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OpenTrials
Completed

NCT Number: NCT05185479

Analysis of Adverse Events in Anesthesia Using Artificial Intelligence

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

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Key information

Conditions

Allergic Reaction Hypersensitivity Immune System Diseases

Age range

1 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Service d'Anesthésie et Réanimation chirurgicale - CHU de Strasbourg - France

Strasbourg, 67091, France

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. Development of a natural language processing approach to establish a classification of adverse events observed during the perioperative period and to facilitate their analysis.

    Time frame: Files analysed retrospectively from January 01, 2009 to June 30, 2020 will be examined]

    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

Sponsors and collaborators

Lead sponsor

University Hospital, Strasbourg, France

Other

Registry information

Acronym: ADVENTURE

Important dates

Study start
2020
Primary completion
2021
Study completion
2021
First posted
Jan 11, 2022
Registry last updated
Dec 12, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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