WhatsApp Consultations in the Department of Electrophysiology of a Public Hospital of the City of Buenos Aires in Times of COVID-19
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
Background: Coronavirus (COVID-19) pandemic is highly infectious. Telemedicine emerges as an option to keep patients within thehealthcare system.Objective: The aim of this study was to implement WhatsApp consultations during 30 days in a hospital of the City of Buenos Aires(CABA) during the lockdown imposed due to COVID-19.Methods: Consultations via WhatsApp were analyzed for 30 consecutive days. A form was sent prior to telephone consultation withthe specialist. A descriptive analysis of consultations and proposed follow-up plans was carried out.Results: A total of 263 consultations were performed in 205 patients. The average number of telephone consultations was 7.8 messages.The most common topics for consultation were palpitations (12%) and influenza vaccine (11.7%). Follow-up was divided intogroups: 1) Solved via WhatsApp: 154 patients; 2) Referred to a local hospital: 25; 3) Referred to our hospital: 26 patients.Conclusion: Telemedicine via WhatsApp can be developed in public hospitals of CABA, with a substantial reduction of in-personconsultations.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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