Bibliographic record
Abstract
The current status of policies, guidelines and standards related to the organizational context of clinical telehealth practice were investigated. The directions these should take to meet the healthcare needs of Canadians also were outlined. An environmental scan approach was employed, consisting of a literature review, stakeholder survey questionnaire, and 12 key informant interviews. The literature review resulted in 260 sources related to organizational leadership issues, of which 176 were abstracted. The stakeholder survey questionnaire response rate was 64% (156/245), with 55% (84/154) completing the organizational context section. All (100%) key informants who were selected for interviews participated. Findings were categorized into four key organizational themes: organizational readiness, quality assurance, accountability, and continuity. Organizations need to review existing policies, standards, and guidelines in order to determine whether telehealth is covered and, if not, revise them or develop new telehealth-specific policies. Telehealth policies and procedures should be integrated with those in existence for face-to-face services.
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 | 0.038 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".