Can Remote Patient Management Improve Outcomes in Peritoneal Dialysis?
Bibliographic record
Abstract
Remote patient management (RPM) for patients receiving peritoneal dialysis (PD) is an emerging technology whereby a patients' biometric information (including weight, blood pressure, and other parameters) can be remotely monitored by providers along with important PD treatment information. As part of an evolving field of telemedicine, RPM has the potential to improve clinical outcomes for patients receiving PD, reduce resource utilization, and improve PD uptake, and positively impact a patients' experience with PD. Preliminary reports of RPM are encouraging, however, research in the field is limited to small, single center studies, and remains largely observational; interventions have been heterogenous in terms of what clinical and treatment parameters are being remotely monitored and what outcomes are under evaluation. In the present review, we will describe the evolving field of RPM in PD, discuss potential benefits of the technology while highlighting existing and important future areas for research.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 0.001 |
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".