Impact of Workflow Integration of AI-tools in clinical practice on Patient Safety – Challenges and Opportunities seen by Human Factors Experts
Recruiting
- Conditions
- not applicable
- Registration Number
- DRKS00034254
- Lead Sponsor
- Institut für Patientensicherheit, Universitätsklinikum Bonn
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 45
Inclusion Criteria
Belong to one of the following groups:
1.Human factor and system engineering experts working in healthcare or healthcare related fields (Interviews)
2.Professionals in Healthcare with experience or interest in technology adoption (Only questionnaire)
Have previous experience or an interest in working with AI or clinical decision support systems (CDSS)
Fluent in English, equivalent to Common European Framework of Reference (CEFR) B2 or higher
Exclusion Criteria
Person living or working in China
Never worked with or used AI or CDSS systems
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method (1)Exploration of the potential challenges and opportunities for patient safety arising from the workflow integration of AI in clinical practice.
- Secondary Outcome Measures
Name Time Method (2)Structuring and summarizing the acquired insights. <br>(3)Development of prioritized recommendations for healthcare facilities to implement AI tools in routine care to enhance patient safety. <br>(4)Derivation of further insights and research needs (ideally in the form of a research agenda) for additional relevant issues in this field of action. <br>