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Record W2048372881 · doi:10.1108/14637151011093035

Redesigning the replenishment process of medical supplies in hospitals with RFID

2010· article· en· W2048372881 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBusiness Process Management Journal · 2010
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsUniversité de SherbrookeUniversité du Québec à Montréal
Fundersnot available
KeywordsRadio-frequency identificationImplementationSupply chainProcess managementComputer scienceReturn on investmentOperations managementProcess (computing)Supply chain managementKey (lock)Reliability (semiconductor)Value stream mappingBusiness processBusinessWork in processComputer securityMarketingEngineeringLean manufacturing

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to present a case study of a hospital nursing unit that has evaluated and approved a two‐bin “e‐kanban” replenishment system based on passive high frequency radio‐frequency identification (RFID) technology. Design/methodology/approach The case study analysis is based on both qualitative and quantitative data that were collected using semi‐structured interviews, on‐site observations and experience from previous implementations. The data and simulation analysis presented in this paper were validated by key respondents thereby increasing their reliability. Findings Results indicate that implementing the e‐kanban RFID solution in conjunction with the redesign of the ward floor and of the roles and functions can substantially improve business and operational performance. The most important benefits for the hospital are derived from the time saved from non‐value‐added activities that can be transferred to patient care activities and the significant reduction of on‐hand inventory at distributed storage locations. The solution is considered an alternative that requires less initial investment than RFID‐enabled cabinets used in the replenishment of consignment and high‐value supplies in operating rooms and cardiac catheterization laboratories. Research limitations/implications There is a need to conduct further research on RFID supply chain management (SCM) applications in the healthcare sector as this area holds a great potential for performance improvements. Additionally, there is a need to conduct more in‐depth research into the isolated impact of RFID technology in comparison to the change management and process redesign that it generates. One key limitation of this research is the case study approach based on a single case. This paper, therefore provides direction for practitioners on how to assess RFID's potential impact in the healthcare supply chain. Originality/value While most of the research on RFID in healthcare sector focuses on active RFID technology for asset management, this research presents a novel RFID application and contributes to our understanding of RFID's potential in intra‐organizational SCM processes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.236
Teacher spread0.232 · 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