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Record W2748261832 · doi:10.12927/hcq.2017.25226

Six Change Ideas that Significantly Minimize Alternative Level of Care (ALC) Days in Acute Care Hospitals

2017· article· en· W2748261832 on OpenAlexaffabout
Paula Chidwick, Jill Oliver, Daniel Ball, Christopher M. Parkes, Terri Lynn Hansen, Francesca Fiumara, Kiki Ferrari, Cindy Hawkswell, Karyn Lumsden

Bibliographic record

VenueHealthcare Quarterly · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsHome and Community Care Support ServicesWilliam Osler Health System
Fundersnot available
KeywordsCLARITYConfusionHealth careMedicineQuality managementQuality (philosophy)Scripting languageAcute careNursingHealth administrationPublic healthMedical emergencyPsychologyBusinessPolitical scienceComputer scienceMarketing

Abstract

fetched live from OpenAlex

A significant issue affecting the healthcare system across Ontario is the number of patients admitted to hospitals that are then subsequently being designated alternate level of care (ALC). In 2016, 14.5% of Ontario in-patient beds were occupied by ALC-designated patients. Contributing to this phenomenon are ethical errors that can affect decision-making around discharge. Since 2012, William Osler Health System has redesigned their discharge process to eliminate ethical errors and align more fully with the Health Care Consent Act (HCCA) and the Public Hospitals Act (PHA). Through quality improvement processes including the use of scripting, education, checklists, mentoring and role clarity, Osler's ALC days are currently the lowest in the province of Ontario. The elimination of such errors also decreased patient confusion and improved the discharge experience.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.270
GPT teacher head0.476
Teacher spread0.207 · 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 designQualitative
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

Citations5
Published2017
Admission routes2
Has abstractyes

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