What Is Happenning In Canadian Health Informatics Research and Education
Bibliographic record
Abstract
At federal and provincial levels, there is a heightened systems and technologies, upon which the success of awareness of the importance that Canadians attach to these important initiatives depends.We conclude that information about their health and health services. Canadian health leadership is depending on health The Advisory Committee on Health Infostructure informatics to provide enabling technologies to (ACHI) to the Conference of Deputy Ministers of integrate and improve healthcare. But at the grass Health has, undertaken to develop a strategic plan to roots level, there are few eduQational opportunities for strengthen and integrate healthcare services in every dedicated health informatics training, nor are region of Canada using healthcare technology. The researchers focused in this area. Canadian Institute of Health Information, in collaboration with Statistics Canada and Health There is increasing evidence of health research Canada, has undertaken to develop, share, analyze funding agencies seeking to develop strategies to and disseminate comparative health information using improve information management linked to biomedical the federally mandated Roadmap initiative as its research needs. The biomedical industry is guiding force. There are at least 14 national or increasingly looking to electronic information system provincial organizations interested in healthcare support to improve the cost-effectiveness of new information management and technology. There are at drug or technology development and clinical trial least a dozen health information management projects processes. at the national or provincial level. There are a variety ofinitiatives to develop national or Recognizing that a development of health informatics provincial health information systems. Despite this infrastructure requires a corresponding investment in activity, there are few sites in Canada which focus on human resources, groups in Canada and the United health informatics research. Qualified researchers in States have called for development of health health informatics in Canada are thinly spread across informatics education. Currently, educational activity the country, with few sites approaching a critical is variable across the country and limited to a few mass of expertise. There are few research programs, institutions. However, plans exist to develop or and uneven coverage of the essential content areas. expand the educational activity at a number of There are no dedicated review committees in funding institutions. Most current and planned activities are agencies set up for peer review of research funding in graduate education, and there seems to be little applications in this field. current or planned activity in professional, continuing or applied education. An ongoing initiative to develop health informatics curricula should help to address the need for education in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.080 | 0.098 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.037 | 0.031 |
| Scholarly communication | 0.042 | 0.020 |
| Open science | 0.006 | 0.016 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".