Telemedicine Management of COPD: Advancements in Chronic Disease Treatment and Implications for Medical Education
Bibliographic record
Abstract
Social determinants of health are non-medical, social and economic factors that influence health. The practice of telemedicine enables physicians to virtually connect patients with healthcare resources. Throughout the COVID-19 pandemic, healthcare providers have increasingly utilized telemedicine as a method to provide appropriate care to patients with chronic diseases, including Chronic Obstructive Pulmonary Disease (COPD). COPD is a progressive obstructive lung disorder which is substantially impacted by social determinants of health including access to healthcare. The successful utilization of telemedicine in the care of patients with chronic diseases, including COPD, highlights its emerging importance in healthcare. However, many Canadian medical schools have yet to implement a formalized telemedicine curriculum, and most Canadian students do not feel adequately prepared for virtual healthcare delivery. Here, we outline the utilization of telemedicine in COPD management and advocate for the rapid introduction of a formalized telemedicine curriculum at the undergraduate and postgraduate levels.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".