Realtime Streaming Clinical Use Engine for Medical Escalation

NACompletedINTERVENTIONAL
Enrollment

2,780

Participants

Timeline

Start Date

June 18, 2019

Primary Completion Date

March 19, 2020

Study Completion Date

March 19, 2020

Conditions
Clinical DeteriorationHospital MedicineMonitoring, Physiologic
Interventions
OTHER

MEWS++ Monitoring

Patient's electronic medical record data will undergo processing by a machine learning algorithm (MEWS++).

OTHER

Predictor Score

A score predicting the likelihood that the patient will experience a deterioration in their clinical condition within six hours will be generated. If the prediction score exceeds a predetermined threshold, an alert will be sent to the provider. The alerting protocol is tiered, with both a low and high threshold. If the score is above the low threshold, nursing will be notified. If the score is above the high threshold, RRT will be notified.

Trial Locations (1)

10029

Mount Sinai Hospital, New York

All Listed Sponsors
lead

Icahn School of Medicine at Mount Sinai

OTHER

NCT04026555 - Realtime Streaming Clinical Use Engine for Medical Escalation | Biotech Hunter | Biotech Hunter