ArticleHealthcare (Basel, Switzerland)2022
Using Simulation Optimization to Solve Patient Appointment Scheduling and Examination Room Assignment Problems for Patients Undergoing Ultrasound Examination.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 15 citations in OpenAlex.
- Scenario-Based Simulation Modeling for Performance and Efficiency Improvement in an Ultrasonography Department.Healthcare (Basel, Switzerland) · 2026Article
- Design of an ultrasound appointment system based on a patient-centered real-time dynamic resource allocation strategy.Frontiers in public health · 2025Article
- Patient Unpunctuality's Effect on Appointment Scheduling: A Scenario-Based Analysis.Healthcare (Basel, Switzerland) · 2023Article
- Analysis of Patient Satisfaction through the Effect of Healthcare Spending on Waiting Times for Consultations and Operations.Healthcare (Basel, Switzerland) · 2022Article
- Applying Simulation Optimization to Minimize Drug Inventory Costs: A Study of a Case Outpatient Pharmacy.Healthcare (Basel, Switzerland) · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
This study investigates patient appointment scheduling and examination room assignment problems involving patients who undergo ultrasound examination with considerations of multiple examination rooms, multiple types of patients, multiple body parts to be examined, and special restrictions. Following are the recommended time intervals based on the findings of three scenarios in this study: In Scenario 1, the time interval recommended for patients' arrival at the radiology department on the day of the examination is 18 min. In Scenario 2, it is best to assign patients to examination rooms based on weighted cumulative examination points. In Scenario 3, we recommend that three outpatients come to the radiology department every 18 min to undergo ultrasound examinations; the number of inpatients and emergency patients arriving for ultrasound examination is consistent with the original time interval distribution. Simulation optimization may provide solutions to the problems of appointment scheduling and examination room assignment problems to balance the workload of radiological technologists, maintain high equipment utilization rates, and reduce waiting times for patients undergoing ultrasound examination.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.