ArticleHealth care management science2016
Improving patient flow at a family health clinic.
Article in Health care management science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Pooled it
- Application of discrete event simulation in health care: a systematic review.BMC health services research · 2018Pooled it
- Application of Lean Principles to the Comprehensive Geriatric Assessment to Reduce Cycle Time.Canadian geriatrics journal : CGJ · 2025Article
- Article
- Weekly home healthcare routing and scheduling with overlapping patient clusters.Health systems (Basingstoke, England) · 2025Article
- Optimizing neurosurgery clinic operations: a comparative study of interventions in Finland's public healthcare system.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024Article
- Offering transportation services to economically disadvantaged patients at a family health center: a case study.Health systems (Basingstoke, England) · 2022Article
- Using quality improvement methodology and tools to reduce patient wait time in a paediatric subspecialty rheumatology clinic.BMJ open quality · 2021Article
- Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021Review
- Article
- How improving access times had unforeseen consequences: a case study in a Dutch hospital.BMJ open · 2019Article
- Designing and scheduling a multi-disciplinary integrated practice unit for patient-centred care.Health systems (Basingstoke, England) · 2019Article
- Using the theory of constraints' processes of ongoing improvement to address the provider appointment scheduling system design problem.Health systems (Basingstoke, England) · 2018Article
- A Multipronged Initiative to Improve Productivity and Patient Access in a Federally Qualified Health Center Network.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
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents an analysis of a residency primary care clinic whose majority of patients are underserved. The clinic is operated by the health system for Bexar County and staffed primarily with physicians in a three-year Family Medicine residency program at The University of Texas School of Medicine in San Antonio. The objective of the study was to obtain a better understanding of patient flow through the clinic and to investigate changes to current scheduling rules and operating procedures. Discrete event simulation was used to establish a baseline and to evaluate a variety of scenarios associated with appointment scheduling and managing early and late arrivals. The first steps in developing the model were to map the administrative and diagnostic processes and to collect time-stamped data and fit probability distributions to each. In conjunction with the initialization and validation steps, various regressions were performed to determine if any relationships existed between individual providers and patient types, length of stay, and the difference between discharge time and appointment time. The latter two statistics along with resource utilization and closing time were the primary metrics used to evaluate system performance.The results showed that up to an 8.5 % reduction in patient length of stay is achievable without noticeably affecting the other metrics by carefully adjusting appointment times. Reducing the no-show rate from its current value of 21.8 % or overbooking, however, is likely to overwhelm the system's resources and lead to excessive congestion and overtime. Another major finding was that the providers are the limiting factor in improving patient flow. With an average utilization rate above 90 % there is little prospect in shortening the total patient time in the clinic without reducing the providers' average assessment time. Finally, several suggestions are offered to ensure fairness when dealing with out-of-order arrivals.
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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.