Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.

ABSTRACT:

Background

Older persons comprise most traumatic brain injury (TBI)-related hospitalizations and deaths and are particularly susceptible to fall-induced TBIs. The combination of increased frailty and susceptibility to clinical decline creates a significant ongoing challenge in the management of geriatric TBI. As the population ages and co-existing medical conditions complexify, so does the need to improve the quality of care for this population. Utilizing early hospital admission variables, this study will create and validate a multinomial decision tree that predicts the discharge disposition of older patients with fall-related TBI.

Methods

From the National Trauma Data Bank, we retrospectively analyzed 11,977 older patients with a fall-related TBI (2017-2021). Clinical vari

SUBMITTER: Osong B 

PROVIDER: S-EPMC11790116 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature