ArticleHealth systems (Basingstoke, England)2019
Using the theory of constraints' processes of ongoing improvement to address the provider appointment scheduling system execution problem.
Article in Health systems (Basingstoke, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Towards a solution to the global healthcare crisis: using hierarchical decomposition and theory of constraints (TOC) to address the healthcare supply chain wicked problem.Health systems (Basingstoke, England) · 2025Article
- Achieving rapid and significant results in healthcare services by using the theory of constraints.Health systems (Basingstoke, England) · 2024Article
- Outcomes of managing healthcare services using the Theory of Constraints: A systematic review.Health systems (Basingstoke, England) · 2022Article
- Using the theory of constraints to create a paradigm shift in organisation performance at a large primary care provider practice.Health systems (Basingstoke, England) · 2022Article
- Identifying and Addressing the Underlying Core Problems in Healthcare Environments: An Illustration Using an Emergency Department Game.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many primary care clinics suffer from chaos. In scheduling, providers are continually trying unsuccessfully to balance supply and demand, and in execution, to manage disruptions to provider focus and patient flow. In this research the theory of constraints' (TOC) three processes of ongoing improvement (POOGI) provide a direction for the solution to achieving more, cheaper, better, and faster healthcare. This research is the second of a two-part study examining the appointment scheduling literature, identifying the core problem (using a case study for validation) and providing a generic process for developing effective provider appointment scheduling systems (PASS). In the first part, PASS design was studied and in this second part PASS execution is studied. A strawman process is developed to apply across outpatient medical practices. With this generic process implemented across outpatient scheduling systems cost could be reduced significantly while the quality and timeliness could be increased significantly.
Indexed as
Identifiers
What 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.