Rinaldo’s role in the medical emergency team and rapid response systems
Bibliographic record
Abstract
In the 1990s, there was emerging evidence that patients admitted to hospitals frequently suffered in-hospital cardiac arrest, unplanned admission to the intensive care unit (ICU), and potentially preventable in-hospital death. These events were often preceded by objective signs of instability and suboptimal recognition and response by hospital ward staff. Rinaldo Bellomo collaborated with key Australian and international leaders to develop a novel and paradigm-shifting model of care referred to as the medical emergency team (MET). This team is comprised of senior staff members who are experts in the assessment and management of acutely deteriorating patients. In Australia and New Zealand, staff members from the ICU are frequently the team leaders for the MET. The team is called when a patient develops objective signs of clinical deterioration, prior to the onset of cardiac arrest. Rinaldo led, mentored, and supervised a systematic and structured research program that evaluated the nature and effectiveness of the MET at Austin Health and throughout Australia. This commenced with single-centre before-and-after studies and progressed to the first Australian ICU cluster-randomised controlled trial. His unique skillset was pivotal in the emergence and promulgation of this model of care worldwide resulting in countless lives saved from preventable morbidity and mortality.
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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 | 0.002 | 0.006 |
| 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".