Deep Learning Based Early Warning Score in Rapid Response Team Activation

Hospital Rapid Response Team Clinical Trial

Official title: Comparison of Deep Learning Based Early Warning Score and Conventional Screening System in Rapid Response Team Activation in General Ward Patients

Status Not yet recruiting

Clinical Trial Summary

The objective of this study is to evaluate the safety and clinical usefulness of the Deep learning based Early Warning Score (DEWS).

Clinical Trial Description

SPTTS is the representative trigger tracking system. In addition to the conventional SPTTS, DEWS will be calculated at each time point by the previously developed algorithm. SPTTS and DEWS will be shown simulataneously on the screening board. The rapid response team performs the rescue activity as before, using both SPTTS and DEWS simultaneously.

The alarm threshold setting of DEWS will be changed to 70 points, 75 points, and 80 points every month.

The primary and secondary outcomes will be evaluated to compare SPTTS and DEWS (based on each threshold). ;

Related Conditions & MeSH terms

• Emergencies
• Hospital Medical Emergency Team
• Hospital Rapid Response Team

• NCT number: NCT04951973
• Study type: Observational [Patient Registry]
• Source: Seoul National University Hospital
• Contact: Yeon Joo Lee, MD
• Phone: 82-31-787-7082
• Email: yjlee1117@snubh.org
• Status: Not yet recruiting
• Start date: August 1, 2021
• Completion date: April 30, 2022