An Initial Experience with Telemedicine in Follow-up Burn Care
Bibliographic record
Abstract
Following care in a burn unit, regular outpatient visits with burn specialists are required. The practical use of telemedicine in this context is unknown. The objective of this study was to evaluate patient and physician satisfaction with teleconsultations in follow-up burn care and to assess the costs and benefits of these teleconsultations. Fourteen teleconsultations were conducted between a burn physician and a patient at a remote site. Patients and the physician completed evaluation questionnaires for each teleconsultation. Time-related and financial costs of the consultation service were also determined. Patients were very satisfied with their teleconsultations and found them more economical and time efficient than in-person visits. The consulting physician felt teleconsultations were as satisfactory as clinic visits for the purposes of diagnosis and burn management. Our results support the ongoing use of telemedicine in the follow-up care of burn patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".