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Record W4412192315 · doi:10.1177/08404704251348375

Simulation-based mock-up evaluation to inform the design of a complex continuing care centre

2025· article· en· W4412192315 on OpenAlexaffabout
Jonas Shultz, Mike Rickson, Joanne McGarva, Penny S. Reynolds, Eleanor Risling, Katelyn Wiley

Bibliographic record

VenueHealthcare Management Forum · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsAlberta HealthUniversity of CalgaryCapitalCare FoundationAlberta Health Services
Fundersnot available
KeywordsHealth careObservational studyProcess (computing)Quality (philosophy)Patient safetyNursingProcess managementBusinessMedicineComputer science

Abstract

fetched live from OpenAlex

There is a growing trend to conduct simulation-based mock-up evaluations as part of the process to design healthcare facilities. Health Quality Alberta (HQA) has published a framework to provide guidance for organizations wanting to integrate this evaluation methodology into their healthcare facility design process. Several national and international hospital design standards recommend using the framework. Simulation-based mock-up evaluations of various rooms (client rooms, washrooms, medication rooms, and dialysis stations) planned for a new complex continuing care facility were conducted. Healthcare delivery organizations CapitalCare, Alberta Health Services, and HQA conducted the evaluations collaboratively. The evaluations were intended to inform design modifications to enhance client and staff safety for the unique cohorts to be served at this continuing care centre. Observational assessments and staff/client engagement informed evidence-based recommendations that were incorporated into the planned design of the facility.

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)0.098
metaresearch head score (Gemma)0.102
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.517

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.102
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.003
Scholarly communication0.0040.003
Open science0.0040.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.463
GPT teacher head0.630
Teacher spread0.167 · 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 designSimulation or modeling
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

Citations0
Published2025
Admission routes2
Has abstractyes

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