Regional Health System Coordination via a Hospital Association: A Successful Model for Managing Downstate New York's Second COVID-19 Wave
Why this work is in the frame
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Bibliographic record
Abstract
Based on the experiences and lessons of its first COVID-19 patient surge in spring of 2020 (Wave 1), the New York hospital community recognized the importance of preparation and coordination for the anticipated winter 2020-2021 surge (Wave 2). This case study describes the coordination function of the Greater New York Hospital Association in downstate New York during the second wave, carried out using 4 key elements: enhanced situational awareness coupled with proactive outreach, partnerships between independent hospitals and health systems, frequent coordination meetings with hospitals, and routine coordination meetings with the Governor's Office and the New York State Department of Health. Given the existing relationships, functions, and support structures of hospital associations, this type of collaborative structure between state government and an association can be valuable in any situation that broadly impacts a state's healthcare community.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it