ArticleHealth care management science2019
Appointment scheduling in multi-stage outpatient clinics.
Article in Health care management science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
11 citing papers in PubMed.
- Comparing service delivery models in Finnish dental care: efficiency of the single-visit approach.BMC oral health · 2025Article
- From Paper to Platform: Evaluating the Shift From Manual to Electronic Surgical Booking in a Large Hospital Setting.Cureus · 2025Article
- An adaptive decision support system for outpatient appointment scheduling with heterogeneous service times.Scientific reports · 2024Article
- Research on outpatient capacity planning combining lean thinking and integer linear programming.BMC medical informatics and decision making · 2023Article
- Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling.International journal of environmental research and public health · 2022Article
- Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.Journal of healthcare engineering · 2022Review
- Dynamic multistage scheduling for patient-centered care plans.Health care management science · 2021Article
- Assimilation of Medical Appointment Scheduling Systems and Their Impact on the Accessibility of Primary Care: Mixed Methods Study.JMIR medical informatics · 2021Article
- Stochastic programming for outpatient scheduling with flexible inpatient exam accommodation.Health care management science · 2021Article
- Designing schedule configuration of a hybrid appointment system for a two-stage outpatient clinic with multiple servers.Health care management science · 2020Article
- The Effects of Session Standardization and Template Optimization on Improving Access to High-Demand Pediatric Subspecialty Care.The Journal of ambulatory care managementArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare providers can benefit from adding less costly capacity to their existing resources in order to satisfy demand while maintaining the quality of patient care. The addition of mid-level service providers (MLSPs) such as physician assistants or nurse practitioners that carry out portions of patient care provides a viable alternative for adding physician capacity. This research considers the circumstances under which adding an MLSP to a single-physician outpatient office becomes the best strategy for the clinic, and determines how scheduling policies from the widely-researched single-stage environment should be adjusted for a multi-stage environment. Compared to a single-stage system where a physician completes all portions of the service, we show that adding an MLSP can reduce patient waiting time, patient flow time, and physician service time with patients. This, in turn, can enable the clinic to see more patients and/or free up physician time for other tasks. Appointment scheduling rules are developed for a multi-stage outpatient service system using a simulation optimization approach. Performance measures focus on the patient experience and clinic operation before and during each stage of service.
Indexed as
Identifiers
29404881What OpenQuestion holds
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.