NCT05284227

Artificial Intelligence-augmented Perioperative Clinical Decision Support

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 210 (actual)
• Sponsor: Wuerzburg University Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The study investigates a novel anaesthesiological clinical decision support (CDS) application, that integrates risk evaluation tools and updated clinical guidelines guided by artificial intelligence in the setting of preoperative anaesthesiological assessment. It will be compared to the current standard preoperative assessment workflow with participants being actual patients. 480 participants will be randomly assigned to either the CDS group (preoperative assessment using the CDS application) or the Control group (standard preoperative assessment workflow).

Conditions

• ASA Class III/IV Patients
• Surgery
• Clinical Decision Support Systems

Interventions

Type	Name	Description
OTHER	Electronic Clinical Decision Support Application	Preoperative anaesthesiological assessment and risk evaluation using a clinical decision support application, that calculates perioperative risks for the patient and informs the anaesthesiologist on indicated diagnostics and procedures according to clinical guidelines in real-time.
OTHER	Standard procedures of the hospital and Sham Clinical Decision Support Application	Preoperative anaesthesiological assessment using standard procedures of the hospital. In addition a sham clinical decision support application will be used. Information on perioperative risks and indicated diagnostic procedures according to clinical guidelines is not given to the physician.

Timeline

• Start date: 2023-04-26
• Primary completion: 2023-12-31
• Completion: 2024-01-01
• First posted: 2022-03-17
• Last updated: 2025-07-17

Locations

1 site across 1 country: Germany