Comparing Single-Hospital and National Models to Predict 30-Day Inpatient Mortality.

ABSTRACT:

Background

Advances in artificial intelligence and machine learning have facilitated the creation of mortality prediction models which are increasingly used to assess quality of care and inform clinical practice. One open question is whether a hospital should utilize a mortality model trained from a diverse nationwide dataset or use a model developed primarily from their local hospital data.

Objective

To compare performance of a single-hospital, 30-day all-cause mortality model against an established national benchmark on the task of mortality prediction.

Design/participants

We developed a single-hospital mortality prediction model using 9975 consecutive inpatient admissions at the Department of Veterans Affairs Palo Alto Healthcare System from July 26, 2018, to Septe

SUBMITTER: Cogill S 

PROVIDER: S-EPMC11914419 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature