Transition From a Standard to a Hybrid On-Site and Remote Anatomic Pathology Training Model During the Coronavirus Disease 2019 (COVID-19) Pandemic
Bibliographic record
Abstract
CONTEXT.—: As teaching hospitals institute social distancing and defer nonemergent procedures to cope with the coronavirus disease 2019 pandemic, the need for daily on-site presence, unless necessary, has been reduced for all medical staff, including trainees. Pathology training programs must adapt to these changes to ensure overall safety without significantly compromising training and the educational mission of the institution. OBJECTIVE.—: To describe the hybrid on-site and remote anatomic pathology training model in response to the coronavirus disease 2019 pandemic that was implemented in our pathology department and report the clinical fellows' responses to the survey about their experiences. DESIGN.—: The hybrid model was implemented March 25, 2020. Fellows alternate weekly between working on site and working remotely. On site, fellows wear personal protective equipment and maintain social distancing. Remotely, fellows use digital pathology to review cases and supplement with online educational activities. Virtual "coffee breaks," meditation, and exercise are part of the curriculum. Online platforms, including WebEx, Google Classroom, and Canvas, are used to continue educational activities. The survey was open May 19 through June 8, 2020. RESULTS.—: Twenty-eight of the 29 clinical fellows (96%) responded. Many of the respondents indicated substantial increase in their skill with using digital pathology and online platforms during the pandemic. The top most helpful resources were the United States and Canadian Academy of Pathology interactive microscopy courses (found very or somewhat helpful by 22 of 23 clinical fellows; 96%), ExpertPath (19 of 23; 82%), the College of American Pathologists virtual learning series (18 of 23; 78%), the World Health Organization Blue Books (16 of 23; 70%), the American Society of Cytopathology webinars (14 of 23; 61%), and our institutional digital slide collection (12 of 23; 52%). CONCLUSIONS.—: Hybrid on-site and remote training can maximize anatomic pathology learning opportunities while maintaining the safety of trainees, hospital personnel, and the community.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".