Skip to content

Deep Learning Based Early Warning Score in Rapid Response Team Activation

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

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04951973
Enrollment
50000
Registered
2021-07-07
Start date
2021-08-01
Completion date
2022-04-30
Last updated
2021-07-07

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

Conditions

Hospital Medical Emergency Team, Hospital Rapid Response Team

Keywords

deep learning based early warning score, rapid response team, in-hospital cardiac arrest

Brief summary

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

Detailed 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).

Interventions

DIAGNOSTIC_TESTDeep Learning Based Early Warning Score (DEWS)

DEWS use 4 vital signs (systolic blood pressure, HR, respiratory rate, and body temperature) to predict in-hospital cardiac arrest. Deep-learning approach facilitates learning the relationship between the vital signs and cardiac arrest to achieve the high sensitivity and low false-alarm rate of the track-and-trigger system (TTS).

Sponsors

Korea Health Industry Development Institute
CollaboratorOTHER_GOV
VUNO Inc.
CollaboratorINDUSTRY
Inha University Hospital
CollaboratorOTHER
Mediplex Sejong Hospital, Incheon
CollaboratorUNKNOWN
Sejong General Hospital
CollaboratorOTHER
Dong-A University
CollaboratorOTHER
Seoul National University Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

Inclusion criteria

* Patients admitted to general ward and monitored by in-hospital rapid response system

Exclusion criteria

* patients admitted to pediatric ward * patients in emergency room, intensive care unit, and operating room

Design outcomes

Primary

MeasureTime frameDescription
In-hospital cardiac arrest3 monthCompare the predictability of in-hospital cardiac arrest between DEWS and SPTTS.

Secondary

MeasureTime frameDescription
Alarm coincidence3 monthEvaluate the alarm coincidence between DEWS and SPTTS.
Total alarm count.3 monthCompare the total alarm count between DEWS and SPTTS.

Contacts

Primary ContactYeon Joo Lee, MD
yjlee1117@snubh.org82-31-787-7082

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 10, 2026