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Record W3035627608 · doi:10.30770/2572-1852-102.1.16

Medical Regulation

2016· article· en· W3035627608 on OpenAlexaboutno aff
Carrie Ho Kwan Yam, Siân Griffiths, S. Liu, Eliza Lai‐Yi Wong, Vincent CH Chung, Eng‐Kiong Yeoh

Bibliographic record

VenueJournal of Medical Regulation · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationGeneral partnershipGovernment (linguistics)TypologyHealth carePublic relationsChinaPolitical sciencePublic administrationEconomic growthBusinessSociologyLaw

Abstract

fetched live from OpenAlex

The licensing and regulation of physicians is an important topic worldwide and is often tied to discussions in various countries of health care system reform. We conducted a review of current practices for regulating physicians as a key group of health care professionals in eight jurisdictions in Asia and other parts of the world in order to draw implications for the development of future regulatory policies in Hong Kong. Jurisdictions studied included Australia, Canada, China, Malaysia, New Zealand, Singapore, the United Kingdom and the United States. A literature search, supplemented by interviews, was conducted. In analyzing information gathered about global regulatory systems, we used a framework for comparing regulatory typology, developed by the RAND Europe research institute. Our review found that the jurisdictions studied exhibited both similarities and differences in terms of how physicians are regulated and by whom. As a result of our search, we were able to identify 10 key trends in international medical regulation of importance to Hong Kong as it considers reforms to its health care system overall:Changes in medical regulation are seen as a way of improving the quality of patient care.Reform of medical regulation often requires government legislation.The creation of common principles for policies, structures and the organization of regulation between professions is an emerging practice.The involvement of lay people on boards and in inquiries is increasingly common.Medical regulation is moving away from models of self-regulation and toward regulatory models that emphasize partnership between professions and the public, physicians and patients.Health care providers and institutional regulators play complementary roles in medical regulation.Regulation impacts the quality of care — not just the detection and remediation of poor performance.Investigatory and disciplinary functions are increasingly separated and organized independently of each other.Continuous Professional Development (CPD) is compulsory for physicians in many jurisdictions.Overseas medical graduates are admitted into practice in different ways from country to country.These trends are important for regulators in all countries to note as they assess the basic structure and effectiveness of their own medical regulatory systems.

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)0.011
metaresearch head score (Gemma)0.040
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: Editorial · Consensus signal: none
Teacher disagreement score0.075
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.040
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.007
Scholarly communication0.0070.005
Open science0.0030.004
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0750.025

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 head0.125
GPT teacher head0.521
Teacher spread0.396 · 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
GenreEditorial

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

Citations11
Published2016
Admission routes1
Has abstractyes

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