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A conceptual persistent healthcare quality improvement process for software development management.
Jen-Chiun Lin1, Mei-Ju Su, Po-Hsun Cheng
1Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Summary
This study presents a quality improvement process for healthcare software development, integrating five information systems. The enhanced system achieved a preliminary user satisfaction score of 71.31 in 2006.
Area of Science:
- Health Informatics
- Software Engineering
- Quality Management
Background:
- Healthcare enterprises require robust software development processes to ensure service quality.
- Existing quality information systems may need adaptation for specific healthcare contexts.
- Continuous improvement cycles are crucial for managing complex healthcare information systems.
Purpose of the Study:
- To illustrate a sustained conceptual service quality improvement process for healthcare software development management.
- To adapt Niland's healthcare quality information system (HQIS) for practical application.
- To integrate multiple information systems into a comprehensive quality management framework.
Main Methods:
- Revised Niland's healthcare quality information system (HQIS).
- Integrated five information systems: healthcare information systems, health quality information system, requirement management system, executive information system, and digital learning system.
- Implemented a full Deming cycle for continuous improvement.
Main Results:
- The integrated system includes functions for user satisfaction surveys, online operational bylaw descriptions, and on-demand training.
- A preliminary user satisfaction survey was conducted in 2006.
- The outpatient information system achieved an average user satisfaction score of 71.31.
Conclusions:
- The proposed process offers a sustained approach to improving service quality in healthcare software development.
- Integration of diverse information systems can support a comprehensive quality management cycle.
- The preliminary satisfaction scores indicate a baseline for future improvements in healthcare information systems.
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