Evaluating paediatric orthopaedic teleradiology services at a tertiary care centre
Bibliographic record
Abstract
Telehealth services are innovative healthcare strategies that utilize communication technologies to improve healthcare access for patients. Teleradiology is a form of telehealth service that involves the transmission of radiological images, such as x-rays, CTs and MRIs, from one location to another to share patient information with other physicians. The purpose of this study was to assess teleradiology consultations for orthopaedic patients at a paediatric tertiary care centre. A retrospective review was conducted of patients who received teleradiology consultations with a single orthopaedic surgeon from 2015 to 2018 through the paediatric orthopaedic hip clinic at our institution. Teleradiology consultations involved follow-up radiographic imaging at a local community facility for patients who initially received healthcare services at our institution, followed by a telephone consultation to review imaging results and communicate next steps in care. Data collected included patient demographics, imaging type, facility location and distance from our institution. Eighty patients (F = 66, M = 14) who received teleradiology services were reviewed. Mean age was 3.5 years [95% confidence interval (CI): 2.5-4.4] at time of imaging. The average distance from community facilities to our institution was 1167 km (95% confidence interval: 920-1414), a measure of the total distance saved in travel for each patient in a single direction. The travel distance saved was substantial. Paediatric orthopaedic teleradiology services provide families specialized consultations and care continuity without costly travel. With increased implementation of teleradiology services, more patients and families can remain in their home communities while receiving the same quality of 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 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".