Impact of Machine Learning-based Clinician Decision Support Algorithms in Perioperative Care (IMAGINATIVE)
Impact of Machine Learning-based Clinician Decision Support Algorithms in Perioperative Care - A Randomized Control Trial (IMAGINATIVE Trial)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Hairil Rizal Abdullah, MBBS
- Phone Number: 63265428
- Email: hairil.rizal.abdullah@singhealth.com.sg
Study Locations
-
-
-
Singapore, Singapore
- Singapore General Hospital
-
Sub-Investigator:
- Ecosse Lamoureux, PHD
-
Contact:
- Hairil Rizal Abdullah, MMED
- Email: hairil.rizal.abdullah@singhealth.com.sg
-
Principal Investigator:
- Hairil Rizal Abdullah, MMED
-
Sub-Investigator:
- Elaine Lum, PHD
-
Sub-Investigator:
- Nan Liu, PHD
-
Sub-Investigator:
- Mengling Feng, PHD
-
Sub-Investigator:
- Jacqueline Sim Xiu Ling, MBBS
-
Sub-Investigator:
- Brian Goh Kim Poh, MBBS
-
Sub-Investigator:
- Gek Hsiang Lim, MSC
-
Sub-Investigator:
- Marcus Ong Eng Hock, MPH
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients >=21 Years old
- Patients going for elective surgery
For semi-structured interview:
1. Any clinician or nurse that used CARES during the research trial
Exclusion Criteria:
- Patients with reduced mental capacity
- Patients who are unable to give consent
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: CARES-guided Group
The Intervention
|
Participants randomised to the CARES-guided arm will have their CARES-score calculated and entered into the Pre-Anesthesia Assessment electronic form within the Electronic Medical Records (EMR).
This score and its relevant advisories will be prominently displayed on this electronic form.
(Participants on this arm will receive this intervention in addition to the routine practice).
|
|
No Intervention: Non CARES-Guided Group
The control - Participants randomized to the control arm will continue to have their routine Pre-Anesthesia Assessment on the electronic form, without the CARES calculator calculations, as per current practice
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in perioperative mortality rates
Time Frame: Five years
|
To assess the effectiveness of the Machine Learning Clinical Decision Support (ML-CDS).
Hypothesis: The CARES-guided group will have a 30% relative reduction in one-year mortality rate due to the increased clinician awareness of the risks.
|
Five years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in potentially avoidable planned ICU admission after surgery
Time Frame: Five years
|
To assess the effectiveness of the ML-CDS algorithm in optimizing ICU bed utilization, which is an important and costly hospital resource Hypothesis: There will be a 25% relative reduction in the potentially avoidable planned ICU admission after surgery in the CARES-guided group
|
Five years
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Shift in adoption rate of CARES's CDS recommendations among anesthesiologists, intensivists, surgeons and nurses
Time Frame: Five years
|
To assess adoption and acceptability, and to understand user experience and concerns regarding an ML based prediction application designed to improve patient safety in a clinical setting.
Hypothesis: There is high adoption of CARES's CDS recommendations among anesthesiologists, intensivists, surgeons and nurses respectively.
|
Five years
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- IMAGINATIVE Trial
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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