Determination of the informational content of symptoms in the dynamic processes of assessing the patient’s condition in e-health

The study is devoted to substantiating the tactics of choosing the signs of the patient's condition for diagnostic decision-making on corrective medical intervention in mobile medicine. The aim of the research: to study a creation of a methodology for determining the integral informativeness of the patient's symptoms during remote monitoring of his condition. Materials and methods: this article is based on search results in PubMed, Scopus, MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, Cochrane Library, UK NHS HTA articles published between January 1991 and January 2021 and containing the search terms “information technology”, “Mobile medicine”, “digital pathology” and “deep learning”, as well as the results of the authors' own research. The authors independently extracted data on concealment of distribution, consistency of distribution, blindness, completeness of follow-up, and interventions. Results: concluded that to determine the Informativeness of symptoms in mobile monitoring of patients, it is possible to use risk indicators of predicted conditions as a universal method. Given that the Informativeness of the patient's condition changes constantly, for online diagnosis of conditions during remote monitoring of the patient it is recommended to use the function of informative symptoms from time to time and use a set of approaches to assess the Informativeness of patient symptoms. It is proposed to use the strategy of diagnosis and treatment using probabilistic algorithms based on the values of the risk of complications of the pathological process, as well as the formulas of Kulbach and Shannon to determine individual trends in the pathological patient process. Conclusion: there was proposed to use risk indicators of predicted conditions as a universal method for determining the informational content of symptoms in mobile monitoring of patients.

Mobile medicine (m-health) a potential reserve of the health care system in crisis situations as exemplified by the coronavirus epidemic COVID-19

The article discusses new opportunities to improve the quality of medical care, including for older citizens, when organizing a system of remote dynamic monitoring using methods of preventive, predictive and personalized medicine, including during the epidemic and quarantine events. Objective: to study the benefits of using mobile medicine technologies (m-health) during the fight against coronavirus infection COVID-19. The research method is the analysis and meta-analysis of publications on this topic. The results of the study show the importance of using mobile medicine technologies (m-health) in the structure of medical care for patients at risk and the particular relevance of using these technologies in the development of organizational measures to prevent and control the epidemic, caused, inter alia, by unknown infectious agents.

Personification of the selection of pharmacological treatment of stress and post-stress disorders based on biometric data

Scientific researches have proven the pathogenetic relationship between stress and the development of a wide range of diseases. The impact of stress to the development of somatic diseases is well known, but greatly underestimated, since the treatment of stress and the correction of its consequences is an important aspect in the prevention and treatment of any, even infectious diseases, which was proved during the COVID-19 pandemic in 2020. The introduction of individual mobile medicine devices (M-Health) into a wide medical practice makes it possible to provide not only remote monitoring of the patients condition, but also to conduct remote treatment, with the selection and correction of drug therapy based on objective biometric data.

COVID-19 Exposure Tracking Within Public Health & Safety Enterprises:

Where there is limited access to COVID-19 tests, or where the results of such tests have been delayed or even invalidated (e.g., California and Utah), there is a need for scalable alternative approaches—such as a heuristic model or “pregnancy test for COVID-19” that can factor in the time denominator (i.e., duration of symptoms). This paper asks whether infection among these public health and safety agencies is a "canary in the coal mine," litmus test, or microcosm (pick your analogy) for the communities in which they operate. Can COVID-19 infection counts and rates be seen “moving around” communities by examining the virus’s effect on emergency responders themselves? The troubling question of emergency responders becoming “human indicator values” is relevant to maintaining the health of Mobile Medicine (EMS and Fire) personnel, as well as Police, who are an under-attended population, because without them our collective resiliency would crash. It has further implications for policies regarding, and investments, in exposure tracking and contact tracing, PPE acquisition, and mental and physical wellness. Design: We aggregated data from four (4) different EMS documentation systems across twelve (12) states using the MEDIVIEW BEACON Prehospital Health Information Exchange. We then outputted lists of charts containing critical ICD-10 values that had been identified by the WHO, the CDC, and the Los Angeles County Fire Dept. as inclusion criteria for possible signs, symptoms, and clinical impressions of COVID-19. Results: Three important results emergency from this study: (1) a demonstration of frequent exposure to possible COVID-19 infection among Mobile Medical (EMS & Fire) care providers in the states whose data were included; (2) a demonstration of the nervousness of the general population, given that calls for help due to possible COVID-19 based on symptomology exceeded the number of responses with a correlating “provider impression” after an informed clinical assessment; and (3) that this study was empowered by a public-private partnerships between a technology startup and numerous public health and public safety agencies, offers a template for success in rapidly implementing research and development collaborations. Limitations: This study incorporates data from only (a) twelve (12) states, and (b) four (4) Mobile Medical documentation systems. We sought to combat these limitations by ensuring that our sample crosses agencies types, geographies, population demographics, and municipal environments (i.e., rural vs. urban). Conclusions: Other studies have noted that EMS agencies are tasked with transporting the “sickest of the sick.” We found that PPE is particularly essential where the frequency of encounters between potentially—or actually—infected patients is high, because from Los Angeles County to rural Texas, without sufficient protection, public health and public safety agencies have become microcosms of the communities they are meant to protect. Indeed, data from the first six months of the pandemic in the U.S.A. show that intra-departmental spread is one of (if not the) riskiest sources of infection among Mobile Medical professionals.

The dynamics of patient visits to traditional Chinese medicine during the 2019 coronavirus pandemic

Background Large-scale epidemics have changed people’s medical behavior, and patients tend to delay non-urgent medical needs. However, the impact of the pandemic on the use of complementary and alternative medicine remains unknown. Methods This retrospective study aimed to analyze the changes in the number of traditional Chinese medicine (TCM) patients and examine the epidemic prevention policy during the coronavirus disease 2019 (COVID-19) pandemic. We analyzed the number of TCM patients in Taipei City Hospital from January 2017 to May 2020. We tallied the numbers of patients in each month and compared them with those in the same months last year. We calculated the percentage difference in the number of patients to reveal the impact of the COVID-19 pandemic on TCM utilization. We used the Mann–Whitney U test to examine whether there was a significant difference in the number of patients during the COVID-19 pandemic. Results We included a total of 1,935,827 TCM visits of patients from January 2017 to May 2020 in this study. During the COVID-19 pandemic, the number of patients decreased significantly, except in February 2020. The number of patients during the COVID-19 pandemic had fallen by more than 15% compared with those in the same months last year. March and April had the greatest number of patient losses, with falls of 32.8 and 40% respectively. TCM patients declined significantly during the COVID-19 pandemic, and mobile medicine provided to rural areas fell considerably. Among all the TCM specialties, pediatrics and traumatology, as well as infertility treatment, witnessed the most significant decline in the number of patients. However, the number of cancer patients has reportedly increased. Conclusions The COVID-19 pandemic decreased the utilization rate of TCM, especially for mobile healthcare in rural areas. We suggest that the government pay attention to the medical disparity between urban and rural areas, which are affected by the pandemic, as well as allocate adequate resources in areas deprived of medical care.