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Record W2091185453 · doi:10.1002/hpm.653

The performance of material management in health care organizations

2002· article· en· W2091185453 on OpenAlexaff
Ivan Dacosta‐Claro

Bibliographic record

VenueThe International Journal of Health Planning and Management · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsPolytechnique MontréalCenter for Interuniversity Research and Analysis on Organizations
Fundersnot available
KeywordsPurchasingBusinessNegotiationService (business)Software deploymentProduct (mathematics)Operations managementWork (physics)Supply chainMaterials managementControl (management)Process managementSupply chain managementDistribution (mathematics)MarketingComputer science

Abstract

fetched live from OpenAlex

This paper studies the hospital supply chain. The analysis of the operational and financial data of hospital administrative structures has permitted the discovery of the characteristics of work carried out by the employees and the different strategies used by the managers. Firstly, hospital supply chains must be classified into two groups influenced by medical factors (short-term and long-term hospitals). Secondly, two different management approaches can be observed when the supply chain operations are analysed. The first approach assigns a larger budget priority to inventory control, packages reception and internal distribution. Thus, the purchasing services have relatively fewer resources. In the second approach, contract negotiation and product ordering processes are enforced by the deployment of, relatively, more personnel. In both cases, the central store service performs merchandise reception and distribution according to the strategies determined by the purchasing service.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.285
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2002
Admission routes1
Has abstractyes

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