Artificial Intelligence-augmented Perioperative Clinical Decision Support (KIPeriOP)

Wuerzburg University Hospital

Status: Completed

Conditions: ASA Class III/IV Patients; Surgery; Clinical Decision Support Systems

Treatments: Other: Standard procedures of the hospital and Sham Clinical Decision Support Application; Other: Electronic Clinical Decision Support Application

Study type: Interventional

Funder types: Other

Identifiers

NCT05284227

KIPeriOP 2022

Details and patient eligibility

About

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).

Enrollment: 210 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• ASA (American Society of Anaesthesiologists)-Class III and IV
• non-cardiac surgery

Exclusion criteria

• none

Trial design

Primary purpose: Screening

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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210 participants in 2 patient groups

Clinical Decision Support Application guided Anaesthesiological Assessment

Active Comparator group

Description:

Preoperative anaesthesiological assessment and risk evaluation using a clinical decision support application.

Treatment:

Other: Electronic Clinical Decision Support Application

Standard Anaesthesiological Assessment

Sham Comparator group

Description:

Preoperative anaesthesiological assessment using standard procedures of the hospital and a sham clinical decision support application.

Treatment:

Other: Standard procedures of the hospital and Sham Clinical Decision Support Application