Development of an AI-based system for predicting falls and fall-related injuries in hospitals

Development of an AI-based system for predicting falls and fall-related injuries in hospitals - Development of an AI-based system for predicting falls and fall-related injuries in hospitals

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000041289

Enrollment

300000

Registered

2020-08-03

Start date

2020-08-03

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

None (All patients admitted during the study period)

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: The patients who had been hospitalized in Fujita Health University Hospital from April 2012 to March 2020 and those who had been hospitalized in Fujita Health University Nanakuri Memorial Hospital from April 2016 to March 2020.

Exclusion criteria

Exclusion criteria: A person who has asked to be excluded from the study to the researcher listed in the disclosure document on the website.

Design outcomes

Primary

Measure	Time frame
Falls and fall-related injuries obtained from incident reports	—

Secondary

Measure	Time frame
Scores of fall risk assessment tool	—

Countries

Japan

Contacts

Public ContactShin Kitamura

Fujita Health University Faculty of Rehabilitation, School of Health Sciences

shin.kitamura@fujita-hu.ac.jp0562-93-9000

Outcome results