Identification of Intensive Care Unit (ICU) System Integration Conflicts: Evaluation of Two Mock-up Rooms Using Patient Simulation
Bibliographic record
Abstract
To address increasing patient demands and acuity, the Calgary Health Region is renovating the intensive care units (ICU) at three of their adult acute care sites. Before finalizing the design plans, mock-up rooms were created at two of the sites according to several proposed room designs in order to identify potential issues during the design phase of the project. All necessary equipment was included within each of the two mock-up rooms so as to nearly replicate a functioning ICU. Evaluations of equipment, room layout and conflicts were accomplished using patient simulation of a cardiac arrest, an acutely ill patient, a palliative care patient and the admission of a new patient. Digital videos, think aloud audio tracks and extensive debriefing sessions were combined and analyzed. Specific category issues were identified including the articulating arms, visibility of the patient monitors, equipment usability, collisions with equipment, and communication issues. Elaboration of each issue and presentation of design recommendations is given.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".