Protecting the public interest when regulating health professionals providing virtual care: a scoping review protocol
Bibliographic record
Abstract
BACKGROUND: Virtual care is transforming the nature of healthcare, particularly with the accelerated shift to telehealth and virtual care during the COVID-19 pandemic. Health profession regulators face intense pressures to safely facilitate this type of healthcare while upholding their legislative mandate to protect the public. Challenges for health profession regulators have included providing practice guidance for virtual care, changing entry-to-practice requirements to include digital competencies, facilitating interjurisdictional virtual care through licensure and liability insurance requirements, and adapting disciplinary procedures. This scoping review will examine the literature on how the public interest is protected when regulating health professionals providing virtual care. METHODS: This review will follow the Joanna Briggs Institute (JBI) scoping review methodology. Academic and grey literature will be retrieved from health sciences, social sciences, and legal databases using a comprehensive search strategy underpinned by Population-Concept-Context (PCC) inclusion criteria. Articles published in English since January 2015 will be considered for inclusion. Two reviewers will independently screen titles and abstracts and full-text sources against specific inclusion and exclusion criteria. Discrepancies will be resolved through discussion or by a third reviewer. One research team member will extract relevant data from the selected documents and a second will validate the extractions. DISCUSSION: Results will be presented in a descriptive synthesis that highlights implications for regulatory policy and professional practice, as well as study limitations and knowledge gaps that warrant further research. Given the rapid expansion of virtual care provision by regulated health professionals in response to the COVID-19 pandemic, mapping the literature on how the public interest is protected in this rapidly evolving digital health sector may help inform future regulatory reform and innovation. SYSTEMATIC REVIEW REGISTRATION: This protocol is registered with the Open Science Framework ( https://doi.org/10.17605/OSF.IO/BD2ZX ).
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 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 | 0.032 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".