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Record W2062101839 · doi:10.1258/jhsrp.2008.007173

What leads to better health care innovation? Arguments for an integrated policy-oriented research agenda

2008· article· en· W2062101839 on OpenAlexaff
Pascale Lehoux, Bryn Williams–Jones, Fiona A. Miller, David R. Urbach, Stéphanie Tailliez

Bibliographic record

VenueJournal of Health Services Research & Policy · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of TorontoUniversité de Montréal
FundersUniversity of Pittsburgh
KeywordsPaceUpstream (networking)Relevance (law)Downstream (manufacturing)Health careSustainabilityPerspective (graphical)Bridge (graph theory)UsabilityPublic relationsHealth policyProcess (computing)BusinessPolitical scienceKnowledge managementMarketingEconomicsComputer scienceMedicineEconomic growth

Abstract

fetched live from OpenAlex

This essay is based on the recognition that the current 'downstream' health services research and policy approach to innovation misses the mark on one crucial point. It has not addressed how to promote the design of innovations that are likely to be more valuable than others. Re-visiting the ways in which health services research could inform innovation processes, this paper suggests that three attributes make innovations especially compelling from a health care system perspective: relevance; usability; and sustainability. These could be used as a starting point for outlining a policy-oriented research agenda that could bridge upstream design processes, and downstream needs and priorities. Given the pace at which innovations come about and the complexity of health care systems, we believe that both research and policy should be able to contribute significantly to the shaping of socially valuable technological change in health care. Recognizing that such a long-term goal cannot be reached through a linear, rationalistic process, our paper offers preliminary arguments to start to reconcile the health policy and innovation agendas.

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)0.083
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0830.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0100.006
Science and technology studies0.0020.000
Scholarly communication0.0000.003
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 head0.574
GPT teacher head0.607
Teacher spread0.033 · 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

Citations73
Published2008
Admission routes1
Has abstractyes

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