Computer-Interpretable Quality Indicators for Intensive Care Medicine: Development and Validation Study.

ABSTRACT:

Background

Quality indicators (QIs) can help assess intensive care quality, identify potential for improvement, and ultimately enhance patient outcomes. Therefore, the German Interdisciplinary Association of Critical Care and Emergency Medicine (DIVI) has developed QIs for intensive care medicine. However, variability in how these are technically implemented across health care facilities currently limits their comparability.

Objective

The aim of the study is to develop unambiguous computer-interpretable representations of the DIVI QIs for intensive care medicine using Fast Healthcare Interoperability Resources (FHIR) and to establish a replicable process for translating narrative QIs into standardized digital formats.

Methods

We first decomposed the narrative DIVI int

SUBMITTER: von Dincklage F 

PROVIDER: S-EPMC12533511 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature