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Record W1560004279 · doi:10.22230/cjc.2007v32n3a1914

Les défis que soulève l’informatisation de la pratique médicale sur le plan de l'innovation technologique

2007· article· fr· W1560004279 on OpenAlexaffvenue
Luc Bonneville, Sylvie Grosjean

Bibliographic record

VenueCanadian Journal of Communication · 2007
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Résumé : Dans cet article, nous explorons les multiples défis soulevés par l’informatisation du travail médical à partir de la problématique de la mise en place du virage ambulatoire dans le secteur de la santé. Nous montrons que le processus d’innovation technologique au sein des organisations de soins repose trop souvent sur une logique technico-économique, sous-estimant le rôle du professionnel de la santé en tant que porteur de pratiques. Nous mettons l’accent sur l’idée, forte, qu’il y a nécessité pour ces organisations de repenser le processus d’innovation technologique en intégrant une logique médico-intégrative fondée sur un modèle organisationnel de collaboration entre des sujets aux domaines d’expertise complémentaires (professionnels de la santé, gestionnaires, administrateurs, promoteurs de nouvelles technologies, ingénieurs et informaticiens, etc.), c’est-à-dire un modèle qui permet d’aller à la rencontre de « l’usager réel » et qui ne se limite pas à penser un « usager modèle ». D’où le modèle intégratif sur lequel nous insistons, qui repose à la fois sur le rôle central des professionnels de la santé dans le processus d’innovation technologique comme experts de leur quotidienneté et sur la prise en compte des enjeux technologiques et économiques auxquels sont confrontées les organisations de soins. Finalement, nous posons la nécessité de repenser la communication dans les organisations de soins. Abstract: In this article, based on the problem of the shift to outpatient care in the healthcare sector, we explore the multiple challenges raised by the computerization of medical work. We show how the process of technological innovation within health organizations too often rests on a technical-economic logic, thereby underestimating the role of health practitioners as the ones who communicate practices. We focus on the idea that it is necessary for these organizations to rethink the process of technological innovation by integrating a medical-integrative logic based on an organization model of collaboration between subjects from different areas of expertise (health professionals, managers, administrators, promoters of new technologies, engineers and computer experts, etc.), that is to say, a model that reaches out to the “real user” and that is not limited to picturing a “model user”. This is why we insist on an integrative model, which is based on health professionals as experts of their daily work, playing a central role in the process of technological innovation as well as on the consideration of the technological and economic processes that health organizations are confronted with. Ultimately, we propose that it is necessary to rethink communication between health care organizations.

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)0.046
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.079
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0050.030
Scholarly communication0.0310.021
Open science0.0030.010
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0100.003

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 head0.097
GPT teacher head0.415
Teacher spread0.319 · 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 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

Citations13
Published2007
Admission routes2
Has abstractyes

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