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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
Defining and reconstructing clinical processes based on IHE and BPMN 2.0.
Melanie Strasser1, Franz Pfeifer, Emmanuel Helm
1Upper Austria University of Applied Sciences, Research & Development.
This system uses IHE standards and Business Process Model and Notation (BPMN) to define and analyze clinical processes. It helps identify cost drivers and improve patient care by comparing defined versus actual workflows.
Area of Science:
- Health Informatics
- Process Management
- Clinical Workflow Analysis
Background:
- Clinical care processes are complex and vary significantly.
- Evaluating and optimizing these processes is crucial for cost control and quality improvement.
- Existing systems often lack interoperability and standardized process definition.
Purpose of the Study:
- To present a process management system for defining and reconstructing clinical care processes.
- To enable comparison, analysis, and evaluation of clinical processes.
- To identify high-cost tasks and discrepancies between planned and actual patient care pathways.
Main Methods:
- The system is based on Integrating the Healthcare Enterprise (IHE) standards for interoperability.
- Business Process Model and Notation (BPMN) is used for defining and executing clinical processes.
- Clinical process reconstruction is achieved by analyzing an IHE audit log database of patient movements.
Main Results:
- The system allows for the definition of healthcare information system-independent clinical core processes.
- It enables the execution of these processes within a workflow engine.
- Discrepancies between defined and actual clinical processes can be detected, aiding in cost identification.
Conclusions:
- The system assists hospital operators and managers in identifying high medical costs and process inefficiencies.
- It facilitates the reconstruction and improvement of clinical processes.
- Potential to enhance cost control and improve patient care quality through process optimization.
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