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Record W3127769854 · doi:10.1177/2374373521989245

The Provincial Patient and Family Group (PFG) for Alberta Health Services Transforms How Care is Planned and Delivered: A Decade of Experience

2021· article· en· W3127769854 on OpenAlexaffabout
Deanna Picklyk, Shawn Volk, Katharina Kovacs Burns

Bibliographic record

VenueJournal of Patient Experience · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsGeneral partnershipHealth careBusinessHealth servicesNursingPublic relationsMedicineFamily medicinePolitical scienceEconomic growthEnvironmental healthFinanceEconomics

Abstract

fetched live from OpenAlex

Although many health care organizations made significant headway in building relationships with patients and families at the point of care, there continues to be opportunities to partner with them at the system level. One such opportunity is the Patient and Family Advisory Group (PFG) at Alberta Health Services (AHS). Developed 10 years ago as a formal group of patient and family volunteers, PFG has provided advice on over 350 key organization initiatives, including the Patient First Strategy and the Family Visitation policies and guidelines. Through the formal partnership with PFG and its members who bring their lived experiences with the health system and its services, AHS has demonstrated its commitment to designing and improving services with the user in mind. Now entering its second decade, PFG, supported by AHS leadership, continues to explore new strategic approaches with internal and external stakeholders to reinforce the importance of Patient and Family-Centered Care.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.667

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.010
Scholarly communication0.0060.002
Open science0.0020.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.000

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 head0.053
GPT teacher head0.367
Teacher spread0.314 · 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 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

Citations1
Published2021
Admission routes2
Has abstractyes

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