Current Healthcare Policy and Environmental Status of Digital Health Medical Devices in South Korea

Objectives: COVID 19 and increasing unmet needs of health technology had accelerated an adoption of digital health globally and the major categories are mobile-health, health information technology, telemedicine. Digital health interventions have various benefit on clinical efficacy, quality of care and reducing healthcare costs. The objective of the study is to identify new reimbursement policy trend of digital health medical devices in South Korea. Method(s): Official announcements published in national bodies and supplementary secondary research were used to capture policies, frameworks and currently approved products since 2019. Result(s): With policy development, several digital health devices and AI software have been introduced as non-reimbursement by utilizing new Health Technology Assessment (nHTA) pathway including grace period of nHTA and innovative medical devices integrated assessment pathway. AI based cardiac arrest risk management software (DeepCARS) and electroceutical device for major depressive disorders (MINDD STIM) have been approved as non-reimbursement use for about 3 years. Two digital therapeutics for insomnia and AI software for diagnosis of cerebral infarction were approved as the first innovative medical devices under new integrated assessment system, and they could be treated in the market. In addition, there is remote patient monitoring (RPM) reimbursement service fee. Continuous glucose monitoring devices have been reimbursed for type 1 diabetes patients by the National Health Insurance Service (NHIS) since January 2019. Homecare RPM service for peritoneal dialysis patients with cloud platform (Sharesource) has been reimbursed since December 2019, and long-term continuous ECG monitoring service fee for wearable ECG monitoring devices (ATpatch, MEMO) became reimbursement since January 2022. Conclusion(s): Although Korean government has been developed guidelines for digital health actively, only few products had been reimbursed. To introduce new technologies for improved patient centric treatment, novel value-based assessment and new pricing guideline of digital health medical devices are quite required.Copyright © 2023

Evidence Trends in Remote Patient Monitoring and Remote Therapeutic Monitoring

Objectives: To provide an overview of trends in the current evidence landscape of products and services in development that support remote patient monitoring (RPM) and remote therapeutic monitoring (RTM), given the release of new billing codes for RPM and RTM by Centers for Medicare and Medicaid Services (CMS) in 2019. Method(s): A focused literature review was conducted in PubMed. Articles published between January 1, 2013 and January 1, 2023 were eligible for inclusion if reported technologies were classified as RPM (defined as the collection and interpretation of physiologic data digitally stored and/or transmitted by patients and/or caregivers to qualified health care professionals) or RTM (defined as the use of medical devices to monitor a patient's health or response to treatment using non-physiological data), following CMS definitions. RPM and RTM technologies included hardware, software, telehealth, and blockchain applications. Articles were then categorized using a semi-automated software platform (AutoLit, Nested Knowledge, St. Paul, MN) based on disease area, study design, intervention, and outcomes studied. Result(s): Of the 673 records screened, 245 articles were included. Observational studies (19.6%) were the most common study design, followed by systematic or focused literature reviews (11.0%) and narrative reviews (10.6%). The most common disease areas included cardiology (25.7%), coronavirus disease of 2019 (COVID-19;13.9%), and diabetes (9.4%). The most frequent clinical, non-clinical, and patient-reported outcomes were symptom monitoring (20.8%), all cause readmission and hospitalization rates (both 7.3%), and patient experience (7.8%), respectively. Conclusion(s): CMS policy and coding practices for RPM and RTM are evolving, and this trend is likely to continue into the future. This review provides details on the current evidence trends associated with RPM/RTM technologies. Evidence development of RPM and RTM should be assessed as evidence needs for coverage and reimbursement may receive increased payer management.Copyright © 2023

Clinical Uses of Cuffless Blood Pressure Monitoring Devices Using Photoplethysmography as a Promising Ambulatory Telemonitoring Tool: A Systematic Review and Meta-Analysis

Introduction: As check-ups in healthcare facilities are much arduous during the pandemic including blood pressure (BP) control, an alternative is urgently needed to replace the use of disturbing cuff-based office and ambulatory BP monitoring (BPM) devices. With the advancement of telemedicine, real-time checking and reporting of blood pressure may be potentially achieved using photoplethysmography (PPG) technology in cuffless devices. Therefore, this study evaluated the accuracy of these devices compared to the cuff-based BPM devices. Method(s): This systematic review and meta-analysis was conducted based on the PRISMA 2020 guideline through multiple databases using Rayyan according to the prearranged inclusion and exclusion criteria, yielding six clinical studies to be included in the final review and analysis. Result(s): Overall fixed-effect meta-analysis of all studies (total of 319 subjects) presented small differences between cuffless and cuff-based devices, showing promising accuracy according to the current medical instrumentation guideline both in measuring systolic BP (SMD: 0.23 mmHg [95% CI: 0.07-0.39], p = 0.004;I2= 0%, p = 0.55) and diastolic BP (SMD: 0.27 mmHg [95% CI: 0.11-0.43], p = 0.0007;I2= 39%, p = 0.14). Discussion(s): PPG itself is a noninvasive technology, consisting of an infrared-emitting light source and a photodetector to measure the blood-reflected light intensity. Despite its ease in equipment, it measures BP accurately without being influenced by various positions and activities. Moreover, the data can be accessed real-time by both users and healthcare providers. Conclusion(s): In summary, cuffless PPG BPM devices have the potential in becoming a telemonitoring device for ambulatory patients for its accuracy. Its presence may be the answer to current restriction towards healthcare access during the COVID-19 pandemic. Therefore, in order to further confirm our findings, more clinical studies with various settings are encouraged to be held.

Implementation and recommendation of postpartum visit methods during COVID-19 pandemic: a qualitative study from Indonesia

Background. The Maternal Mortality Rate (MMR) in Indonesia is still a health problem that must be solved. In 2018 and 2019, the postpartum period still dominates maternal mortality in Surabaya. The postpartum visit method is one of the essential things that can affect postpartum services, so it is necessary to evaluate the implementation of the postpartum visit method and recommend visiting methods to improve maternal health. Objective.The study explores the implementation and recommendation of postpartum visit methods during the COVID-19 Pandemic. Materials and Methods. It used a qualitative research type by assessing the interview and observation dept. The instruments used are questionnaires and observation sheets. Researchers conducted interviews with 14 mothers who had completed the postpartum period, five midwives, a stakeholder in the health office and two experts in the field of maternal health. The data is processed using organizing, reduction, coding, description, linking between themes, and data interpretation. Results. Offline visits to health facilities still dominate the implementation of the postpartum visit method. The recommended postpartum visit method combines visits to health facilities, home visits, and telehealth. Besides that, it is necessary to consider maternal postpartum services up to 3 months after delivery, especially for postpartum mothers who have problems. Conclusion. The postpartum visit method during the COVID-19 pandemic, has not run optimally because there are restrictions on offline visits. However, it has not been supported by online monitoring or home visits.Copyright © the Author(s), 2023.

Nursing teleconsultation: development of a platform for Covid-19 case management / Teleconsulta de enfermagem: desenvolvimento de plataforma para atendimento de casos de Covid-19 / Telecosulta en enfermería: desarrollo de una plataforma para el manejo de casos de Covid-19

Objetivo: Desenvolver uma plataforma virtual de Teleconsulta para atendimento a casos suspeitos de Síndromes Gripais e infecção por COVID-19. Metodologia: Trata-se de um estudo de natureza aplicada, com desenvolvimento de produção tecnológica e inovadora, prospectivo, ecológico, descritivo, de série temporal. A população do estudo foi formada por qualquer pessoa sintomática para Síndromes Gripais por COVID-19, suspeitos ou confirmados, de qualquer local do Brasil. Este estudo foi realizado em duas etapas, a saber: Etapa I: Desenvolvimento da Aplicação para Plataforma de Teleconsulta. Etapa II: atendimento por meio de Teleconsulta de Casos suspeitos de COVID-19 e Sindromes Gripais. A metodologia utilizada para o desenvolvimento da aplicação proposta foi a modelagem por prototipação evolucionária. Resultados: Foram realizados 209 atendimentos na Plataforma de Teleconsulta, sendo 151 (70%) do sexo feminino e 65 (30%) do sexo masculino, com prevalência de idade variando de 20 a 29 anos (41%). Quanto ao risco de infecção por COVID-19, 42 (20%) tinham alto risco, 75 (36%) médio risco e 92 (44%) baixo risco. Os sintomas mais prevalentes foram: secreção nasal ou espirros (53%), dores no corpo (49%), dor de cabeça (47%), dor de garganta (46%), tosse seca (35%), Febre (31%), falta de ar (25%) e diarreia (23%). Inicialmente o teleatendimento foi composto por teletriagem com classificação de risco com base na sintomatologia dos pacientes que foram codificados com pontuações conforme a gravidade do sintoma para formas graves de COVID-19. A classificação de risco categorizou os pacientes em risco baixo (1 a 9 pontos), risco médio (10 a 19 pontos) e risco alto (20 a 36 pontos). Em seguida, a teleconsulta foi agendada conforme disponibilidade do paciente por meio do método SBAR para comunicação efetiva e ao término do atendimento um plano de cuidados com Sistematização da Assistência de Enfermagem ­ SAE era encaminhado ao paciente por meio de WhatsApp ou e-mail. Conclusão: A plataforma de teleconsulta possibilitou a triagem dos pacientes, reduziu as visitas desnecessárias às unidades de emergência, permitiu a avaliação e monitoramento dos casos, bem como o acompanhamento de pacientes ambulatoriais que não necessitam de avaliação presencial.

Objective: To develop a virtual Teleconsultation platform for care of suspected cases of influenza syndromes and infection by COVID-19. Methodology: This is a study of applied nature, with development of technological and innovative production, prospective, ecological, descriptive, time series. The study population was made up of any person symptomatic for COVID-19 influenza syndromes, suspected or confirmed, from any location in Brazil. This study was conducted in two stages, namely: Stage I: Development of the Application for Teleconsultation Platform. Stage II: care through Teleconsultation of suspected cases of COVID-19 and influenza syndromes. The methodology used to develop the proposed application was evolutionary prototyping modeling. Results: There were 209 consultations in the Teleconsultation Platform, 151 (70%) were female and 65 (30%) were male, with prevalence of age ranging from 20 to 29 years (41%). As for the risk of infection by COVID-19, 42 (20%) had high risk, 75 (36%) medium risk and 92 (44%) low risk. The most prevalent symptoms were: nasal discharge or sneezing (53%), body aches (49%), headache (47%), sore throat (46%), dry cough (35%), fever (31%), shortness of breath (25%), and diarrhea (23%). Initially, the telecare was composed of teletry with risk classification based on the symptomatology of the patients who were coded with scores according to symptom severity for severe forms of COVID-19. The risk classification categorized patients into low risk (1 to 9 points), medium risk (10 to 19 points), and high risk (20 to 36 points). Then, the teleconsultation was scheduled according to the patient's availability through the SBAR method for effective communication and at the end of the service a care plan with Nursing Assistance Systematization - SAE was forwarded to the patient through WhatsApp or e-mail. Conclusion: Teleconsultation platform enabled patient triage, reduced unnecessary visits to emergency units, allowed the evaluation and monitoring of cases, as well as the follow- up of outpatients who do not need face-to-face evaluation.

Objetivo: Desarrollar una plataforma de Teleconsulta virtual para atender casos sospechosos de síndromes gripales e infección por COVID-19. Metodología: Se trata de un estudio aplicado, con desarrollo de producción tecnológica e innovadora, prospectivo, ecológico, descriptivo, con serie de tiempo. La población de estudio estuvo formada por cualquier persona sintomática de síndromes gripales por COVID-19, sospechada o confirmada, de cualquier localidad de Brasil. Este estudio se realizó en dos etapas, a saber: Etapa I: Desarrollo de Aplicaciones para la Plataforma de Teleconsulta. Etapa II: atención mediante teleconsulta de casos sospechosos de COVID-19 y síndromes gripales. La metodología utilizada para el desarrollo de la aplicación propuesta fue el modelado por prototipo evolutivo. Resultados: Se realizaron 209 consultas en la Plataforma de Teleconsulta, 151 (70%) del sexo femenino y 65 (30%) del masculino, con prevalencia de edades entre 20 a 29 años (41%). En cuanto al riesgo de infección por COVID-19, 42 (20%) fueron de alto riesgo, 75 (36%) de riesgo medio y 92 (44%) de bajo riesgo. Los síntomas más prevalentes fueron: secreción nasal o estornudos (53%), dolor de cuerpo (49%), dolor de cabeza (47%), dolor de garganta (46%), tos seca (35%), fiebre (31%), falta de aliento (25%) y diarrea (23%). Inicialmente, la teleasistencia consistía en teleselección con clasificación de riesgo en función de la sintomatología de los pacientes a los que se codificaba con puntuaciones según la gravedad del síntoma para formas graves de COVID-19. La clasificación de riesgo clasificó a los pacientes en riesgo bajo (1 a 9 puntos), riesgo medio (10 a 19 puntos) y riesgo alto (20 a 36 puntos). Luego, se programó la teleconsulta de acuerdo a la disponibilidad del paciente a través del método SBAR para una comunicación efectiva y al final de la atención se remitió al paciente un plan de cuidados con Sistematización de Atención de Enfermería - SAE vía WhatsApp o correo electrónico. Conclusión: La plataforma de teleconsulta posibilitó el triaje de pacientes, redujo las visitas innecesarias a las unidades de emergencia, permitió la evaluación y seguimiento de casos, así como el seguimiento de pacientes ambulatorios que no requieren evaluación presencial.

Effectiveness of Telemedicine in Reducing Hospitalizations in Patients Discharged from the Hospital Due to Heart Failure: A Randomized Clinical Trial Protocol

Abstract Fundament: Telemedicine for follow-up in heart failure (HF) patients is effective in reducing hospitalizations, total and cardiovascular mortality. However, few studies were conducted in low and middle income, where lower access to technology and illiteracy could impact the results. Objective: To assess the effectiveness of associating telemedicine strategies, when compared to usual care, in reducing hospitalizations related to HF in patients discharged from the hospital due to HF. Methods: Controlled, randomized, multicenter, parallel-arm clinical trial, with an allocation ratio of 1:1, blinded to outcome evaluation, in which 340 patients who were discharged from public hospitals in Belo Horizonte due to HF will be randomized. Patients will be followed for 6 months and the intervention group will receive, in addition to the usual care, Structured Telephone Support (STS) from a nurse, a doctor, and an educational program. Counseling will be according to a clinical decision tree. The level of significance in the statistical analysis will be 5%. Expected results: Reduction in the number of hospital readmissions and/or in hospitalization time, in addition to developing a software with a clinical decision tree for remote follow-up and patient education about HF adapted to local culture. Conclusions: The intention of this study is to develop a telemedicine strategy and assess whether or not, in addition to the usual care, it is effective in reducing hospitalizations and mortality from HF. If effective, the aforementioned strategy could reduce costs and hospital needs in the Unified Health System (SUS, in Portuguese) for patients with HF. These results will be even more relevant considering the pandemic of COVID-19.

Oral and Dental Needs and Teledentistry Applications in the Elderly: Real-Time Surveillance Using Google Trends

Featured ApplicationThe present cross-sectional analysis aimed to evaluate the level of interest in oral and dental needs and teledentistry applications among the elderly, as well as whether COVID-19 pandemic outbreaks were influenced by real-time surveillance, using Google Trends. As the number of elderly dental patients continues to increase, there is a growing need for specific interventions that address the biological and psychological issues of this population. Teledentistry represents a healthcare delivery system that can overcome these problems, although the oral and dental care provision methods involved are still unknown to most people. Indeed, there is a need to raise awareness of the indications for teledentistry, the available interventions, and the potential benefits for the oral and dental care of elderly patients.Considering the increasing need for oral and dental care in the elderly, teledentistry has been proposed to improve the education of elderly patients in oral health maintenance and risk factor control, identify patients' concerns in advance, facilitate monitoring, and save time and money. The present cross-sectional analysis of Google search data through real-time surveillance with Google Trends aimed to determine Google users' interest in oral and dental needs and teledentistry applications in the elderly, and to compare search volumes before and after the COVID-19 outbreak. Extracted CVS data were qualitatively analyzed. Pearson and Spearman correlation analyses were performed between searches for "elderly” and "teledentistry”, and all the oral and dental needs and teledentistry applications. The Mann–Whitney U test compared search volumes in the 36 months before and after the beginning of the COVID-19 pandemic. Google users' interest in the elderly and related oral and dental needs was diffusely medium–high, while teledentistry and its applications were of lower interest. Interest in teledentistry and its applications was strongly related to interest in the older population, which is consistent with the assumption that older adults represent the population segment that could benefit most from these tools. A positive correlation was also found between searches for "Elderly” and searches for almost all oral and dental needs typical of the geriatric population. Search volumes increased significantly after the outbreak of the COVID-19 pandemic. More information about teledentistry should be disseminated to increase knowledge and awareness, especially among older patients, about its indications, applications, and advantages.

Urinary proteomics combined with home blood pressure telemonitoring for health care reform trial-First progress report.

High blood pressure (BP) and type-2 diabetes (T2DM) are forerunners of chronic kidney disease and left ventricular dysfunction. Home BP telemonitoring (HTM) and urinary peptidomic profiling (UPP) are technologies enabling risk stratification and personalized prevention. UPRIGHT-HTM (NCT04299529) is an investigator-initiated, multicenter, open-label, randomized trial with blinded endpoint evaluation designed to assess the efficacy of HTM plus UPP (experimental group) over HTM alone (control group) in guiding treatment in asymptomatic patients, aged 55-75 years, with ≥5 cardiovascular risk factors. From screening onwards, HTM data can be freely accessed by all patients and their caregivers; UPP results are communicated early during follow-up to patients and caregivers in the intervention group, but at trial closure in the control group. From May 2021 until January 2023, 235 patients were screened, of whom 53 were still progressing through the run-in period and 144 were randomized. Both groups had similar characteristics, including average age (62.0 years) and the proportions of African Blacks (81.9%), White Europeans (16.7%), women 56.2%, home (31.2%), and office (50.0%) hypertension, T2DM (36.4%), micro-albuminuria (29.4%), and ECG (9.7%) and echocardiographic (11.5%) left ventricular hypertrophy. Home and office BP were 128.8/79.2 mm Hg and 137.1/82.7 mm Hg, respectively, resulting in a prevalence of white-coat, masked and sustained hypertension of 40.3%, 11.1%, and 25.7%. HTM persisted after randomization (48 681 readings up to 15 January 2023). In conclusion, results predominantly from low-resource sub-Saharan centers proved the feasibility of this multi-ethnic trial. The COVID-19 pandemic caused delays and differential recruitment rates across centers.

COVID-19 stressors for Hispanic/Latino patients living with type 2 diabetes: a qualitative study.

Background and aim: During the early stages of the COVID-19 pandemic, nationwide lockdowns caused disruption in the diets, physical activities, and lifestyles of patients with type 2 diabetes. Previous reports on the possible association between race/ethnicity, COVID-19, and mortality have shown that Hispanic/Latino patients with type 2 diabetes who are socioeconomically disadvantaged are disproportionately affected by this novel virus. The aim of this study was to explore stressors associated with changes in diabetes self-management behaviors. Our goal was to highlight the health disparities in these vulnerable racial/ethnic minority communities and underscore the need for effective interventions. Methods and participants: Participants were enrolled in part of a larger randomized controlled trial to compare diabetes telehealth management (DTM) with comprehensive outpatient management (COM) in terms of critical patient-centered outcomes among Hispanic/Latino patients with type 2 diabetes. We conducted a thematic analysis using patient notes collected from two research nurses between March 2020 and March 2021. Two authors read through the transcripts independently to identify overarching themes. Once the themes had been identified, both authors convened to compare themes and ensure that similar themes were identified within the transcripts. Any discrepancies were discussed by the larger study team until a consensus was reached. Results: Six themes emerged, each of which can be categorized as either a source or an outcome of stress. Sources of stress associated with the COVID-19 pandemic were (1) fear of contracting COVID-19, (2) disruptions from lockdowns, and (3) financial stressors (e.g., loss of income). Outcomes of COVID-19 stressors were (1) reduced diabetes management (e.g., reduced diabetes monitoring and physical activity), (2) suboptimal mental health outcomes (e.g., anxiety and depression), and (3) outcomes of financial stressors. Conclusion: The findings indicated that underserved Hispanic/Latino patients with type 2 diabetes encountered a number of stressors that led to the deterioration of diabetes self-management behaviors during the pandemic.

Telemonitoring of older anticoagulant users during the COVID-19 pandemic

The COVID-19 pandemic brought challenges to the monitoring of anticoagulant users, especially older adults, making telemonitoring an alternative to provide continuity of care for these patients. The present study aimed to describe the experience of telemonitoring of older anticoagulant users during the COVID-19 pandemic. This is a descriptive study concerning the telemonitoring pharmaceutical service for older adults (>= 60 years old) using oral anticoagulants in a private geriatric outpatient clinic (Belo Horizonte). Older people had parameters of effectiveness and safety of anticoagulants monitored monthly by telephone (Apr-Dec/2021). Identified problems generated interventions for the patient or the multidisciplinary team. A total of 425 older adults were included in the service. Most used apixaban (189;41.9%), rivaroxaban (146;34.4%) and warfarin (47;11.1%). There was a mean age of 82.1 years, mostly female (65.2%), most at high risk of vulnerability (69%), and an incidence of 9.9% of COVID-19. There were 219 interventions related to warfarin (average of 4.6 interventions/patient);including requests for an INR test (57.5%), health guidelines (19.6%), dosage change (reduction -10.5%;increase -5.9%;suspension -0.6%), or referral (5.9%). Users of other anticoagulants did not show alterations in the monitored parameters. Eleven older adults suffered falls and 10 required hospitalizations due to thromboembolic or hemorrhagic events. There was no statistically significant difference in hospitalization rates between users of warfarin or other anticoagulants (p=0.314). Monitoring older anticoagulant users is important, especially considering the high level of frailty identified and the thromboembolic and non-thromboembolic risks that COVID-19 brings. Telemonitoring was important, allowing for multiple interventions to be performed.

AI-Based mHealth App for Covid-19 or Cardiac Diseases Diagnosis and Prognosis

Covid-19 has rapidly spread and affected millions of people worldwide. For that reason, the public healthcare system was overwhelmed and underprepared to deal with this pandemic. Covid-19 also interfered with the delivery of standard medical care, causing patients with chronic diseases to receive subpar care. As chronic heart failure becomes more common, new management strategies need to be developed. Mobile health technology can be utilized to monitor patients with chronic conditions, such as chronic heart failure, and detect early signs of Covid-19, for diagnosis and prognosis. Recent breakthroughs in Artificial Intelligence and Machine Learning, have increased the capacity of data analytics, which may now be utilized to remotely conduct a variety of tasks that previously required the physical presence of a medical professional. In this work, we analyze the literature in this domain and propose an AI-based mHealth application, designed to collect clinical data and provide diagnosis and prognosis of diseases such as Covid-19 or chronic cardiac diseases. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Telehealth Systems for Midwifery Care Management during the COVID-19 Pandemic: A Systematic Review

Background: Intrinsic features of COVID-19 disease, including the severity of the virus transmission and mortality rates, make it difficult to provide obstetric care to pregnant women. In this regard, telemedicine can provide comprehensive midwifery care relying on new technologies, such as virtual clinic, telehealth, tele-monitoring, m-Health, wearable sensors, and the internet of medical things. The objective of this study is to identify the application and requirements of a telehealth system for midwifery care. Methods: We conducted a literature search from 2019/12/1 to 2022/10/1 using the following electronic scientific databases: Web of Science, Scopus, PubMed, Science Direct, and Google Scholar. We carried out hand searches from the reference lists of retrieved studies of journals. Results: We showed that, during COVID-19 pandemic, prenatal care via telehealth increased and telehealth is a good strategy for prenatal and post-partum disease managements. Mental health services are also feasible via telehealth. These new technologies also reduce the risks associated with interpersonal contacts in COVID-19 pandemic. Conclusion: With the COVID-19 pandemic, telehealth became the norm. The future of medical services will be built around this technology and that is a great opportunity to move toward a great evolution. Copyright © 2023, Journal of Iranian Medical Council. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Exploratory data analysis, classification, comparative analysis, case severity detection, and internet of things in COVID-19 telemonitoring for smart hospitals

The proportion of COVID-19 patients is significantly expanding around the world. Treatment with serious consideration has become a significant problem. Identifying clinical indicators of succession towards severe conditions is desperately required to empower hazard stratification and optimise resource allocation in the pandemic of COVID-19. Consequently, the classification of severity level is significant for the patient's triaging. It is required to categorise the severity level as mild, moderate, severe, and critical based on the patients' symptoms. Various symptomatic parameters may encourage the evaluation of infection seriousness. Likewise, with the rapid spread and transmissibility of COVID-19 patients, it is crucial to utilise telemonitoring schemes for COVID-19 patients. Telemonitoring mediation encourages remote data and information exchange among medicinal services, suppliers, and patients, furthermore, risk mitigation and provision of appropriate medical facilities. This paper provides explorative data analysis of symptoms, comorbidities, and other parameters, comparing different machine learning algorithms for case severity detection. This paper also provides a system (based on the degree of truthfulness) for case severity detection that might be utilised to stratify risk levels for anticipated moderate and severe COVID-19 patients. Finally, we provide a telemonitoring model of COVID-19 patients to ensure the remote and continuous monitoring of case severity progression and appropriate risk mitigation strategies. [ FROM AUTHOR] Copyright of Journal of Experimental & Theoretical Artificial Intelligence is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Telemedicine technologies and applications in the era of COVID-19 pandemic: A systematic review.

INTRODUCTION: Telemedicine services saw substantial surges in their use during the COVID-19 pandemic due to the lockdowns and characteristics of the pandemic. Therefore, the authors aimed to systematically review the telemedicine services provided during the COVID-19 pandemic and their potential applications. METHODS: The authors searched PubMed, Scopus, and Cochrane databases on September 14, 2021. Then, the retrieved records underwent two-step title/abstract and full-text screening processes, and the eligible articles were included for qualitative synthesis. RESULTS: The review of studies demonstrated that the telephone is listed 38 times, making it the most common technology used in telemedicine. Video conferencing is also mentioned in 29 articles, as well as other technologies: Mobile-health (n = 15), Virtual reality (n = 7). According to the findings of the present study, Tele-follow-up (n = 24), Tele-consulting (n = 20), Virtual visits (20), and Tele-monitoring (n = 18) were the most widely used telemedicine applications. CONCLUSION: Telemedicine has been an effective approach to COVID-19 management. Telemedicine technology is going to play a key role in the future of health medicine, patient consultation, and many other extended applications of health care in remote rural locations.

Reliability of the five times sit to stand test performed remotely by multiple sclerosis patients.

INTRODUCTION: Multiple Sclerosis, known main cause of non-traumatic neurological disability in adults, leads to changes in muscle strength, especially in the lower limbs. Assessing muscle strength in these patients is thus essential and can be achieved by the Five Times Sit to Stand Test (FTSST), commonly performed in person. Due to the COVID-19 pandemic and social distancing measured adopted, Brazilian physiotherapists turned to remote monitoring and assessment, supported by Resolution n° 516/2020, which required proving the reliability of tests. Given this scenario, this study sought to evaluate the intra- and inter-rater reliability of the Five Times Sit to Stand Test performed remotely and synchronously by multiple sclerosis patients. METHODS: A sample of 33 individuals with relapsing-remitting Multiple Sclerosis (18 women and 15 men, mean age 43.7 ± 13.4 years) were remotely and synchronously by video call. Inter-rater reliability was evaluated by analyzing FTSST execution time, in seconds, timed by two different raters on the same video call. In turn, intra-rater reliability was assessed by analyzing the execution time recorded in two different video calls made by the same rater, within a 24-28-h interval. Descriptive and inferential data analysis were performed using SPSS 20.0 software. Means and standard deviation were calculated for descriptive statistic. Intraclass correlation coefficient (ICC), with a 0.05 significance level, standard error of measurement (SEM) and minimal detectable change (MDC) were calculated for inferential analysis. RESULTS: Data analysis showed excellent ICC values and low SEM and MDC values regarding inter-rater reliability (ICC: 0.993 (0.986-0.996); p-value: <0.001; SEM: 0.6 s; MDC: 1.6 s) and intra-rater reliability (ICC: 0.962 (0.925-0.981); p-value: <0.001; SEM: 1.4 s; MDC: 3.8 s). CONCLUSION: Based on these values, FTSST performed remotely and synchronously by relapsing-remitting Multiple Sclerosis patients is reliable and can be used both by different raters, for assessment, or by the same rater, in pre- and post-test situations.

OSA patients' opinions concerning their disease and treatment during the pandemic

The COVID-19 pandemic has changed the operation of healthcare systems worldwide reducing hospital based services, and increasing telemedicine solutions for the diagnosis and treatment of obstructive sleep apnoea (OSA). Aim(s): to evaluate the opinion of OSA patients concerning their disease during the COVID pandemic,their treatment and follow up. Method(s): A telephone questionnaire based survey was conducted on OSA patients treated with CPAP including basic information (age, gender, marriage, education level, etc.), opinion towards the changes of medical practice during the pandemic, history of OSA, Epworth Sleepiness Scale (ESS), Athens Insomnia Scale (AIS), DAR-5 (anger), PHQ-4(depression and anxiety), Heaviness of Smoking Index (HSI) and Loneliness scale (LS). Adherence on CPAP was assessed objectively by telemonitoring. Result(s): 100 OSA patients 54.3+/-12.5 years (72% males) were evaluated presenting with ESS: 4.3+/-2.95, AIS: 3.14+/-3.3, PHQ-4: 2.29+/-1.72, DAR-5: 6.7+/-1.95 and HSI 3.5+/-.1.7. Mean CPAP use was 5.8+/-1.65 with 2.9+/-2.5years OSA history (96% used CPAP the same as before the pandemic). 41% considered themselves as high risk group for severe disease due to COVID because they suffered from OSA, and 25% believed CPAP could be protective from COVID. Patients infected with COVID (31%) did not change their CPAP use. 30% believed they received worse healthcare facilities than before and 16% presented worse sleep quality. Conclusion(s): During the pandemic, OSA patients continued to use their CPAP as before;however they believed that they should have better healthcare facilities. They considered themselves as a high risk group for COVID infection.

Remote Patient Monitoring and Glycemic Control Trends during the Covid-19 Pandemic

Background and Aims: COVID-19 created challenges to diabetes care and accelerated the need to optimize healthcare delivery outside of traditional settings. Due to subsequent stayat- home orders, many clinicians sought remote patient monitoring (RPM) solutions to remain engaged with their patients with diabetes (PWD) and to provide care. This study examined RPM uptake and diabetes-related outcomes during the COVID- 19 pandemic for PWD using a RPM solution. Method(s): The Glooko platform is used globally by millions of PWD and populates a real world data repository of 100+ billion data points. The analysis included diabetes device syncs from 100,000+ Glooko patient users during Year 2020. Descriptive statistics were used to evaluate trends in RPM usage and diabetes outcomes (glucose, self-monitoring, etc.). Result(s): RPM uploads increased by 36% during the "lockdown" and remained high even as clinics reopened. Five months into the pandemic, peak glucose levels on Sundays and Saturdays increased, but remained lower than pre-pandemic levels (-1.2% and -0.7%, respectively). Average glucose levels dropped early on and gradually increased over the year but with lower weekend and holiday spikes. Self-monitoring of blood glucose (SMBG) readings were within recommended range over 50% of the time and the average number of daily SMBG checks exceeded established clinical guidelines. Additional data will be presented. Conclusion(s): The Glooko RPM platform offered an important clinical tool to providers and patients during the pandemic which resulted in increased engagement, improved glucose trends, and increased self-monitoring. Remote care provided clinics and patients with necessary insights to collaborate and manage diabetes despite the lack of in-clinic visits.

Arrhythmia burden in COVID-19 patients from industrial workforce evaluated by remote patient monitoring technology

Introduction: Early reports from China estimated that overall cardiac arrhythmia prevalence in patients hospitalized for COVID-19 was 17%. A higher arrhythmia incidence (44%) was observed in patients admitted to intensive care unit. The industrial workforce was affected by COVID-19 to a great extent. A noteworthy proportion also suffered from cardiac abnormalities. Objective(s): To determine the incidence of arrhythmia in patients with COVID-19 among the industrial workforce using remote patient monitoring technology. Material(s) and Method(s): This was a retrospective, observational, descriptive study of the industrial workforce from Telangana State, India. Approval of the institutional ethics committee was obtained. The need for informed consent was waived off. Patients who tested positive for COVID-19 by RTPCR and aged above 18 years were eligible. The five-day recording of lead-2 ECG on Vigo Monitoring Solution (Connect Care India Pvt. Ltd) was collected and analysed. Brady-arrhythmia during day time, second degree AV block Type-2 (Mobitz II) during the day time, complete heart block, wide QRST, non-sustained ventricular tachycardia and sinus pause were considered "clinically significant". The other sub-types were defined as "clinically non-significant". The ECGs with regular sinus rhythm were interpreted as "normal". The prevalence of clinically significant, clinically non-significant and normal heart rhythm are described here. Result(s): Out of 240 COVID-19 patients who were on-board for remote monitoring, 216 (148 male and 68 female, mean age 51+/-15 years) met the eligibility criteria and only their ECG were analysed. Among them, 18 were known diabetics, 40 were hypertensive and 31 had both comorbidities. 112 were asymptomatic and 104 were symptomatic. The burden of arrhythmia was found clinically significant in 12 (5.6%) patients, clinically non-significant in 87 (40.4%) and normal among 117 (54%) out of 216 patients. Conclusion and Recommendation: The remote patient monitoring may be utilized as a tool for early screening of significant arrhythmia which are to be addressed immediately for better clinical outcome. These devices on being integrated into COVID-19 management strategies may contribute to patient satisfaction, emergency alerts, timely management, reducing mortality rate and enhancing the safety of healthcare providers.

OCCUCON 2022 Abstracts

The proceedings contain 40 papers. The topics discussed include: respiratory hypersensitivity profiling among farmers with pesticide exposure: field- based, cross-sectional study;requirements of prescription safety eye wear;Covid-19 and comorbidities: deleterious impact on infected patients;knowledge regarding heat stress and practice of personal protective equipment use among healthcare workers during the Covid 19 pandemic;arrhythmia burden in Covid-19 patients from industrial workforce evaluated by remote patient monitoring technology;a qualitative perspective of construction site migrant workers' plight during covid-19 lockdown in Bhavnagar (Western India);elimination of volatile organic compound VOCs exposure at chemical testing laboratory: through effective OHIH assessment;and perceived morbidity, its risks and catastrophic health expenditure among construction workers: a cross sectional observation from Ahmedabad.