Verification of clinical efficacy of artificial intelligence based prediction of cardiac arrest in general ward admitted patients : Non-randomized single-blinded interventional study

Status

Active, not recruiting

Phases

Phase 4

Study type

Interventional

Source

CRIS

Registry ID

KCT0009926

Enrollment

35631

Registered

2024-11-15

Start date

2023-01-01

Completion date

Unknown

Last updated

2024-12-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Medical Device : The study target cohort is defined as patients with a VUNO Med-DeepCARS™ alarm at least once during their hospitalization in the general ward, i.e., patients with a high probability o

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) Patients 18 years of age or older admitted to general ward for more than 24 hours

Exclusion criteria

Exclusion criteria: 1) Pediatric patients under 18 years of age 2) Patient no systolic blood pressure, diastolic blood pressure, heart rate, or respiratory rate records 3) DNR

Design outcomes

Primary

Measure	Time frame
General Ward IHCA incidence rate (Intervention vs Control)	—

Secondary

Measure	Time frame
In hospital mortality (Intervention vs Control);ICU stay (Intervention vs Control);Hospital stay (Intervention vs Control);ICU transfer time after DeepCARS elevation (Intervention vs Control);Cerebral Performance Categories Scale (CPC Scale)	—

Countries

Korea, Republic of

Contacts

Public ContactJung Soo Kim

Inha University Hospital

jungsookim@inha.ac.kr+82-32-890-2114

Outcome results