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Record W2163067383

Re-designing Hospital Care: Learning from the Experience of Hospital Medicine in Canada

2011· article· en· W2163067383 on OpenAlexaffabout
Vandad Yousefi, David A. Wilton

Bibliographic record

VenueJournal of Global Health Care Systems · 2011
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsLakeridge Health
Fundersnot available
KeywordsSpecialtyMedicineHealth careHospital medicineQuality (philosophy)Inpatient careHealthcare deliveryHealthcare systemFamily medicineNursingPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The emergence of the hospitalist model (a model of inpatient care delivery by physicians referred to as hospitalists who spend the majority of their time in the hospital setting) has been a major development in the Canadian healthcare landscape over the past decade. Similar to the United States, the number of hospitalist programs in Canada has grown exponentially since the late 1990's. More recently, the model is being adopted in other countries such as Singapore and Brazil. The Canadian hospitalist model is still evolving, but its development can provide learning opportunities for policy makers and healthcare practitioners in other countries who are developing their own versions of this health delivery model. This article provides a comparative overview of the development of hospital medicine (an emerging medical specialty dedicated to the delivery of comprehensive medical care to hospitalized patients) in Canada and the United States and proposes strategies for more effective integration of Canadian hospitalists into the medical establishment. It outlines the results of national hospitalist surveys in Canada and discusses some of the main challenges and opportunities facing its adoption. National surveys have demonstrated an increase in the number of physicians providing hospitalist care in Canada. There is increasing evidence for the effectiveness of the hospitalist model in enhancing the efficiency of resource utilization and improving quality of care indicators. Hospitalists across North America are increasingly taking part in quality improvement initiatives and establishing themselves as major contributors to the broader healthcare system. Despite their success, Canadian hospitalists continue to face challenges gaining acceptance for alternate funding models, establishing sustainable working conditions, and overcoming criticisms of discontinuity of care by improving communication with other physician groups. Healthcare leaders in other parts of the world that are looking to develop hospitalist programs need to consider such challenges to ensure successful adoption of this emerging inpatient care model.

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)0.013
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.253
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0440.023
Scholarly communication0.0140.005
Open science0.0050.010
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.298
Teacher spread0.282 · 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 designObservational
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

Citations7
Published2011
Admission routes2
Has abstractyes

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