Machine Learning Models for Predicting Unforeseen Hospital Admissions or Discharges After Anesthesia

Completed

• Conditions: Anesthesia Complication; Surgery-Complications; Pain, Postoperative
• Interventions: Other: Mathematical Prediction of unforseen patient reorientation

• Registration Number: NCT06582407
• Lead Sponsor: HUmani

Brief Summary

Unexpected hospital admissions after ambulatory surgery not only bring discomfort to patients but also causes a decrease in the efficiency of the healthcare system. In addition, unanticipated patient's orientation carry the risk of unsuitable post operative orders. The hypothesis of this project is that artificial intelligence models will outperform traditional models in predicting which patients will require hospital admission after ambulatory surgery or unforeseen hospital discharge after surgery.

Detailed Description

Not available

Study Timeline

• Study Start: 2020-01-01
• Primary Completion: 2024-06-30
• Study Completion: 2024-07-30
• Study First Submitted: 2024-08-30
• Study First Submitted QC: 2024-08-30
• Study First Posted: 2024-09-03
• Status Verified: 2024-10
• Last Update Submitted: 2024-10-16
• Last Update Posted: 2024-10-18

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 68683

Inclusion Criteria

• Patient undergoing anesthesia for a therapeutic or diagnostic procedure

Exclusion Criteria

• Incomplete informatic data
• Error in the encoding system

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Ambulatory Patients	Mathematical Prediction of unforseen patient reorientation	Patient undergoing anesthesia in an ambulatory setting.
Hospitalised Patients	Mathematical Prediction of unforseen patient reorientation	Patient undergoing anesthesia in a hospitalisation setting.

Primary Outcome Measures

Name	Time	Method
Rate of patient reorientation	On the day of the operation	Rate of unforeseen hospital admission after an ambulatory surgery and rate of discharge after an hospitalised surgery

Trial Locations

Locations (1)

Université de Mons; 🇧🇪 Mons, Belgium