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Record W2895897563 · doi:10.1108/ijlss-05-2017-0051

Lean management approach in hospitals: a systematic review

2018· review· en· W2895897563 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Lean Six Sigma · 2018
Typereview
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsLean manufacturingLean Six SigmaScopusSix SigmaLean project managementLean ITOperations managementHuman performance technologyPersianProcess managementComputer scienceManufacturing engineeringEngineeringMEDLINEPolitical science

Abstract

fetched live from OpenAlex

Purpose In the recent few years, the Lean management has made significant improvements in providing quality service to patients in many health-care centers. Thus, this study aims to systematically review features and results of conducted studies using a lean management approach in hospitals. Design/methodology/approach In this systematic review, eight databases, including PubMed, Web of Knowledge, Google Scholar, Scopus, Iranmedex, SID, Magiran and Medlib, were searched using keywords including “Lean principles,” “Lean Six Sigma,” “Lean Process SID,” “Lean thinking,” “Lean Methodology,” “Toyota Production System lean processing,” “lean techniques” and “hospital,” as well as their Persian equivalents. Required data were extracted using an extraction table and were analyzed using content analysis method. Findings Out of 967 identified articles, 48 articles were included in the study. Most of the studies have been conducted in developed countries such as America, Britain, The Netherlands and Canada. The highest number of studies has been conducted in the overall hospital and emergency departments. Lean Six Sigma and Lean methodology were the most frequent terms used for lean management. The five-phase Six Sigma methodology was one of the most important methods used for the implementation of the Lean management. Performing the process at the first time (timing) and length of stay had the highest frequencies among indicators assessed in the studies. All indicators assessed in the studies have improved after the implementation of Lean management. Among 150 assessed indicators, 69 were meaningfully improved ( p < 0.05) and 12 indicators did not have a meaningful improvement ( p > 0.05) and 69 indicators did not show any meaningful changes. Practical implications A number of implications are drawn out to aid academics, practitioners and policymakers in improving knowledge and skills. The elimination of production wastes is the most important principle of Lean thinking and paying attention to the clients and increasing the value. This will significantly improve quality of services to the patients and reduce costs and losses through preventing wastes. Suitable metrics in Lean management need to be established. A move to placing greater emphasis on understanding the contexts in which theory is implemented is another application. Research/limitation The limitation of this study is selection of studies in English and Persian language, excluding gray literatures and unpublished studies and relying on a relatively limited number of databases for the identification of potentially eligible studies. In addition, because of the enormous heterogeneity in the methods and results of the studies, performing a meta-analysis in this study was not possible. Originality/value The results of this study show that there were many dispersions and heterogeneities in the way of implementation and content of Lean management in hospitals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.441
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.166
GPT teacher head0.532
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it