Analysis of Adverse Events in Anesthesia Using Artificial Intelligence (ADVENTURE)

University Hospital, Strasbourg, France

Status: Completed

Conditions: Allergic Reaction

Study type: Observational

Funder types: Other

Identifiers

NCT05185479

8505

Details and patient eligibility

About

The interest of health databases in anesthesia is no longer to be demonstrated. The aim of this research was to develop a natural language processing approach to establish a classification of adverse events observed during the perioperative period and to facilitate their analysis:

The main objective of the study was to identify what a "naïve" unsupervised model would discover based on Adverse Event (AE) descriptions. Our second goal was to identify apparently unrelated events whose combination could favor the occurrence of an AE

Enrollment: 9,559 patients

Sex: All

Ages: 1+ year old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Minors and adults having had an allergic reaction associated with care
• Having had an adverse event reported by an anesthetist between January 01, 2009 and June 30, 2020

Exclusion criteria

• Patient not meeting the inclusion criteria