Intensive Care Quality Indicators Dashboard Using Observational Medical Outcomes Partnership Common Data Model

Area of Science:

• Health Informatics
• Clinical Data Management
• Healthcare Quality Improvement

Background:

• Quality indicators are crucial for monitoring and improving patient outcomes in intensive care units (ICUs).
• Standardizing data representation is essential for effective data sharing and analysis across healthcare institutions.
• Existing visualization tools may lack interoperability or specific features for ICU quality metrics.

Purpose of the Study:

• To develop a user-friendly visualization dashboard for ICU quality indicators.
• To leverage the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) for data standardization and interoperability.
• To facilitate the analysis and interpretation of ICU quality data through various visual formats.

Main Methods:

• Development of a web-based visualization dashboard.
• Integration with data structured according to the OMOP Common Data Model (CDM).
• Implementation of visualization components including histograms, pie charts, and tables for quality indicator data.

Main Results:

• A functional dashboard capable of visualizing ICU quality indicators was successfully developed.
• The use of OMOP CDM ensures compatibility and seamless implementation across different hospital systems.
• The dashboard provides multiple visual formats for intuitive data exploration.

Conclusions:

• The developed dashboard offers a valuable tool for monitoring ICU quality indicators.
• Standardization via OMOP CDM facilitates broader adoption and data comparability.
• Future work will focus on expanding indicator scope and gathering clinical user feedback.