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Clinical appointment process: improvement through schedule defragmentation.
Jie Lian1, Kori Distefano, Somer D Shields
1Micro Systems Engineering Inc., Lake Oswego, OR 97035, USA. jie.lian@biotronik.com
Improving clinic efficiency involves optimizing appointment scheduling. This study introduces a defragmentation method considering patient-provider preferences, which enhances appointment acceptance and clinic utilization rates.
Area of Science:
- Health Services Research
- Operations Research
- Healthcare Management
Background:
- Conventional clinic appointment scheduling systems often create fragmented time slots, leading to inefficiencies.
- Inefficient scheduling impacts patient access to healthcare providers and clinic resource utilization.
Purpose of the Study:
- To introduce and evaluate a novel appointment scheduling method based on schedule defragmentation.
- To improve clinic efficiency by considering patient and provider mutual preferences.
Main Methods:
- Developed a schedule defragmentation algorithm incorporating patient-provider preferences.
- Utilized computer simulation to assess the impact of the defragmentation method on scheduling efficiency.
- Conducted a clinical survey to identify practical implementation challenges and opportunities.
Main Results:
- Computer simulations demonstrated that patient-provider cooperation effectively reduces schedule fragmentation.
- The proposed method significantly increased appointment acceptance rates and clinic time utilization.
- Decreasing unit time slot size further improved scheduling efficiency when service time distribution was accurately estimated.
Conclusions:
- Schedule defragmentation, incorporating mutual preferences, offers a viable solution to improve clinical appointment scheduling.
- The method has the potential to enhance patient access and optimize clinic resource management.
- Further research and practical implementation are needed to address identified opportunities and challenges.
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