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Predictive Analytics and Computer Visualization Enhances Patient Safety to Prevent Falls

NCT06339125 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 5350

Last updated 2026-05-04

No results posted yet for this study

Summary

Annually, in the United States there are 700,000 - 1,000,000 inpatient falls reported, and one-third of patients sustain an injury. The average estimated cost per fall is $6,694, resulting in over $1.4 -1.9 billion dollars in losses each year (AHRQ, 2017). This study aims to compare the impact of different fall prevention strategies on the rate of occurrence of falls and falls with injury in an academic medical center on three adult medical units. While maintaining the usual standard of care for fall prevention, each unit will add one of the following: (1) use of a fall risk alert to nurses using an algorithm based on electronic health record data or (2) computerized camera visualization or (3) a combination of both.

Conditions

  • Fall Patients
  • Fall Injury

Interventions

OTHER

Fall prevention algorithm

Algorithm generates fall prevention alerts to nurses in real time, using evidenced based electronic health record information regarding changes in care that may suggest the need for additional fall prevention strategies

OTHER

Inspiren camera visualization

The Inspiren computer camera visualization is an additional strategy for nurses to employ when there is a change in a patient's fall risk.

Sponsors & Collaborators

Principal Investigators

  • Colleen K Snydeman, PhD · Massachusetts General Hospital

Study Design

Allocation
NON_RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-09-24
Primary Completion
2025-09-23
Completion
2025-09-24

Countries

  • United States

Study Locations

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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 NCT06339125 on ClinicalTrials.gov