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

NCT05303025 | Completed

• 1 other identifier: BC-9892
• Study Type: observational
• Target: 69
• Locations: 1 country
• Sites: 3

Brief 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.

Conditions

Artificial Intelligence; Qualitative Research; Decision Support Systems, Clinical

Outcome Measures

Primary Outcomes (4)

• 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

• 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

• 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

• 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 Outcomes (4)

• Subgroup analysis: age

  through study completion, an average of 1 year

• Subgroup analysis: gender

  through study completion, an average of 1 year

• Subgroup analysis: working environment (type of hospital, type of ICU)

  through study completion, an average of 1 year

• Subgroup analysis: working experience (basic training and clinical experience).

  through study completion, an average of 1 year

Interventions

Survey OTHER

Survey to acquire baseline demographic information as well as information regarding professional experience, working environment and attitudes towards artificial intelligence.

Semi-structured group discussion OTHER

Semi-structured group discussion.

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

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

You may qualify if:

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

You may not qualify if:

• Age \< 18 yo

Sponsors & Collaborators

• University Ghent: lead
• Research Foundation Flanders: collaborator

Study Sites (3)

OLV Aalst

Aalst, Belgium

Location

ZNA Ziekenhuizen

Antwerp, Belgium

Location

Ghent University Hospital

Ghent, Belgium

Location

MeSH Terms

Interventions

Surveys and Questionnaires

Intervention Hierarchy (Ancestors)

Data Collection; Epidemiologic Methods; Investigative Techniques; Health Care Evaluation Mechanisms; Quality of Health Care; Health Care Quality, Access, and Evaluation; Public Health; Environment and Public Health

Study Officials

• Jan De Waele, MD, PhD

  University Ghent

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 22, 2022
• First Posted: March 31, 2022
• Study Start: April 13, 2022
• Primary Completion: October 31, 2022
• Study Completion: October 31, 2022
• Last Updated: March 22, 2023

Record last verified: 2022-10

Locations

BE (3)