Abstract P-053: RETROSPECTIVE REVIEW OF THE TRANSITION FROM AN OLD PICU TO A NEW PICU FACILITY
Bibliographic record
Abstract
Aims & Objectives: Retrospective review of the transition from an old PICU to a new PICU facility Methods As part of the BC Children’s and Women’s Hospitals’ Redevelopment Project, we worked collaboratively partnering with an architectural and building consortium in a P3 project, while engaging multiple stakeholders to achieve a detailed design and build of a new, 28 bed single patient room PICU. Our strategies included the utilization of a structured change management framework;Integrated Facility Design;room mock ups;Early Implementation Opportunities; an Education, Training and Orientation Program; innovative nursing roles (Clinical lead and Implementation Specialist); scenario testing and “day in the life”events; and a detailed and rehearsed plan for the physical move. Results The new PICU offers patients, families and staff a high quality, state of the art, healing environment with integrated new technologies. Training and orientation for all clinical and support staff was acheived prior to move in day with a 95% compliance. Newly designed work flows were tested and analyzed pror to clinical service commencement and fully adopted with adjustments following the transition. Conclusions Our journey concluded with the successful move and transition to our new home where we continue to provide excellent care for the sickest children and families of British Columbia. The advancement and improvement of the physical environment for the provision of intensive care for children is in all our interests. In this presentation, we share our most important lessons learned, as we learned from outhrs who went before us, in the building and operationalization of PICUs across the world.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".