Assessing the accuracy, patient acceptance, and diagnostic quality of Ada AI in the emergency department
- Conditions
- o Focus on a general condition
- Registration Number
- DRKS00024909
- Lead Sponsor
- niversitätsklinikum Gießen und Marburg, Standort Marburg
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 400
Inclusion Criteria
at least 18 years old
- able to use the app
- MTS category 3 to 5
- arrived at the emergency department independently (without an ambulance)
Exclusion Criteria
- Aged under 18 years
- Psychological limitations that prevent an understanding of the questionnaire, the study
or consent
- Physical limitations that do not allow the use of and response to the chatbot Ada
(e.g. blindness, missing/restricted finger motor function).
- Medically urgent indication for treatment, Manchester Triage Orange/Red.
- Refusal to participate in the study
- Lack of capacity to consent
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 1. safety and accuracy of triaging through the Ada App<br><br>
- Secondary Outcome Measures
Name Time Method 1. analysis of criteria indicating the usability and patient acceptance of Ada (questionnaire)<br>2. analysis of criteria which indicate the benefit for the physician (questionnaire)<br>3. correspondence of the given diagnostic suggestions of the Ada chatbot with the admission or discharge diagnosis of the physician