An Update to the Kaiser Permanente Inpatient Risk Adjustment Methodology Accurately Predicts In-Hospital Mortality: a Retrospective Cohort Study.

ABSTRACT:

Background

Methods to accurately predict the risk of in-hospital mortality are important for applications including quality assessment of healthcare institutions and research.

Objective

To update and validate the Kaiser Permanente inpatient risk adjustment methodology (KP method) to predict in-hospital mortality, using open-source tools to measure comorbidity and diagnosis groups, and removing troponin which is difficult to standardize across modern clinical assays.

Design

Retrospective cohort study using electronic health record data from GEMINI. GEMINI is a research collaborative that collects administrative and clinical data from hospital information systems.

Participants

Adult general medicine inpatients at 28 hospitals in Ontario, Canada, between April 201

SUBMITTER: Roberts SB 

PROVIDER: S-EPMC10682304 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature