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Clinical decision support systems at the Vienna General Hospital using Arden Syntax: Design, implementation, and
Christian Schuh1, Jeroen S de Bruin2, Walter Seeling1
1Section for Medical Expert and Knowledge-Based Systems, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, A-1090 Vienna, Austria; IT Systems & Communications, Medical University of Vienna, Spitalgasse 23, A-1090 Vienna, Austria.
The Allgemeines Krankenhaus Informations Management (AKIM) project successfully integrated clinical decision support systems (CDSSs) into the Vienna General Hospital
Area of Science:
- Medical Informatics
- Health Information Systems
- Clinical Decision Support
Background:
- The Allgemeines Krankenhaus Informations Management (AKIM) project at Vienna General Hospital (VGH) aimed to enhance hospital information systems (HIS).
- Integration of expert system platforms (EXP) enabled the use of Arden Syntax-based clinical decision support systems (CDSSs).
Purpose of the Study:
- To report on the milestones and challenges in developing and integrating CDSSs into the VGH HIS over three years.
- To evaluate the impact of Arden Syntax and HIS integration on CDSS adoption.
Main Methods:
- A three-stage development method: requirements engineering, implementation/testing, and deployment/integration.
- Utilized multiple Arden Syntax servers for hosting and executing CDSS knowledge bases within the HIS.
- Discussed three specific CDSS applications: MONI-ICU, TSM-CDS, and TacroDS.
Main Results:
- Successfully integrated multiple Arden Syntax-based CDSSs into the VGH HIS.
- Demonstrated successful applications in intensive care surveillance, melanoma metastasis risk prediction, and tacrolimus dosage management.
- Identified data quality/availability and organizational issues as primary challenges in development and integration.
Conclusions:
- Clinician interest and demand for decision support increased significantly due to AKIM project successes.
- Arden Syntax facilitated rapid creation of high-quality CDSSs, while HIS integration boosted physician popularity.
- Persistent challenges include inconsistent electronic data, social acceptance, and legislative hurdles for wider CDSS adoption.
