Framework for Canadian telehealth guidelines: summary of the environmental scan
Bibliographic record
Abstract
A Canadian project (the National Initiative for Telehealth Guidelines) was established to develop telehealth guidelines that would be used by health professionals, by telehealth providers as benchmarks for standards of service and by accrediting agencies for accreditation criteria. An environmental scan was conducted, which focused on organizational, human resource, clinical and technological issues. A literature review, a stakeholder survey (245 mail-outs, 84 complete responses) and 48 key informant interviews were conducted. A framework of guidelines was developed and published as a preliminary step towards pan-Canadian policies. Interim recommendations were that organizations and jurisdictions might consider formal agreements to specify: (1) organizational interoperability; (2) technical interoperability; (3) personnel requirements; (4) quality and continuity-of-care responsibilities; (5) telehealth services; (6) remuneration; and (7) quality assurance processes. An additional recommendation was that flexible mechanisms were needed to ensure that accreditation criteria will be realistic and achievable in the context of rapid changes in technology, service integration and delivery, as well as in the context of operating telehealth services in remote or underserved areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.051 | 0.067 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.026 | 0.034 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.010 | 0.006 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".