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Record W2424127440

Medical informatics and medical education in Canada in the 21st century.

2000· article· en· W2424127440 on OpenAlexaffabout
Jochen R. Moehr, Alec Grant

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsHealth informaticsHealth Administration InformaticsInformaticsHealth careMedical educationCurriculumPerspective (graphical)Public health informaticsBusiness informaticsMedicineEngineering ethicsKnowledge managementPolitical sciencePublic relationsHealth policyHRHISComputer scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

The advances of health informatics over the last 50 years are briefly sketched to reveal the pervasiveness of their applications in health and health care. The relations to research in health informatics and health are pointed out. From this perspective it is argued that the evolution of consumer health informatics in the last decade has had a profound impact on the practice of medicine, on patient-physician relations and, hence, on the requirements for medical education. The different access to information and how it is used in educational environments will also dramatically affect how curricula are structured both at undergraduate and postgraduate levels. The impact of health informatics on medical education is further elaborated, and the requirements on infrastructure in support of this education are detailed. This infrastructure goes beyond instructional laboratories and includes academic units for medical informatics and, most importantly perhaps, funding resources and adjudication capacity for health informatics research and their integration into the Canadian research organization and the new Canadian Institutes of Health Research.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.341
Teacher spread0.321 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations22
Published2000
Admission routes2
Has abstractyes

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