Online Therapeutic Portals for Sharing Health Research: Comparative Guidance amid Regulatory Uncertainty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Online resources offer a uniquely efficient way of sharing health research with scientists and the public. Using web portals to make results and study information available to diverse audiences could work to accelerate research translation and empower patients to play a more active role in their care. But using online tools to broadly share health information raises several challenging ethical and regulatory questions. Issues such as equity, privacy, and patient empowerment may create challenges for regulators, portal developers, as well as researchers. It is additionally unclear whether web portals designed to facilitate access to research results and general health information will be regulated as medical devices under emerging regimes that control software with medical purposes. This paper aims to comparatively address whether online therapeutic portals for sharing health research are likely to be regulated in Canada, the United States, the United Kingdom, and France. We find that though these jurisdictions have each taken recent steps to regulate software as medical devices, the applicable regimes will generally not capture online portals for sharing health research. Though online portals for sharing health research are probably unregulated in many (if not most) jurisdictions, agencies have nevertheless signalled their concerns regarding several important ethical considerations (such as equity, transparency, and safety), to which portal developers and researchers should be attentive and respond. We describe here one set of issues highlighted by regulators – that is, efficiency, equity, transparency, confidentiality, communication, empowerment, training, and safety & efficacy – and consider how to best guide the design of online portals in a context of regulatory uncertainty.
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.
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 | 0.033 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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 it