International Journal of Telemedicine and Applications最新文献

{"title":"Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models","authors":"D. Chumachenko, Tetiana Dudkina, Sergiy Yakovlev, T. Chumachenko","doi":"10.1155/2023/9962100","DOIUrl":"https://doi.org/10.1155/2023/9962100","url":null,"abstract":"This study is centered around the COVID-19 pandemic which has posed a global health concern for over three years. It emphasizes the importance of effectively utilizing epidemic simulation models for informed decision-making concerning epidemic control. The challenge lies in appropriately choosing, adapting, and interpreting these models. The research constructs three statistical machine learning models to predict the spread of COVID-19 in specific regions and evaluates their performance using real COVID-19 incidence data. The paper presents short-term (3, 7, 14, 21, and 30 days) forecasts of COVID-19 morbidity and mortality for Germany, Japan, South Korea, and Ukraine. The precision of each model was scrutinized based on the type of input data used. Recommendations are provided on how various data sources can enhance the interpretation quality of machine learning models predicting infectious disease dynamics. The initial findings suggest the need for the comprehensive utilization of all available data, favoring cumulative data during holiday-rich periods and daily data otherwise. To minimize the absolute error, databases should be compiled using daily morbidity and mortality rates.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"55 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge Is (Still) Key: Awareness to Shape Trends in Telemedicine Use during the Pandemic Based on Management Perceptions and Implementation Systems","authors":"Nada I. Hawa, Tri E. B. Soesilo, Nuraeni Nuraeni","doi":"10.1155/2023/4669985","DOIUrl":"https://doi.org/10.1155/2023/4669985","url":null,"abstract":"Objectives. The digital revolution has brought rapid developments to the health sector. People were taking advantage of telemedicine technology during the COVID-19 pandemic. Telemedicine is highly recommended during a pandemic because it will reduce the transmission rate of viruses, and it is considered adequate and low-cost. However, a fundamental challenge still occurs; most people need to be used to telemedicine technology. Presumably, inadequate education and lack of experience regarding the use of telemedicine are obstacles for society in utilizing telemedicine. Methods. This study is aimed at determining the factors that influence the use of telemedicine. It focused on variables such as data confidentiality, administration, and knowledge to measure potential factors that pushed people to utilize telemedicine. We used a quantitative approach, using multivariate analysis, namely, simple linear regression. Most of our respondents are people aged 18-30 years young. Results. All respondents stated that administration factors in the implementation of telemedicine were good. Through the Chi-square test, the data safety factor has no effect (\u0000 \u0000 p\u0000 \u0000 value =0.090 or >0.05) on telemedicine implementation, while the knowledge factor has a significant effect on telemedicine implementation with a \u0000 \u0000 p\u0000 \u0000 value =0.043 (<0.005). The multivariate analysis explained that the knowledge variable influenced telemedicine use with a \u0000 \u0000 p\u0000 \u0000 value =0.033 (<0.05), meaning it contributed 1.624 times to telemedicine. Conclusion. This study discusses the factors that influence the use of telemedicine. The study’s results explain that the knowledge variable is the most significant factor influencing telemedicine use. Knowledge is an intellectual property that everyone must have to capitalize on with telemedicine. A lack of knowledge will become an information gap and a barrier for someone to reach new tools/technologies.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"14 3","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138595481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases.","authors":"Htet Yamin Ko Ko, Nitin Kumar Tripathi, Chitrini Mozumder, Sombat Muengtaweepongsa, Indrajit Pal","doi":"10.1155/2023/9965226","DOIUrl":"https://doi.org/10.1155/2023/9965226","url":null,"abstract":"Telemedicine and remote patient monitoring (RPM) systems have been gaining interest and received adaptation in healthcare sectors since the COVID-19 pandemic due to their efficiency and capability to deliver timely healthcare services while containing COVID-19 transmission. These systems were developed using the latest technology in wireless sensors, medical devices, cloud computing, mobile computing, telecommunications, and machine learning technologies. In this article, a real-time remote patient monitoring system is proposed with an accessible, compact, accurate, and low-cost design. The implemented system is designed to an end-to-end communication interface between medical practitioners and patients. The objective of this study is to provide remote healthcare services to patients who need ongoing care or those who have been discharged from the hospital without affecting their daily routines. The developed monitoring system was then evaluated on 1177 records from MIMIC-III clinical dataset (aged between 19 and 99 years). The performance analysis of the proposed system achieved 88.7% accuracy in generating alerts with logistic regression classification algorithm. This result reflects positively on the quality and robustness of the proposed study. Since the processing time of the proposed system is less than 2 minutes, it can be stated that the system has a high computational speed and is convenient to use in real-time monitoring. Furthermore, the proposed system will fulfil to cover the lower doctor-to-patient ratio by monitoring patients from remote locations and aged people who reside in their residences.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"9965226"},"PeriodicalIF":4.4,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138463460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Awareness and Attitude of Telemedicine among Primary Healthcare Workers in Deprived Area Health Centers.","authors":"Mahdi Mazandarani,&nbsp;Narges Lashkarbolouk,&nbsp;Mitra Hashemi","doi":"10.1155/2023/5572286","DOIUrl":"10.1155/2023/5572286","url":null,"abstract":"<p><strong>Background: </strong>Telemedicine has the potential to make healthcare more efficient, organized, and available and is a more beneficial technology that can ease preventive treatment and improve long-term health management. This is especially essential for those who face financial or regional reasons to get quality treatment. Telemedicine in Iran is a new medical field and a noble way to access medical facilities for populations living in deprived areas, and the primary healthcare workers in these deprived medical centers are the implementers of telemedicine in those areas; we aimed to investigate the awareness and attitude towards telemedicine among all the healthcare workers in these centers.</p><p><strong>Method: </strong>This is a descriptive cross-sectional study at the Health Centers of Raz County in North Khorasan Province, Iran, and 149 healthcare workers were included. For collecting information, we used a questionnaire that consisted of two parts. The first part contains the demographic data of health care workers, and the second part includes the 5-point Likert scale questionnaire (questions on telemedicine awareness, attitude, and self-report readiness).</p><p><strong>Result: </strong>Most participants (51%) were male, and 69.8% were married. The most frequent sources of information about telemedicine are colleagues (40.3%), continuing education (24.7%), and social media and the internet (10.1%). Awareness did not significantly relate to gender, age, marital status, or work experience, but awareness of physicians and midwives is higher than other groups (<i>p</i> < 0.05). The awareness of healthcare workers using continuing education, articles, workshops, or conferences was significantly higher (<i>p</i> < 0.05). The attitude scores for most questions are above 3.4 and reflect a positive attitude about telemedicine. Attitudes did not show a significant relation to gender, age, marital status, or work experience.</p><p><strong>Conclusion: </strong>Using telemedicine in developing countries, rural or urban areas have a high potential to improve epidemiological investigations, disease control, and clinical case management. Providing healthcare professionals with more information about new technologies in healthcare, such as telemedicine, can help get a more realistic picture of their perceptions.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"5572286"},"PeriodicalIF":4.4,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41147206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of Conducting Sit-to-Stand Tests Using Video Consultation.","authors":"Deng Peng Ng, P Thiviyan, Sailli Shrida, Li Whye Cindy Ng","doi":"10.1155/2023/8551680","DOIUrl":"10.1155/2023/8551680","url":null,"abstract":"<p><strong>Objective: </strong>This study is aimed at ascertaining the feasibility of conducting the 1-minute sit-to-stand (1MSTS) and 30-second sit-to-stand (30SSTS) tests for healthy participants via video consultation. A secondary aim was to compare the relationship between the 1MSTS and 30SSTS.</p><p><strong>Methods: </strong>A total of 63 participants were recruited via the Singapore Institute of Technology emails and social media in 2020 during the peak of COVID-19. Prior to the sit-to-stand testing, all participants completed the consent form and physical activity questionnaires. Anthropometric data such as height and weight were also collected prior to testing. An instructional video detailing the sit-to-stand (STS) movement and the requirements for the environment set-up were sent to the participants via email. All STS tests were conducted virtually via the Zoom application. Healthy participants aged 21 to 55 years old performed a 1MSTS and 30SSTS each in random order.</p><p><strong>Results: </strong>All recruited participants completed the STS tests with no reported adverse events. Majority of participants were from the 21- to 25-year-old age groups, and the average number of repetitions performed by this group was 21.9 ± 5.6 for the 30SSTS and 44.7 ± 12.6 for the 1MSTS.</p><p><strong>Conclusion: </strong>Conducting the STS tests via video consultation was demonstrated to be safe and feasible. The number of repetitions performed in the 1MSTS is correlated to that of the 30SSTS, but 1MSTS has the ability to elicit a greater HR response among younger adults.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"1 1","pages":"8551680"},"PeriodicalIF":3.1,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11401680/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44146511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology.","authors":"A S Albahri, Z T Al-Qaysi, Laith Alzubaidi, Alhamzah Alnoor, O S Albahri, A H Alamoodi, Anizah Abu Bakar","doi":"10.1155/2023/7741735","DOIUrl":"10.1155/2023/7741735","url":null,"abstract":"<p><p>The significance of deep learning techniques in relation to steady-state visually evoked potential- (SSVEP-) based brain-computer interface (BCI) applications is assessed through a systematic review. Three reliable databases, PubMed, ScienceDirect, and IEEE, were considered to gather relevant scientific and theoretical articles. Initially, 125 papers were found between 2010 and 2021 related to this integrated research field. After the filtering process, only 30 articles were identified and classified into five categories based on their type of deep learning methods. The first category, convolutional neural network (CNN), accounts for 70% (<i>n</i> = 21/30). The second category, recurrent neural network (RNN), accounts for 10% (<i>n</i> = 3/30). The third and fourth categories, deep neural network (DNN) and long short-term memory (LSTM), account for 6% (<i>n</i> = 30). The fifth category, restricted Boltzmann machine (RBM), accounts for 3% (<i>n</i> = 1/30). The literature's findings in terms of the main aspects identified in existing applications of deep learning pattern recognition techniques in SSVEP-based BCI, such as feature extraction, classification, activation functions, validation methods, and achieved classification accuracies, are examined. A comprehensive mapping analysis was also conducted, which identified six categories. Current challenges of ensuring trustworthy deep learning in SSVEP-based BCI applications were discussed, and recommendations were provided to researchers and developers. The study critically reviews the current unsolved issues of SSVEP-based BCI applications in terms of development challenges based on deep learning techniques and selection challenges based on multicriteria decision-making (MCDM). A trust proposal solution is presented with three methodology phases for evaluating and benchmarking SSVEP-based BCI applications using fuzzy decision-making techniques. Valuable insights and recommendations for researchers and developers in the SSVEP-based BCI and deep learning are provided.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"7741735"},"PeriodicalIF":3.1,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9452951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges.","authors":"Shahrbanoo Pahlevanynejad,&nbsp;Sharareh R Niakan Kalhori,&nbsp;Meysam Rahmani Katigari,&nbsp;Rahil Hosseini Eshpala","doi":"10.1155/2023/5390712","DOIUrl":"https://doi.org/10.1155/2023/5390712","url":null,"abstract":"<p><p>Mobile health as one of the new technologies can be a proper solution to support care provision for the elderly and provide personalized care for them. This study is aimed at reviewing the benefits and challenges of personalized mobile health (PMH) for elderly home care. With a systematic review methodology, 1895 records were retrieved by searching four databases. After removing duplicates, 1703 articles remained. Following full-text examination, 21 articles that met the inclusion criteria were studied in detail, and the output was presented in different tables. The results indicated that 25% of the challenges were related to privacy, cybersecurity, and data ownership (10%), technology (7.5%), and implementation (7.5%). The most frequent benefits were related to cost-saving (17.5%), nurse engagement improvement (10%), and caregiver stress reduction (7.5%). In general, the number of benefits in this study was slightly higher than the challenges, but in order to use PMH technologies, the challenges presented in this study must be carefully considered and a suitable solution must be adopted. Benefits can also be helpful in persuading individuals and health-care providers. This study shed light on those points that need to be highlighted for further work in order to convert the challenges toward benefits.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"5390712"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9194758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Apps in Clinical Practice: Usage Behaviour of Trauma Surgeons and Radiologists in Northern Germany.","authors":"Marie Keitsch,&nbsp;Alonja Reiter,&nbsp;André Strahl,&nbsp;Karl-Heinz Frosch,&nbsp;Josephine Berger-Groch,&nbsp;Matthias Priemel","doi":"10.1155/2023/3930820","DOIUrl":"https://doi.org/10.1155/2023/3930820","url":null,"abstract":"<p><strong>Introduction: </strong>Apps, in general, are an integral part of our daily lives. To investigate the current usage behaviour of trauma surgeons and radiologists regarding medical apps in clinical practice and to find out if and how the current range of medical apps can be improved, we surveyed trauma surgeons and radiologists in northern Germany. <i>Material and Methods</i>. An online questionnaire was sent to 100 trauma surgeons and 100 radiologists in northern Germany. Participants were asked about the frequency of their use of medical apps in clinical practice, which apps were used most often, how useful participants thought apps were, and in which area they would like to see improvements. The most frequently mentioned apps were finally analyzed.</p><p><strong>Results: </strong>The survey study showed that 87.4% of the trauma surgeons and 67.4% of the radiologists use medical apps on a regular basis at work. It also revealed that trauma surgeons used medical apps much more often than radiologists and that young doctors were more likely to rely on medical apps than chief physicians. 80.0% of the participants would pay at least 5 euros for a medical app. Trauma surgeons see the greatest need for support in their daily work from medical apps in the area of treatment, while radiologists seek more support in the area of classification.</p><p><strong>Conclusion: </strong>The study underscored the broad acceptance of medical apps in everyday clinical practice. As the physicians are willing to spend money and stated a general interest and need for further developments, there is high potential for the future. This trial is registered with DRKS00026766.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"3930820"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412380/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9978688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Findings from a Statewide Teleretina Diabetic Retinopathy Screening Program in Arkansas.","authors":"Megan Shirey,&nbsp;Alexander Kwok,&nbsp;Holly Jenkins,&nbsp;Sami Uwaydat","doi":"10.1155/2023/3233803","DOIUrl":"https://doi.org/10.1155/2023/3233803","url":null,"abstract":"<p><strong>Introduction: </strong>A significant proportion of diabetic patients in the United States do not present for annual dilated eye exams to monitor for signs of diabetic retinopathy (DR). The purpose of this study was to analyze the results of a statewide, multiclinic teleretina program designed to screen rural Arkansans for this sight-debilitating disease.</p><p><strong>Methods: </strong>Patients with diabetes seen at 10 primary care clinics across Arkansas were offered teleretinal-imaging services. Images were transmitted to the University of Arkansas for Medical Sciences' (UAMS) Harvey and Bernice Jones Eye Institute (JEI) for grading and recommendations for further treatment.</p><p><strong>Results: </strong>From February 2019 to May 2022, 668 patients underwent imaging; 645 images were deemed of sufficient quality to generate an interpretation. 541 patients had no evidence of DR, while 104 patients had some evidence of DR. 587 patients had no evidence of maculopathy, while 58 patients had some evidence of maculopathy on imaging. 246 patients had other pathology evident on imaging, with the most common being hypertensive retinopathy, glaucoma suspects, and cataracts. <i>Discussion</i>. In a rural, primary care setting, the JEI teleretina program identifies DR and other nondiabetic ocular pathologies, allowing for an appropriate triage for eye care for patients in a predominantly rural state.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"3233803"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10065851/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9610556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experiences on the Utility and Barriers of Telemedicine in Healthcare Delivery in Kenya.","authors":"Simon Onsongo,&nbsp;Charles Kamotho,&nbsp;Tobias F Rinke de Wit,&nbsp;Kinga Lowrie","doi":"10.1155/2023/1487245","DOIUrl":"https://doi.org/10.1155/2023/1487245","url":null,"abstract":"<p><strong>Introduction: </strong>Telemedicine is the provision of health services over a distance using information communication technology devices. Telemedicine is emerging as a promising component of healthcare care delivery worldwide, accelerated by the COVID-19 pandemic. This study assessed the factors promoting uptake, barriers, and opportunities for telemedicine among doctors in Kenya. <i>Methodology</i>. A semiquantitative, cross-sectional online survey was conducted among doctors in Kenya. During a month, between February and March 2021, 1,200 doctors were approached by email and WhatsApp, of whom 13% responded. <i>Findings</i>. A total of 157 interviewees participated in the study. The general usage of telemedicine was 50%. Seventy-three percent of doctors reported using a mix of in-person care and telemedicine. Fifty percent reported using telemedicine to support physician-to-physician consultations. Telemedicine had limited utility as a standalone clinical service. The inadequate information communication technology infrastructure was the most reported barrier to telemedicine, followed by a cultural resistance to using technology to deliver healthcare services. Other notable barriers were the high cost of initial setup limited skills among patients, limited skills among doctors, inadequate funding to support telemedicine services, weak legislative/policy framework, and lack of dedicated time for telemedicine services. The COVID-19 pandemic increased the uptake of telemedicine in Kenya.</p><p><strong>Conclusion: </strong>The most extensive use of telemedicine in Kenya supports physician-to-physician consultations. There is limited single use of telemedicine in providing direct clinical services to patients. However, telemedicine is regularly used in combination with in-person clinical services, allowing for continuity of clinical services beyond the physical hospital infrastructure. With the widespread adoption of digital technologies in Kenya, especially mobile telephone technologies, the growth opportunities for telemedicine services are immense. Numerous mobile applications will improve access capabilities for both service providers and users and bridge the gaps in care.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"1487245"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171985/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9467681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}