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Related Experiment Videos

Integrating feedback from a clinical data warehouse into practice organisation.

Andrew Grant1, Andriy Moshyk, Hassan Diab

  • 1Centre informatisé de recherche évaluative en soins et systèmes de la santé (CIRESSS Program), Centre hospitalier universitaire de Sherbrooke, Qué., Canada J1H 5N4. andrew.grant@usherbrooke.ca

International Journal of Medical Informatics
|September 13, 2005
PubMed
Summary

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Sherbrooke University Hospital implemented a clinical data warehouse (CDW) in 2004, enabling continuous evaluation of clinical practice. This system facilitates data access for improved healthcare quality and operational insights.

Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Hospital Information Systems

Background:

  • Established in 1990, the Sherbrooke University Hospital (CHUS) implemented a patient-oriented hospital information system (ARIANE).
  • A clinical data warehouse (CDW) was completed in 2004, designed for integration with ARIANE, with daily updates.
  • Data within the CDW includes ICD discharge diagnoses, visit DRG, and SNOMED encoding, with encryption and institutional access controls.

Purpose of the Study:

  • To describe the implementation and accessibility of a clinical data warehouse (CDW) at Sherbrooke University Hospital (CHUS).
  • To introduce user-friendly tools for accessing and analyzing clinical data to support quality improvement and operational management.
  • To foster a culture of continuous evaluation of clinical practice through readily available electronic health record data.

Related Experiment Videos

Main Methods:

  • The CDW is updated daily from the ARIANE hospital information system.
  • Two levels of web-browser accessible tools were developed: a dashboard for pre-determined queries and a database query tool for trained users.
  • Prototype dashboards were designed and evaluated for the emergency department (patient occupancy) and biochemistry department (quality assurance).

Main Results:

  • The CDW system facilitates data access through user-friendly interfaces, requiring minimal training for basic dashboard use.
  • Evaluated dashboards demonstrated acceptability for analyzing patient occupancy and quality assurance in specific departments.
  • The system aims to overcome common challenges in clinical data warehousing, such as data integration issues.

Conclusions:

  • The CHUS clinical data warehouse (CDW) is poised to significantly impact clinical practice by enabling continuous data-driven evaluation.
  • The developed tools enhance data accessibility, promoting a culture change towards evidence-based clinical decision-making.
  • This initiative highlights the potential of integrated hospital information systems and CDWs to improve healthcare quality and efficiency.