Telemedicine: An Evolving Field in Hepatology
Bibliographic record
Abstract
Healthcare delivery has been dramatically changing in recent times with advances in technology. One area of expansion has been the use of telemedicine due to progression in communication technologies. Telemedicine offers the opportunity to overcome barriers of access, improve patient satisfaction, improve healthcare outcomes and streamline communication between patients and providers. The primary modalities of telemedicine can be grouped into categories of 'remote monitoring,' 'store and forward' and 'interactive telemedicine.' These modalities of telemedicine have been practiced and explored within the scope of hepatology such as in liver transplantation, hepatocellular carcinoma and management of chronic hepatitis C (CHC). There are numerous telemedicine-based CHC management studies and programs that have developed in New Mexico, the Department of Veterans Affairs, as well as globally in Australia and Canada. In Northern California, the University of New Mexico telemedicine-based model of 'ECHO' has been extended to develop community-based champions to screen-link-treat CHC patients with the goal to eliminate hepatitis C. Despite the advantages to telemedicine, there are still many barriers to seamless integration due to reimbursement and up-front cost. Nevertheless, it remains an essential part in providing world-class care to liver patients across geographic and economic barriers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, not a consensus.
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".