Critical Care, Emergency Treatment, Readmission, Triage
Conditions
Keywords
Critical Care, Emergency Treatment, Triage, Readmission
Brief summary
The aims of this study is to integrate real-time data flow infrastructure between hospital information system and AI models and to conduct a cluster randomized crossover trial to evaluate the efficacy of the AI models in improving patient flow and relieving ED crowding.
Interventions
OTHERAI-assisted models providing diagnosis and prognostic information
AI-assisted models providing diagnosis and prognostic information in the ED, including triage, ICD coding, chest x ray alerts, critical event alerts, readmission prediction, and post-cardiac arrest prognostication.
PROCEDURECritical treatment
Critical treatment of the emergency room
Sponsors
National Taiwan University Hospital
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* ED patients aged 20 years or older * Patients were treated by the recruited 16 ED attendings.
Exclusion criteria
* Patients aged less than 20 years. * Patients were not treated by the recruited 16 ED attendings.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| ED length of stay | From ED arrival to 3 days after ED discharge. For hospitalized patients with cardiac arrest, the outcome ascertainment continues until hospital discharge. |
Countries
Taiwan
Outcome results
None listed