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Record W2807946757 · doi:10.4212/cjhp.v51i4.1961

Vendor quality ratings in contract awards

2018· article· en· W2807946757 on OpenAlexvenueaboutno aff
Ron Maxymyshyn

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2018
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsVendorHumanitiesService qualityLibrary sciencePolitical scienceOperations managementBusinessService (business)Computer scienceEngineeringMarketingArt

Abstract

fetched live from OpenAlex

ABSTRACT The Pharmacy Advisory Committee of B.C. Health Services has developed a Pharmacy Vendor Quality Management Program. This program employs a rating scale to measure quality of delivery service, quality of invoicing service and quality of customer service. Ten elements, each rated on a four-point scale, are included in the rating system. Hospitals in each of six regions of B.C. collect data using the system. The ratings are averaged, weighted and used to make decisions regarding vendor contracts, if all other factors are equal. Vendor bids are increased by up to 10%, inversely reflecting their vendor quality rating. We have found this system to be an unbiased objective means to quantify the performance of vendors and integrate service quality into the contracting process. RESUME Le Conseil consultatif de pharmacie des Services de sante de la Colombie-Britannique a elabore un programme de gestion de la qualite des fournisseurs pharmaceutiques. Ce programme utilise une echelle de notation pour mesurer la qualite des services de livraison, de facturation et aupres de la clientele, de ces fournisseurs. Le programme permet d'evaluer dix elements sur une echelle de quatre. Les hopitaux de chacune des six regions brianno-colombiennes recueillent les donnees issues du programme. On calcule ensuite une moyenne des cotes obtenues et on les pondere. Les cotes resultantes servent a choisir un fournisseur parmi plusieurs, lorsque les autres facteurs de selection son egaux. Les soumissions des fournisseurs ont augmente jusqu'a 10 %, refletant de facon inversement proportionnelle la cote qualitative de ces fournisseurs. Ce systeme s'est avere un moyen objectif de quantifier le rendement des fournisseurs et d'integrer la qualite du service dans l'attribution des contrats.

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)0.105
metaresearch head score (Gemma)0.295
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.557

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1050.295
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.009
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.138
GPT teacher head0.445
Teacher spread0.306 · 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 designNot applicable
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

Citations0
Published2018
Admission routes2
Has abstractyes

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