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Record W258833502

The Importance of Pedigree: Why Instituting RFID-Based Tracking of Pharmaceuticals Is Essential to Counteracting Counterfeiting and Maintaining Both the Health of the Public and the Potency of the American Drug Industry

2006· article· en· W258833502 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCompetition Forum · 2006
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsnot available
Fundersnot available
KeywordsCounterfeitPharmaceutical industryBusinessCounterfeit DrugsGovernment (linguistics)Supply chainProduct (mathematics)Public healthPrescription drugMedical prescriptionMarketingMedicinePharmacologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

EXECUTIVE SUMMARY This article investigates the fast-growing problem of counterfeit prescription drugs, examining the toll being exacted by counterfeit medicines worldwide. The article also looks at the health concerns caused by the rising tide of fake pharmaceuticals. It then examines how leading pharmaceutical companies are seeking to protect their brands, bottom-lines, and patients through the use of RFID to ensure the integrity of their product. The article also provides an update on legislative efforts to improve pharmaceutical supply chain security. Finally, the article examines forecasts for growth in this area, with an analysis of the future of the pharmaceutical market for RFID. Keywords: RFID (Radio Frequency Identification), Pharmaceutical Industry, Supply Chain Security, Product Theft, Counterfeiting, Government Regulation INTRODUCTION Pharmaceuticals play a more prominent role in American health care than in any other nation. The North American market today comprises 47 percent of the global prescription drug market, which now exceeds half a trillion dollars, with Americans spending approximately $251.8 billion annually on pharmaceuticals. This is up significantly from a decade earlier, when American consumption represented approximately one-third of the world market (IMS Health, 2006a). America's insatiable demand for prescription drugs has led to serious cracks in the drug supply chain of the world's leading pharmaceutical market. This article examines the size and scope of the problem of counterfeit pharmaceuticals, both globally and in the United States. It looks at the impact this crisis is having both on public health and the pharmaceutical industry. Today, leaders in both the pharmaceutical industry and government are looking to more stringent regulations and RFID (radio frequency identification) tagging of pharmaceuticals as a way to head-off the problems associated with an increasingly leaky drug supply chain. This article outlines the steps being taken in the United States to help secure this vital supply chain. Finally, an analysis is given of the impact the shift to electronic pedigrees of pharmaceuticals will have both on the pharmaceutical and RFID marketspaces. THE GLOBAL EPIDEMIC OF COUNTERFEIT DRUGS The World Health Organization (WHO) estimates that as much as 10 percent of the global pharmaceutical market - a halftrillion-dollar marketplace - is counterfeit. In some countries, the WHO estimates that 25 percent or more of the entire drug supply is counterfeit. The New York City-based Center for Medicines in the Public Interest recently predicted that by 2010, counterfeit drug sales will reach $75 billion worldwide, almost doubling from the estimated counterfeit sales in 2005. The FBI (Federal Bureau of Investigation) estimates that the financial impact of counterfeit drugs on U.S. companies is $30 billion a year (Brooks, 2006; Eban, 2006). Today, the toll of counterfeit drugs is mounting worldwide: * Last year in Hamilton, Ontario, Canada, Abadir Nasr, a retail pharmacist, was arrested for dispensing counterfeit doses of Norvasc® to heart patients - pills filled with only talc. The local coroner investigated five patient deaths - all caused by a heart attack or stroke - that may have been brought about by the substitution of the counterfeit drug (Pitts, 2005). * Within the last year, counterfeit versions of three popular drugs - Lipitor® for cholesterol, Cialis® (for erectile dysfunction) and Reductil® (for obesity) have surfaced in England. One British expert, Graham Satchwell, has estimated that 100,000 counterfeit drug imports are dispensed by the National Health Service annually (Eban, 2006). * Lipitor® is a cholesterol reducing medication taken by more than 600,000 Americans, making it the most widely prescribed drug in the country. The U.S. Food and Drug Administration (FDA) announced on August 31, 2005 that it had busted a Lipitor counterfeiting ring that was trafficking almost $50 million worth of the drug (Gottlieb, 2005). …

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.010
GPT teacher head0.275
Teacher spread0.265 · 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