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| Name | Class |
|---|---|
| Research Foundation Flanders | OTHER |
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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Subgroup analysis: gender |
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Inclusion Criteria:
Exclusion Criteria:
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Medical specialists or specialists in training working in intensive care at the time of the study.
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| Name | Affiliation | Role |
|---|---|---|
| Jan De Waele, MD, PhD | University Ghent | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| OLV Aalst | Aalst | Belgium | ||||
| ZNA Ziekenhuizen |
If possible and feasible, anonymised survey data as well as transcript data from the group discussions will be made available on request.
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Jun 24, 2025 | |
| Reset | Jul 9, 2025 |
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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 |
| 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 |
| 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 |
| Antwerp |
| Belgium |
| Ghent University Hospital | Ghent | Belgium |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Jun 24, 2025 | Jul 9, 2025 |
| ID | Term |
|---|---|
| D011795 | Surveys and Questionnaires |
| ID | Term |
|---|---|
| D003625 | Data Collection |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |
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