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Record W4404131720 · doi:10.1177/08404704241294220

Comprehensive redesign of a rehabilitation program at Runnymede Healthcare Centre

2024· article· en· W4404131720 on OpenAlexaff
Karimah Alidina, Phuntsok Namgyal, Joanna Armatys

Bibliographic record

VenueHealthcare Management Forum · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Change and Leadership
Canadian institutionsWest Park Healthcare Centre
Fundersnot available
KeywordsRehabilitationHealth careBusinessProcess managementNursingMedicinePhysical therapyPolitical science

Abstract

fetched live from OpenAlex

The redesign of the rehabilitation program at Runnymede Healthcare Centre (RHC) was designed to enhance patient care, staff satisfaction, and rehabilitation capacity. Aligned with RHC's strategic vision to become a centre of excellence for ageing and wellness, the initiative introduced a range of initiatives such as group therapy models, specific, measurable, achievable, relevant and time-bound rehabilitation goals, and enhanced leadership practices under the healthy engagement of older adults in rehabilitation therapy philosophy. Evaluation was integral to the initiative, with patient satisfaction, staff engagement, and key performance indicators continuously measured. Patient satisfaction scores, operational efficiency metrics, and staff engagement scores improved considerably. This project exemplifies how structured change management and embedded evaluation can lead to sustained improvements in patient care, staff experience, and rehabilitation outcomes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.283
Teacher spread0.247 · 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.

Study designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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