Corona Virus Global Health Transformation to Telemedicine, the Quality-of-Service Provision, and the Cybersecurity Challenges
Bibliographic record
Abstract
The telecommunications industry in last decade went through the dramatic changes motivated by mobility, wireless technologies, and miniaturization. The current advances in internet, information communication technologies (ICT), cloud computing and smart ubiquitous computational devices create platform for ubiquitous access to patients’ medical record(s), while enabling multi-point live video supported patient care and post-discharge consultations. The continuous increase in the complexity and the heterogeneity of healthcare telecommunications infrastructures requires reliable methodology to assess the quality of service and cybersecurity provision. In this paper, the authors discuss the importance of provision of quality of service and cybersecurity in the field of medical care and electronic healthcare management. The main motivation to present our paper is to discuss the use of data communications, internet, cloud and smart ubiquitous computational devices in medical field while presenting possible scenarios related to ubiquitous access to patient's electronic health record and remote control of medical surgical robots via internet and smart ubiquitous computational devices. The message of the paper is to stress the importance of cyber security in the field of telemedicine to-day and tomorrow. The controlling of smart ubiquitous computational devices, patient's electronic health record and surgical robots are quite new applications in medical practice, and little is known about the possible scenarios that may be triggered by cyber security. The data from the medical devices, control data of the robot and patient's electronic health record are transmitted via data communications networks and internet. As such, the quality of service provision and proper cyber security solutions are essential to patient's safety and security. The paper presented the importance of quality-of-service and cybersecurity provision in the emerging technologies and data sources that are essential for providing reliable and high quality clinical care and operation of the public health care system not only in Canada and South Korea but worldwide.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".