Success and failure in establishing national physician databases: a comparison between Canada and Israel
Bibliographic record
Abstract
Physician databases constitute an essential component of health workforce planning. However, while some countries have established functioning national physician databases, others have failed to do so. We compared the healthcare systems of two technologically and economically developed countries, Canada and Israel, which represent cases of respective success and failure in establishing physician databases. A comparative analysis was conducted using a historical-institutionalist approach to examine contemporary health policy outcomes. White papers, studies on healthcare human resources, and reports by professional committees were examined to explore the aims, interests, positions, and actions of stakeholders. In Canada, state-medical profession cooperation, deep-rooted in a longstanding regulatory bargain between the two parties, has facilitated the creation and management of physician databases, albeit limited and in need of urgent improvement, on national and jurisdictional levels. The lack of such regulatory arrangement coupled with enduring conflicted relations between stakeholders due to particular historical developments have hindered the development of an Israeli equivalent database so far. Finally, health policy outcomes may be explained against the backdrop of broader political, governance, and organisational contexts. How medical organisations respond to governmental healthcare initiatives is heavily influenced by their institutional position vis-à-vis the state, shaped by historical processes and regulatory arrangements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".