Home Tele-monitoring: Economic and Clinical Impact of the Service for Patients with Chronic Respiratory Disease
Bibliographic record
Abstract
The term “telemedicine” defines “the use of electronic communications technology to provide and support health care for infants, children, adolescents, and young adults when distance separates the practitioner from the patient, parent, guardian, or referring practitioner” (AAP 2004, 639). The pilot study has been involved 71 patients with a telemedicine service of the Unit of respiratory insufficiency of the Regina Margherita Children’s Hospital of Turin follows actually and their caregiver. The scopes are mainly two: the evaluation the potential of control system of functional examination in the various expression of disease, and improvement the knowledge of the perceived quality of the service according the service users, in according to the economic and ethical impact. These variables are able to determine the actual usefulness of the home recorder-ICT device prescription at discharge of these types of patients, or when occur the conditions of necessity, or in case of Centre take charge of new patients. Patients assessed effectiveness home tele-monitoring service and patient’s satisfaction through semi-structured questionnaires.The administering of the questionnaires took place during the day hospital, or during office visits/outpatient visits, or during occasional hospitalizations.The analysis is extended to the economic and budgetary aspects, focusing on comparisons of spending between traditional medicine and telemedicine, investigating whether there is a correlation between patient satisfaction and reduced spending by telemedicineThe analysis of the data showed interesting results in order to improve the type of service offered to these patients, also in term of economic and social results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 source (direct Gemma or distilled Codex), 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".