A computable biomedical knowledge object for calculating in-hospital mortality for patients admitted with acute myocardial infarction.

ABSTRACT:

Introduction

Quality indicators play an essential role in a learning health system. They help healthcare providers to monitor the quality and safety of care delivered and to identify areas for improvement. Clinical quality indicators, therefore, need to be based on real world data. Generating reliable and actionable data routinely is challenging. Healthcare data are often stored in different formats and use different terminologies and coding systems, making it difficult to generate and compare indicator reports from different sources.

Methods

The Observational Health Sciences and Informatics community maintains the Observational Medical Outcomes Partnership Common Data Model (OMOP). This is an open data standard providing a computable and interoperable format for real world

SUBMITTER: Sadsad R 

PROVIDER: S-EPMC10582239 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature