How New Technologies Could Help Improve Healthcare, Teaching, and Sensitization During Pandemics Like COVID-19

The COVID-19 pandemic has, over the last few months, forced us to modify the way we interact with each other both in the delivery of healthcare services and in medical education. Nowadays, telehealth has globally emerged as the most appropriate approach for care, teaching, healthcare professional meetings, and advocacy. This chapter outlines the value of telemedicine, information and communication technologies during such critical situations. The authors draw in this report various experiences from countries belonging to different economic categories and describe how ICT could be a convenient solution in care, monitoring of symptom, treatment management, teaching, sensitization, and continuing education during the epidemic period of COVID-19. In conclusion, with countries facing challenges in dealing with the current situation, they need to encourage the use of ICT in remote health services and to share relevant data for the prevention, mitigation, and monitoring of the pandemic.

Offshore Health Innovations

Objectives/Scope Analysis of 15 years results of remote occupational health care in oil and gas production industries. Methods, Procedures, Process Continuous observation, statistical analysis of morbidity, mortality, and treatment results in industrial personnel at different endpoints depending on the variability of care models. Cost-efficacy analysis of several occupational health interventions. Targeted polls of Customers. Dynamics of new Customers. Results, Observations, Conclusions The best practices which provide the maximum efficacy include risk assessment and risk management, action planning for emergencies, telemedicine, education, registry maintenance. Each of all these gave a 10-100-fold rise in Customer satisfaction, seriously improved medical statistics. Telemedicine implies both: the delivery of highly specialized diagnostic technologies directly to the industrial production site, where a GP or paramedic is present, and it implements the direct replacement of medics with gadgets at the patient's bedside. Education involves hands-on training for both industrial personnel at remote sites and for medical professionals who provide care. The 2020-21 COVID19 pandemic was a great real stress test for remote health models when systemic integrated management procedures played a pivotal role in ensuring smooth industry operation due to the high quality of back medical services. Novel/Additive Information Modern efficient models of medical care for remote industries are necessarily comprehensive, modular, adaptive, and rely on personnel health registers. Remote health practices gain a 5-15% rise in price every year, but it pays off in greater labor productivity and in improving the health of industry personnel.

Deep Learning of Speech Data for Early Detection of Alzheimer’s Disease in the Elderly: Preliminary Study (Preprint)

BACKGROUND Alzheimer's disease is the most common form of dementia, and it is a disease that makes it difficult for patients and their families due to various symptoms. For these reasons, early detection is very important, and after early detection, symptoms can be alleviated through medication and treatment. OBJECTIVE Since Alzheimer's disease strongly induces language disorders, our research goal is detecting Alzheimer's disease quickly and easily through the analysis of language characteristics. METHODS Using the Mini-Mental State Examination for Dementia Screening (MMSE-DS), which is the most used in Korean public health centers, negative answers were obtained according to the questionnaire. Among the acquired voices, significant questionnaires and answers were selected, spectrogrammed, and converted into MFCC. After accumulating significant answers, training data was created, augmented, and then trained on various deep learning models and the results were observed. RESULTS Due to the lack of data, the results of the five-fold cross validation were more significant than the holdout method. the accuracy of separating AD patients from the control group using Densnet121 was 91.25%. CONCLUSIONS In this regard, the potential for remote health care can be increased by simplifying the AD screening process. By facilitating remote health care, the proposed method is expected to enhancing the accessibility of AD screening and increase the rate of early AD detection. CLINICALTRIAL IRB No. CNUH2019-02-068

Artificial inteligence and its use in the process of providing health care

In the article, the author discusses the issue of electronic health care with a focus on telemedicine. The first part of the paper provides an overview and explanation of the basic related concepts, which are electronic healthcare and e-health, telemedicine and health care. In this part, the author also summarizes the relevant legislation. The author also presents the performance of telemedicine in the conditions of the Slovak Republic. Above all, the author asks which legal institutes are affected by another way of providing health care, which is distance medicine? The author gradually analyzes selected issues, namely instruction and informed consent, making audio or video-audio recording, recording telemedicine performance in medical documentation and payment for such performance. The conclusion of the article is devoted to summarizing and pointing out the threats and challenges of telemedicine, which the author considers the use of private communication platforms, the related violation of cyber security and the use of artificial intelligence. Key words: electronic healthcare, e-health, telemedicine, remote medicine, remote health care provision.