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Record W7048696089

Literature Review: Cost Calculation of Blood Services in Some Countries (Based on HDI Level)

2022· article· en· W7048696089 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitas Airlangga Repository (Universitas Airlangga) · 2022
Typearticle
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsService (business)Total costBlood productBlood bankCost estimateProduct (mathematics)Cost driverCost analysisUnit (ring theory)
DOInot available

Abstract

fetched live from OpenAlex

The blood processing replacement costs (BPPD) establishment in Indonesia is an incomprehensive cost calculation for blood services. Several countries have calculated costs for blood services at health care institutions through an activity framework plus generated blood products and components costs as well as blood services fees. This study aims to discuss the cost calculation method for blood services carried out in Zimbabwe, Canada, United Kingdom, Greece and India. It was a literature review conducted by accessing scientific articles sourced from the Google Scholar database. A total of 11 articles were collected, but only 5 with relevant topics were discussed. Blood service cost calculation provides information of various activities involved in producing a product and service. Also, blood service framework model determination was needed as a cost center for estimation to prevent duplication. Each activity's total output from the cost center was used in calculating the unit cost of the activity or product. The blood products and components include whole blood, red blood cells, platelets, plasma (FFP), and cryoprecipitate. Each of the blood components require a different cost determined by the activity involved in their production.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.184
Teacher spread0.176 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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