology, prediction, quality control, and automated research data collection.

Methods

Data collection from the electronic medical record (EPIC Systems Corporation, WI, USA) was approved by the Capital Region, Denmark, and ethical approval was waived. The first TRIPLE-A database version included surgical procedures performed in a public hospital in the Capital and Zealand Regions of Denmark from 2017 to 2024 without age restrictions.

SUBMITTER: Karlsen APH 

PROVIDER: S-EPMC12418294 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature