Improving Access to Oncology Care for Individuals and Families through Telehealth
Bibliographic record
Abstract
Telemedicine, or the use of information communication technology (ICT) for medical diagnosis and patient care, is an innovative method of health service delivery. It offers opportunities and challenges for clinicians, consumers and health care organizations. In British Columbia, specialized oncology health care services are provided to cancer patients at one of the five Regional Cancer Centers of the B.C. Cancer Agency (BCCA). The burden and stress of travel for rural patients as well as the increasing demand for specialized cancer care services prompted us to explore telemedicine as an alternative health service delivery method for these patients. This article will outline a research study undertaken in partnership with the Vancouver Island Health Authority (VIHA), Provincial Services Health Authority (PHSA) and the University of British Columbia. Implementation and sustainability of a telehealth program requires an examination of organizational, health care system and technical readiness. Barriers to uptake include human factors and infrastructure requirements. A systematic approach optimizes the successful implementation of a telehealth program.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.052 | 0.009 |
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".