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COMPLETED
NCT06339125
NA

Predictive Analytics and Computer Visualization Enhances Patient Safety to Prevent Falls

Sponsor: Massachusetts General Hospital

View on ClinicalTrials.gov

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.

Official title: Predictive Analytics Combined With Computer Visualization Enhances Patient Safety and Eases Nurse Burden for Preventing Falls

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

5350

Start Date

2024-09-24

Completion Date

2025-09-24

Last Updated

2026-05-04

Healthy Volunteers

Yes

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.

Locations (1)

Massachusetts General Hospital

Boston, Massachusetts, United States