Qualitative Research Among Physicians and Junior Doctors Into the Preconditions for Implementing a CDSS Based on AI in the ICU

Artificial Intelligence Clinical Trial

— KATRINA  

Official title:

Qualitative Research Among Physicians and Junior Doctors Into the Preconditions for Implementing a Clinical Decision Support System (CDSS) Based on Artificial Intelligence (AI) in the ICU

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05303025
• Other study ID #: BC-9892
• Status: Completed
• Start date: April 13, 2022
• Est. completion date: October 31, 2022

Study information

• Verified date: October 2022
• Source: University Ghent
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The goal of this study is to explore the different attitudes and preconditions of potential end-users (doctors & physicians in training) required to achieve successful clinical implementation of models based on artificial intelligence (i.e. both machine learning and knowledge-driven techniques) as clinical decision support software.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 69
• Est. completion date: October 31, 2022
• Est. primary completion date: October 31, 2022
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Medical specialist or specialist in training working in intensive care at the time of the study.

Exclusion Criteria:

• Age < 18 yo

Related Conditions & MeSH terms

• Artificial Intelligence
• Decision Support Systems, Clinical
• Qualitative Research

Intervention

Other:
• Survey
Survey to acquire baseline demographic information as well as information regarding professional experience, working environment and attitudes towards artificial intelligence.
• Semi-structured group discussion
Semi-structured group discussion.

Locations

Country	Name	City	State
Belgium	OLV Aalst	Aalst
Belgium	ZNA Ziekenhuizen	Antwerpen
Belgium	Ghent University Hospital	Ghent

Sponsors (2)

Lead Sponsor	Collaborator
University Ghent	Research Foundation Flanders

Country where clinical trial is conducted

Belgium, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Baseline attitudes towards artificial intelligence and big data in medicine	Baseline attitudes towards artificial intelligence and big data in medicine will be collected through an online survey where participants will score their agreement with certain statements on a 6-point likert scale (Possible choices: Strongly agree - Agree - Neutral - Disagree - Totally Disagree - Not applicable).	baseline
Primary	Identify subdomains of the antimicrobial stewardship cycle with potential for AI/Big data application	Identify subdomains of the antimicrobial stewardship cycle for which participants think AI/Big data might be of use through a group discussion/interview. Reporting: frequencies.	through study completion, an average of 1 year
Primary	Identify perceived potential benefits and harms when applying AI in the antimicrobial stewardship cycle.	Identify perceived potential benefits and harms when applying AI in the antimicrobial stewardship cycle through a group discussion. Reporting: frequencies.	through study completion, an average of 1 year
Primary	Identify prerequisites that need to be fulfilled when AI/Big data based clinical decision support systems are used bedside from the viewpoint of the participants.	Identify prerequisites that need to be fulfilled when AI/Big data based clinical decision support systems are used bedside and identify the most important ones for different aspects of the antimicrobial stewardship cycle from the viewpoint of the participants through a group discussion. Reporting: frequencies.	through study completion, an average of 1 year
Secondary	Subgroup analysis: age	Explore if there are variations in the above mentioned outcomes when taking into account the age (years) of the participants.	through study completion, an average of 1 year
Secondary	Subgroup analysis: gender	Explore if there are variations in the above mentioned outcomes when taking into account the gender of the participants.	through study completion, an average of 1 year
Secondary	Subgroup analysis: working environment (type of hospital, type of ICU)	Explore if there are variations in the above mentioned outcomes when taking into account the working environment (University hospital vs non University hospital, small size hospital vs large size hospital, type of ICU (medical, surgery, mixed ICU, intermediate care)) - data which is collected in the baseline questionnaire) of the participants.	through study completion, an average of 1 year
Secondary	Subgroup analysis: working experience (basic training and clinical experience).	Explore if there are variations in the above mentioned outcomes when taking into account the working experience (type of basic training (anesthesiology, internal medicine, surgery, other), clinical experience (years) - data which is collected in the baseline questionnaire) of the participants.	through study completion, an average of 1 year