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Artificial Intelligence-augmented Perioperative Clinical Decision Support

Artificial Intelligence-augmented Perioperative Clinical Decision Support

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05284227
Acronym
KIPeriOP
Enrollment
210
Registered
2022-03-17
Start date
2023-04-26
Completion date
2024-01-01
Last updated
2025-07-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

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

Keywords

Anaesthesiology, Clinical Decision Support, Artificial Intelligence, Perioperative Risk Assessment

Brief 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).

Interventions

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.

OTHERStandard 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

Goethe University
CollaboratorOTHER
Charite University, Berlin, Germany
CollaboratorOTHER
Asklepios Kliniken Hamburg GmbH
CollaboratorOTHER
Fraunhofer Institute for Digital Medicine MEVIS
CollaboratorUNKNOWN
Technical University of Munich
CollaboratorOTHER
RWTH Aachen University
CollaboratorOTHER
Wuerzburg University Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

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

Exclusion criteria

* none

Design outcomes

Primary

MeasureTime frameDescription
Number of clinically not indicated preoperative diagnostic procedures ordered by the anaesthesiologistpreoperative assessment until operative procedurePreoperative diagnostic procedures ordered by the anaesthesiologist are defined as ECG, echocardiography, carotid (Duplex) ultrasound, chest X-ray and functional non-invasive tests for coronary artery disease (e.g. stress echocardiography)

Secondary

MeasureTime frameDescription
Number of documented items from a predefined set of relevant cardiovascular symptoms and conditions during the anaesthesiological assessmentpreoperative assessment until operative procedureCompleteness of medical documentation will be measured by the number of documented items from a predefined list of relevant cardiovascular symptoms and conditions during the preoperative anaesthesiological asssessment.
Incidence of intra- and postoperative complicationsoperative procedure until hospital discharge, assessed up to 4 weeks
Incidence of 30-Day unplanned All-cause Hospital Readmissionhospital discharge until 30th postoperative day
Length of Hospital Stayhospital admission until hospital discharge, assessed up to 4 weeks

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026