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Mining context-aware resource profiles in the presence of multitasking
Gerhardus A W M van Hulzen1, Chiao-Yun Li2, Niels Martin3
1Hasselt University, Research group Business Informatics, Martelarenlaan 42, 3500 Hasselt, Belgium.
This study introduces ResProMin-MT, a new method for organizational mining to understand healthcare resource behavior. It helps managers improve resource allocation by considering multitasking and activity context for better care quality.
Area of Science:
- Health Informatics
- Process Mining
- Organizational Behavior
Background:
- Healthcare organizations need efficient resource management for high-quality care.
- Understanding the link between processes and human resources is crucial for effective management.
- Existing organizational mining methods struggle with multitasking and contextual data in healthcare.
Purpose of the Study:
- To introduce ResProMin-MT, a novel method for discovering context-aware resource profiles.
- To address limitations in current resource profiling algorithms, especially concerning multitasking.
- To enhance the understanding of resource behavior in healthcare settings.
Main Methods:
- Developed ResProMin-MT, a subfield of Process Mining, to analyze process execution data from Health Information Systems (HIS).
- Incorporated contextual activity dimensions, including activity durations and multitasking levels.
- Validated the method in a real-life healthcare context with expert input.
Main Results:
- ResProMin-MT effectively discovers context-aware resource profiles, even with multitasking.
- The method provides a comprehensive overview of resource behavior within healthcare organizations.
- Demonstrated feasibility and utility in a practical healthcare setting.
Conclusions:
- ResProMin-MT offers significant improvements over existing methods for resource profiling in healthcare.
- Insights from ResProMin-MT can guide healthcare managers in optimizing resource allocation, scheduling, and staffing.
- The approach enhances the ability to manage scarce resources efficiently for improved care standards.
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