BCU TigerLAB BITES! Dr Erez Yerushalmi; Telemedicine
Bibliographic record
Abstract
Compared to traditional in-person healthcare delivery, telemedicine is characterized as the ability to remotely access healthcare services using information and communication technologies (ICT). The COVID-19 pandemic has acted globally as a force of rapid digital transformation across many business sectors including how people access healthcare. Increasingly, many primary and special healthcare consultations are moving towards remote consultations and services. \n \nIn this video, Dr Erez Yerushalmi discusses his research on this topic. Erez reports on his research findings whereby he uses an economy-wide computable general equilibrium (CGE) model calibrated to the Canadian economy. The model integrates endogenous labour-leisure substitution and simulates an increase of teleconsultations from the current 4% in Canada, to a potential of 10% to 50%. Because teleconsultation saves time, it raises the potential for work and leisure, which would raise welfare by around CAD 5 billion a year. \n \nSee further details on Erez’s research: http://www.open-access.bcu.ac.uk/12778/
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.016 | 0.016 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.002 |
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".