Artificial Intelligence-augmented Perioperative Clinical Decision Support

NCT05284227 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 210

Last updated 2025-07-17

No results posted yet for this study

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

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.

Sponsors & Collaborators

  • Goethe University

    collaborator OTHER
  • Charite University, Berlin, Germany

    collaborator OTHER
  • Asklepios Kliniken Hamburg GmbH

    collaborator OTHER
  • Fraunhofer Institute for Digital Medicine MEVIS

    collaborator UNKNOWN
  • Technical University of Munich

    collaborator OTHER
  • RWTH Aachen University

    collaborator OTHER
  • Wuerzburg University Hospital

    lead OTHER

Principal Investigators

  • Patrick Meybohm, M.D. · Wuerzburg University Hospital

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-04-26
Primary Completion
2023-12-31
Completion
2024-01-01

Countries

  • Germany

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05284227 on ClinicalTrials.gov