Development of smart emergency care algorithms by explainable AI
Not Applicable
Recruiting
- Conditions
- Emergency Cases
- Registration Number
- DRKS00031150
- Lead Sponsor
- niversitätsmedizin Göttingen
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 2000
Inclusion Criteria
Emergency Case (one of the 20 most frequent emergency diagnoses)
- capable of informed consent
Exclusion Criteria
- Age < 18 LJ
- incapable of informed consent
- vulnerable risk groups (e.g. pregnancy, psychiatric diseases, dementia)
Study & Design
- Study Type
- interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Improvement of diagnostic accuracy and diagnostic efficiency by > 10% with using the clinical decision support system (CDSS) ENSURE
- Secondary Outcome Measures
Name Time Method - Improvement of defined process and quality indicators in emergency care<br>- Evaluation of usability, utiliy and acceptance of the CDSS ENSURE