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Process-Modelling of Cross-Sector Healthcare Quality Indicators
Julia M. Kirisits, Walter Gall
71 - 76
10.3233/SHTI230015
Research Article
Studies in Health Technology and Informatics
Volume 301: dHealth 2023
Abstract

Background:

Quality indicators (QI) are a common method to ensure quality in healthcare. This paper is based on the so-called QI-KA project, which defined cross-sector QI for the Austrian healthcare system. However, to allow for automated conformance checking, the QI must be modelled in a formal way.

Objectives:

The aim of this paper is to gather requirements on modelling languages and tools in healthcare, create models for one of the QI-KA project’s QI and finally evaluate them.

Methods:

The QI-2 is modelled in the Business Process Model and Notation (BPMN) together with the Decision Model and Notation (DMN) to showcase and evaluate their application and suitability.

Results:

The generated models show that BPMN and DMN are mostly appropriate for this use case and serve as a basis for automated conformance checking.

Conclusion:

We successfully showed that BPMN and DMN can be used to model cross-sector QI in a formal way to prepare for conformance checking. The field of application can be extended to other medical areas. To further improve quality in healthcare, outcomes from models and conformance-checking should be discussed in interdisciplinary teams.

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