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Record W2118700300 · doi:10.1186/1744-8603-9-49

Developing global health technology standards: what can other industries teach us?

2013· article· en· W2118700300 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobalization and Health · 2013
Typearticle
Languageen
FieldHealth Professions
TopicQuality and Safety in Healthcare
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersUniversity of TorontoUniversity Health NetworkBill and Melinda Gates Foundation
KeywordsGlobal healthHealth careIntellectual propertyTechnical standardBusinessComputer scienceEconomicsEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: There is a lack of effective and affordable technologies to address health needs in the developing world. One way to address problems of innovation and affordability is to design global health technologies to follow agreed-upon standards. This Debate article argues that we can better develop standards for global health technologies if we learn lessons from other industries. DISCUSSION: The article's Background section begins by explaining why standards are needed in global health. For example, if global health technologies can be modularized into independent interfacing parts, these parts can then interact via well-defined standards in a "plug and play" fashion. This can avoid development of mutually incompatible solutions by different organizations, speed the pace of innovation, unlock health systems from single providers and approaches, and lower barriers to entry. The Background then gives a brief primer on standards and discusses incentives for health standards. The article's Discussion section begins with brief relevant cases of standards development from other industries, including electricity, container shipping, CD standards, Universal Serial Bus (USB), and the Internet. It then explores lessons from these and other industries that suggest how to develop standards for global health technologies. The remainder of the Discussion considers intellectual property and regulatory issues and standards-based global health business models, and ends with a checklist of considerations for health standards development leaders. (The associated Additional file discusses observations from standards development for cell phones and semiconductors, as well as challenges in the standards development process itself.) Throughout the article, point-of-care diagnostics are used as an illustrative example. An initiative is already underway to explore standardized diagnostics platforms. SUMMARY: This Debate article aims to convince the reader that standards can benefit global health technologies if we learn lessons from other industries. The article draws from historical examples and the authors' experiences to suggest principles, challenges, and opportunities in developing these standards. If implemented well, standardized platforms can lower barriers to entry, improve affordability, and create a vibrant ecosystem of innovative new global health technologies.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.642
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.129
GPT teacher head0.494
Teacher spread0.365 · 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