Re-engineering the clinical approach to suspected cardiac chest pain assessment in the emergency department by expediting research evidence to practice using artificial intelligence. (RAPIDx artificial intelligence (AI))—a cluster randomized study design
Study context
- Population
- Patients presenting to EDs with suspected cardiac chest painplanned enrolment across 12 hospitals
- Participants
- 20,000 patients
- Planned comparison
- Clinical decision-support tool vs current standard of care
- Primary endpoint
- Composite of:
- Cardiovascular mortality
- New or recurrent MI and unplanned hospital re-admission
- Follow-up
- 12 months post index presentation
Methodological details12 hospitals, study design (protocol); no results reported
- 12 hospitals
- Study design (protocol); no results reported
No results yet. This paper sets out the design of a trial; its results are to come.
Original publication
Re-engineering the clinical approach to suspected cardiac chest pain assessment in the emergency department by expediting research evidence to practice using artificial intelligence. (RAPIDx AI)—a cluster randomized study design. Am Heart J. Published 22 February 2025. doi:10.
Summarised from the published abstract; every number is checked against it