Establishing Medical Intelligence-Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study.

ABSTRACT:

Background

FHIR (Fast Healthcare Interoperability Resources) has been proposed to enable health data interoperability. So far, its applicability has been demonstrated for selected research projects with limited data.

Objective

This study aimed to design and implement a conceptual medical intelligence framework to leverage real-world care data for clinical decision-making.

Methods

A Python package for the use of multimodal FHIR data (FHIRPACK [FHIR Python Analysis Conversion Kit]) was developed and pioneered in 5 real-world clinical use cases, that is, myocardial infarction, stroke, diabetes, sepsis, and prostate cancer. Patients were identified based on the ICD-10 (International Classification of Diseases, Tenth Revision) codes, and outcomes were derived from laborato

SUBMITTER: Brehmer A 

PROVIDER: S-EPMC11565078 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature