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De-escalating Vital Sign Checks

NCT04046458 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1436

Last updated 2019-12-04

No results posted yet for this study

Summary

The overall goals for this study are: 1) to develop a predictive model to identify patients who are stable enough to forego vital sign checks overnight, 2) incorporate this predictive model into the hospital electronic health record so physicians can view its output and use it to guide their decision-making around ordering reduced vital sign checks for select patients.

Conditions

  • Delirium
  • Sleep Disturbance

Interventions

BEHAVIORAL

Nighttime Vital Sign EHR Alert

A pop-up window in the EHR will notify a physician that their patient has been judged by a predictive algorithm to be safe for reduced overnight vital sign checks.

OTHER

No EHR alert

No change to EHR function; no alert visible to providers

Sponsors & Collaborators

Principal Investigators

  • Mark Pletcher, MD · Director of the UCSF Informatics and Research Innovation Program

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-03-11
Primary Completion
2019-11-04
Completion
2019-11-04

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04046458 on ClinicalTrials.gov