Wound Center Without Walls: The New Model of Providing Care During the COVID-19 Pandemic.
Bibliographic record
Abstract
The COVID-19 pandemic poses a major challenge in delivering care to wound patients. Due to multiple comorbidities, wound patients are at an increased risk for the most extreme complications of COVID-19 and providers must focus on reducing their exposure risk. The Federal, State, and local governments, as well as payers, have urged hospitals and providers to reduce utilization of nonessential health services, but they also have given more flexibility to shift the site of necessary care to lower risk environments. Providers must be prepared for disruption from this pandemic mode of health care for the next 18 months, at minimum. The wound provider must accept the new normal during the pandemic by adapting their care to meet the safety needs of the patient and the public. The Wound Center Without Walls is a strategy to untether wound care from a physical location and aggressively triage and provide care to patients with wounds across the spectrum of the health system utilizing technology and community-centered care.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".