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Arxiv
1d
353
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Assortment Optimization for Patient-Provider Matching
- Rising provider turnover leads to the frequent need for patient-provider rematching.
- Rematching process is currently cumbersome and labor-intensive.
- A novel patient-provider matching approach proposed to address rematching challenges by offering limited provider menus to patients.
- The goal is to maximize match quality while maintaining patient choice.
- The approach is framed as a type of assortment optimization.
- Patient-specific provider menus are provided upfront, and patients sequentially make selections.
- This hybrid offline-online setting is not well-studied in previous literature.
- A greedy baseline policy offering all providers to all patients maximizes match rate but can lead to low-quality matches.
- Different policies are constructed based on problem specifics like patient willingness to match and patient to provider ratio.
- On real-world data, the proposed policy improves match quality by 13% over the greedy solution by tailoring assortments based on patient characteristics.
- There's a tradeoff between menu size and system-wide match quality.
- Balancing patient choice with centralized planning is crucial for optimizing patient-provider matching.
- The study highlights the value of optimizing patient-provider matching processes.
- The research addresses the need for streamlining patient-provider rematching to enhance healthcare system efficiency.
- The proposed approach showcases significant improvements in match quality based on patient characteristics.
- The findings emphasize the importance of considering patient preferences in provider matching for better healthcare outcomes.
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