ArticleHealth care management science2021
Scheduling patient appointment in an infusion center: a mixed integer robust optimization approach.
Article in Health care management science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Advance Multi-Priority, Multi-Appointment Patient Scheduling With Dependent Demand and Lead Times.Production and operations management · 2026Article
- Outpatient chemotherapy planning and decision making: a systematic review.Health systems (Basingstoke, England) · 2026Review
- A Text Message Intervention to Minimize the Time Burden of Cancer Care.NEJM catalyst innovations in care delivery · 2025Article
- Patient Unpunctuality's Effect on Appointment Scheduling: A Scenario-Based Analysis.Healthcare (Basel, Switzerland) · 2023Article
- Operations Management Interventions in Cancer Care Delivery in LMICs: The Way Forward.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling.International journal of environmental research and public health · 2022Article
- Robust Operating Room Scheduling Model with Violation Probability Consideration under Uncertain Surgery Duration.International journal of environmental research and public health · 2022Article
- Applying Value Stream Mapping to Improve the Delivery of Patient Care in the Oncology Day Hospital.International journal of environmental research and public health · 2022Article
- Using Simulation Optimization to Solve Patient Appointment Scheduling and Examination Room Assignment Problems for Patients Undergoing Ultrasound Examination.Healthcare (Basel, Switzerland) · 2022Article
- Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.Journal of healthcare engineering · 2022Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infusion centers are experiencing greater demand, resulting in long patient wait times. The duration of chemotherapy treatment sessions often varies, and this uncertainty also contributes to longer patient wait times and to staff overtime, if not managed properly. The impact of such long wait times can be significant for cancer patients due to their physical and emotional vulnerability. In this paper, a mixed integer programming infusion appointment scheduling (IAS) mathematical model is developed based on patient appointment data, obtained from a cancer center of an academic hospital in Central Virginia. This model minimizes the weighted sum of the total wait times of patients, the makespan and the number of beds used through the planning horizon. A mixed integer programming robust slack allocation (RSA) mathematical model is designed to find the optimal patient appointment schedules, considering the fact that infusion time of patients may take longer than expected. Since the models can only handle a small number of patients, a robust scheduling heuristic (RSH) is developed based on the adaptive large neighborhood search (ALNS) to find patient appointments of real size infusion centers. Computational experiments based on real data show the effectiveness of the scheduling models compared to the original scheduling system of the infusion center. Also, both robust approaches (RSA and RSH) are able to find more reliable schedules than their deterministic counterparts when infusion time of patients takes longer than the scheduled infusion time.
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Registered trials
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