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Record W3183002265 · doi:10.51731/cjht.2021.80

An Overview of Direct-to-Patient Virtual Visits in Canada

2021· article· en· W3183002265 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Health Technologies · 2021
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careVideoconferencingPhoneThe InternetInternet privacyHealth literacyLanguage barrierBusinessNursingMedicineMedical emergencyPolitical scienceComputer scienceMultimediaWorld Wide Web

Abstract

fetched live from OpenAlex

Direct-to-patient virtual visits are a way of providing health care to patients in their location of choice, using technology (e.g., phone, text messaging, video conferencing). The use of virtual visits has the potential to overcome many of the barriers associated with in-person care, including improved access, convenience, and cost savings. Many communities that are underserved by in-person care also face barriers to virtual care. There is a risk that current health inequities will be exacerbated if barriers such as, for example, reliable access to an internet-connected device, technology literacy, and language barriers are not addressed. Virtual visits have been used safely and effectively for many types of health care visits. There is a lack of evidence on the cost-effectiveness of virtual visits. Regulations regarding the provision of virtual visits are needed to uphold equitable access to publicly funded health care as mandated by the Canada Health Act.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.055
GPT teacher head0.357
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it