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Record W3113568525 · doi:10.32352/0367-3057.6.20.03

Theoretical and applied aspects of creating a unified information accounting system of pharmaceutical and medical products in Ukraine

2020· article· en· W3113568525 on OpenAlexaboutno aff
I. Yu. Revyatskyy, А. І. Бойко

Bibliographic record

VenueFarmatsevtychnyi zhurnal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnterprise Management and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsAccounting information systemMedical informationBusinessAccountingManagement scienceComputer scienceKnowledge managementEngineering

Abstract

fetched live from OpenAlex

In modern conditions of reforming the Ukrainian Health Care system based on the introduction of innovative digital information technologies, the development of a methodology for the computerization of pharmaceutical information exchange processes is relevant. The purpose of our study was to develop a methodology for creating a unified accounting system (UAS) of information on pharmaceutical and medical products (Ph&MP) in Ukraine (taking into account the current standards of computer systems for structuring and fixing information, as well as in accordance with international standards for automated identification of information about Ph&MP. The objects of the research were: scientific and specialized publications devoted to the issue of the implementation of a system of accounting and tracking of medical and health care in the EU, USA, Canada;pharmaceutical information with tracking and recording the established information flows in computer databases.The main research is based on the methodology of pharmaceutical informatics: creation of pharmaceutical computer databases, coding of pharmaceutical products. The method of system analysis processed publications on the types of Ph&MP encodings in the EU, USA, Canada. In the scientific work, the international standards for the sale of information in two-dimensional shaded codes of the DataMatrixECC 200 standard are highlighted, which is one of the information blocks on the basis of which the development of the UAS Ph&MP database structure should be based.The structure and interconnection of information blocks for the accounting of Ph&MP units using GTIN and serial numbers in the database of structural units of business entities of the pharmaceutical market of Ukraine have been developed. A systematic analysis of the types of Ph&MP encodings in the EU countries, the USA, and Canada has been carried out.Highlighted rational approaches to the formation of coding and accounting for Ph & MP, taking into account national characteristics. The basis of the integral structure of the UAS Ph&MP with basic information blocks has been developed.Approaches and principles to the methodology of its formation are given, taking into account the current standards of computer systems for the structuring and fixing of information, as well as in accordance with international standards for automated identification of information about Ph&MP. The requirements for the compliance of computer databases of structural units of business entities with modern standards for preserving pharmaceutical information necessary about medicines when accounting are presented.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.004
Science and technology studies0.0020.004
Scholarly communication0.0090.006
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.228
Teacher spread0.215 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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