Development and Effectiveness of a Machine Learning-based Clinical Decision Support System for the Management of Post-embolization Syndrome after Transarterial Chemoembolizatio
Not Applicable
Completed
- Conditions
- Not Applicable
- Registration Number
- KCT0008888
- Lead Sponsor
- Pukyung National University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 43
Inclusion Criteria
A nurse who is currently working in a ward with TACE patients and has experience of nursing patients before and after the procedure for more than 3 months
- Those who provide direct care to patients
- A person who understands the purpose and method of this study and agrees to participate in the study
Exclusion Criteria
Those who do not provide direct nursing care for more than 2 weeks
Study & Design
- Study Type
- Interventional Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method system aspect (nurse change) ;nurse outcome aspect (comfort care);patient outcome aspect (patient comfort)
- Secondary Outcome Measures
Name Time Method POEM CDSS system(accuracy, acceptance, utilization)