首页 > 最新文献

International Journal of Telemedicine and Applications最新文献

英文 中文
Multifactor Authentication for Smart Emergency Medical Response Transporters. 智能医疗应急响应载体的多因素认证。
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-09-23 eCollection Date: 2022-01-01 DOI: 10.1155/2022/5394942
Turki Alghamdi, Fayez Gebali, Fares Salem

Securing telehealth IoT infrastructure is essential to provide high-level medical care and prevent cyberattacks. A vulnerable stage in IoT telehealth is while the patient is being transported to a healthcare facility, the transporter could be an ambulance or an air ambulance. In this paper, we propose a multifactor authentication scheme to secure the system when the patient is in transit to the healthcare facility. We apply this scheme to an ambulance, using physical unclonable functions (PUFs) embedded in the ambulance to facilitate authentication and secure key exchange. We validated the security of the proposed scheme using formal and informal security analysis. The analysis supports our claim that the proposed scheme protects against many types of attacks.

确保远程医疗物联网基础设施的安全对于提供高水平医疗服务和防止网络攻击至关重要。物联网远程医疗的一个脆弱阶段是,当患者被运送到医疗机构时,运输工具可能是救护车或空中救护车。在本文中,我们提出了一个多因素身份验证方案,以便在患者前往医疗机构的途中保护系统。我们将此方案应用于救护车,使用嵌入在救护车中的物理不可克隆函数(puf)来促进身份验证和安全密钥交换。我们使用正式和非正式的安全性分析验证了所提议方案的安全性。分析支持了我们的说法,即所提出的方案可以防止多种类型的攻击。
{"title":"Multifactor Authentication for Smart Emergency Medical Response Transporters.","authors":"Turki Alghamdi,&nbsp;Fayez Gebali,&nbsp;Fares Salem","doi":"10.1155/2022/5394942","DOIUrl":"https://doi.org/10.1155/2022/5394942","url":null,"abstract":"<p><p>Securing telehealth IoT infrastructure is essential to provide high-level medical care and prevent cyberattacks. A vulnerable stage in IoT telehealth is while the patient is being transported to a healthcare facility, the transporter could be an ambulance or an air ambulance. In this paper, we propose a multifactor authentication scheme to secure the system when the patient is in transit to the healthcare facility. We apply this scheme to an ambulance, using physical unclonable functions (PUFs) embedded in the ambulance to facilitate authentication and secure key exchange. We validated the security of the proposed scheme using formal and informal security analysis. The analysis supports our claim that the proposed scheme protects against many types of attacks.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2022 ","pages":"5394942"},"PeriodicalIF":4.4,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33486776","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}
引用次数: 1
Factors Associated with Arkansans' First Use of Telehealth during the COVID-19 Pandemic. 与阿肯色州在COVID-19大流行期间首次使用远程医疗相关的因素
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-06-28 eCollection Date: 2022-01-01 DOI: 10.1155/2022/5953027
Jennifer A Andersen, Holly C Felix, Dejun Su, James P Selig, Shawn Ratcliff, Pearl A McElfish

Objective: To examine the factors associated with the first use of telehealth during the COVID-19 pandemic using Andersen's Model of Healthcare Utilization. Andersen's Model of Healthcare Utilization allowed the categorization of the independent variables into the following: (1) predisposing factors, including sociodemographic variables and health beliefs; (2) enabling factors, including socioeconomic status and access to care; and (3) need for care, including preexisting or newly diagnosed conditions and reasons to seek out care or to utilize a new mode of care.

Methods: Potential respondents (n = 4,077) were identified for recruitment from a volunteer registry in Arkansas. Recruitment emails provided a study description, the opportunity to verify meeting the study's inclusion criteria and to consent for participation, and a link to follow to complete the survey online. The online survey responses were collected between July and August of 2020 (n = 1,137).

Results: Telehealth utilization included two categories: (1) utilizers reported the first use of telehealth services during the pandemic, and (2) nonutilizers reported they had never used telehealth. Lower odds of reporting telehealth utilization during the pandemic were associated with race (Black; OR = 0.57, CI [0.33, 0.96]) and education (high School or less; OR = 0.45, CI [0.25, 0.83]). Higher odds of reporting telehealth utilization included having more than one provider (OR = 2.33, CI [1.30, 4.18]), more physical (OR = 1.12, CI [1.00, 1.25]) and mental (OR 1.53, CI [1.24, 1.88]) health conditions, and changes in healthcare delivery during the pandemic (OR = 3.49, CI [2.78, 4.38]).

Conclusions: The results illustrate that disparities exist in Arkansans' utilization of telehealth services during the pandemic. Future research should explore the disparities in telehealth utilization and how telehealth may be used to address disparities in care for Black Arkansans and those with low socioeconomic status.

目的:利用Andersen的医疗保健利用模型,探讨COVID-19大流行期间远程医疗首次使用的相关因素。安徒生的医疗保健利用模型允许将自变量分为以下几类:(1)诱发因素,包括社会人口变量和健康信念;(2)有利因素,包括社会经济地位和获得保健的机会;(3)需要护理,包括先前存在或新诊断的疾病以及寻求护理或使用新护理模式的原因。方法:从阿肯色州的志愿者登记处确定潜在的受访者(n = 4,077)进行招募。招募邮件提供了研究描述,验证是否符合研究的纳入标准和同意参与的机会,以及一个链接,以完成在线调查。在线调查回复是在2020年7月至8月期间收集的(n = 1137)。结果:远程医疗利用包括两类:(1)利用者报告在大流行期间首次使用远程医疗服务,(2)非利用者报告他们从未使用过远程医疗。大流行期间报告远程医疗利用的几率较低与种族有关(Black;OR = 0.57, CI[0.33, 0.96])和教育程度(高中以下;Or = 0.45, ci[0.25, 0.83])。报告远程医疗利用的较高几率包括拥有多个提供者(OR = 2.33, CI[1.30, 4.18]),更多的身体健康状况(OR = 1.12, CI[1.00, 1.25])和精神健康状况(OR = 1.53, CI[1.24, 1.88]),以及大流行期间医疗保健服务的变化(OR = 3.49, CI[2.78, 4.38])。结论:结果表明,在疫情期间,阿肯色州利用远程医疗服务的情况存在差异。未来的研究应探讨远程医疗利用方面的差异,以及如何利用远程医疗来解决阿肯色州黑人和社会经济地位较低的人在护理方面的差异。
{"title":"Factors Associated with Arkansans' First Use of Telehealth during the COVID-19 Pandemic.","authors":"Jennifer A Andersen,&nbsp;Holly C Felix,&nbsp;Dejun Su,&nbsp;James P Selig,&nbsp;Shawn Ratcliff,&nbsp;Pearl A McElfish","doi":"10.1155/2022/5953027","DOIUrl":"https://doi.org/10.1155/2022/5953027","url":null,"abstract":"<p><strong>Objective: </strong>To examine the factors associated with the first use of telehealth during the COVID-19 pandemic using Andersen's Model of Healthcare Utilization. Andersen's Model of Healthcare Utilization allowed the categorization of the independent variables into the following: (1) predisposing factors, including sociodemographic variables and health beliefs; (2) enabling factors, including socioeconomic status and access to care; and (3) need for care, including preexisting or newly diagnosed conditions and reasons to seek out care or to utilize a new mode of care.</p><p><strong>Methods: </strong>Potential respondents (<i>n</i> = 4,077) were identified for recruitment from a volunteer registry in Arkansas. Recruitment emails provided a study description, the opportunity to verify meeting the study's inclusion criteria and to consent for participation, and a link to follow to complete the survey online. The online survey responses were collected between July and August of 2020 (<i>n</i> = 1,137).</p><p><strong>Results: </strong>Telehealth utilization included two categories: (1) <i>utilizers</i> reported the first use of telehealth services during the pandemic, and (2) <i>nonutilizers</i> reported they had never used telehealth. Lower odds of reporting telehealth utilization during the pandemic were associated with race (Black; OR = 0.57, CI [0.33, 0.96]) and education (high School or less; OR = 0.45, CI [0.25, 0.83]). Higher odds of reporting telehealth utilization included having more than one provider (OR = 2.33, CI [1.30, 4.18]), more physical (OR = 1.12, CI [1.00, 1.25]) and mental (OR 1.53, CI [1.24, 1.88]) health conditions, and changes in healthcare delivery during the pandemic (OR = 3.49, CI [2.78, 4.38]).</p><p><strong>Conclusions: </strong>The results illustrate that disparities exist in Arkansans' utilization of telehealth services during the pandemic. Future research should explore the disparities in telehealth utilization and how telehealth may be used to address disparities in care for Black Arkansans and those with low socioeconomic status.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":"5953027"},"PeriodicalIF":4.4,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40461847","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}
引用次数: 3
An Enhanced Posture Prediction-Bayesian Network Algorithm for Sleep Posture Recognition in Wireless Body Area Networks 一种用于无线体域网络睡眠姿势识别的增强型姿势预测贝叶斯网络算法
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-05-28 DOI: 10.1155/2022/3102545
A. Roshini, K. Kiran
Wireless body area networks have taken their unique recognition in providing consistent facilities in health monitoring. Several studies influence physiological signal monitoring through a centralized approach using star topology in regular activities like standing, walking, sitting, and running which are considered active postures. Unlike regular activities like walking, standing, sitting, and running, the in-bed sleep posture monitoring of a subject is highly necessary for those who have undergone surgery, victims of breathing problems, and victims of COVID-19 for whom oxygen imbalance is a major issue as the mortality rate in sleep is high due to unattended patients. Suggestions from the medical field state that the patients with the above-mentioned issues are highly suggested to follow the prone sleep posture that enables them to maintain the oxygen level in the human body. A distributed model of communication is used where mesh topology is used for the data packets to be carried in a relay fashion to the sink. Heartbeat rate (HBR) and image monitoring of the subject during sleep are closely monitored and taken as input to the proposed posture prediction-Bayesian network (PP-BN) to predict the consecutive postures to increase the accuracy rate of posture recognition. The accuracy rate of the model outperforms the existing classification and prediction algorithms which take the cleaned dataset as input for better prediction results.
无线身体区域网络在提供一致的健康监测设施方面获得了独特的认可。几项研究通过在站立、行走、坐着和跑步等被视为活动姿势的常规活动中使用星形拓扑结构的集中方法来影响生理信号监测。与散步、站立、坐着和跑步等常规活动不同,对于那些接受过手术的人、呼吸问题的受害者和新冠肺炎患者来说,床上睡眠姿势监测是非常必要的,因为无人看管的患者导致睡眠中的死亡率很高,因此氧气失衡是他们的主要问题。医学界的建议指出,强烈建议有上述问题的患者采用俯卧的睡眠姿势,以保持人体内的氧气水平。使用分布式通信模型,其中网状拓扑用于以中继方式传送到信宿的数据分组。密切监测受试者在睡眠期间的心跳率(HBR)和图像监测,并将其作为所提出的姿势预测贝叶斯网络(PP-BN)的输入,以预测连续的姿势,从而提高姿势识别的准确率。该模型的准确率优于现有的分类和预测算法,后者以清理后的数据集作为输入,以获得更好的预测结果。
{"title":"An Enhanced Posture Prediction-Bayesian Network Algorithm for Sleep Posture Recognition in Wireless Body Area Networks","authors":"A. Roshini, K. Kiran","doi":"10.1155/2022/3102545","DOIUrl":"https://doi.org/10.1155/2022/3102545","url":null,"abstract":"Wireless body area networks have taken their unique recognition in providing consistent facilities in health monitoring. Several studies influence physiological signal monitoring through a centralized approach using star topology in regular activities like standing, walking, sitting, and running which are considered active postures. Unlike regular activities like walking, standing, sitting, and running, the in-bed sleep posture monitoring of a subject is highly necessary for those who have undergone surgery, victims of breathing problems, and victims of COVID-19 for whom oxygen imbalance is a major issue as the mortality rate in sleep is high due to unattended patients. Suggestions from the medical field state that the patients with the above-mentioned issues are highly suggested to follow the prone sleep posture that enables them to maintain the oxygen level in the human body. A distributed model of communication is used where mesh topology is used for the data packets to be carried in a relay fashion to the sink. Heartbeat rate (HBR) and image monitoring of the subject during sleep are closely monitored and taken as input to the proposed posture prediction-Bayesian network (PP-BN) to predict the consecutive postures to increase the accuracy rate of posture recognition. The accuracy rate of the model outperforms the existing classification and prediction algorithms which take the cleaned dataset as input for better prediction results.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49615983","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}
引用次数: 3
Efficacy of Telemedicine Utilization for Cardiac Outpatients' Care during the Pandemic of COVID-19: A Large Center Experience in the Wave of the Pandemic. COVID-19大流行期间远程医疗在心脏门诊护理中的应用效果:大流行浪潮中的大中心体验
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-05-17 eCollection Date: 2022-01-01 DOI: 10.1155/2022/4156436
Wesam A Alhejily

Introduction: Synchronous telemedicine using teleconferencing may play a role in clinical care. In a tertiary care center, video conferencing-enhanced virtual clinics were established via a new application platform. They were introduced during COVID-19 pandemic to connect patients to trained health-care providers via a secured line. While maintaining patients' privacy, they were theorized to offer effective communications and continuous clinical care. In this cross-sectional cohort study, we ought to examine the impact of service and the assistance they may offer to cardiac patients in the outpatient setup.

Methods: A prospective cohort study looking at all video-conferencing virtual clinics' visits during the pandemic with primary focus on cardiac outpatient clinic, addressing primary endpoints of need for admission or emergency visits from cardiac demises during the pandemic and secondary endpoint of patient satisfaction based on patients' experiences.

Results: A total of 6000 live care video-based chats were made over 10 months period from March 10th, 2020, to January 30th, 2021, among which 277 patients were evaluated in the virtual cardiac clinic, of these 193 (69.7%) were males, with mean age of 48 ± 15.60 (22.3%), patients were requested to present to clinic for further evaluation and testing, 20 (7.2%) patients were asked to visit the emergency room, of whom 8 (2.8%) patients were hospitalized. All 8 were admitted for high-risk findings that require immediate medical attention, 4/8 underwent cardiac catheterization, mean duration of admission was 2 ± 1 days. When compared to regular walk-in care, there was a statistical difference in admission rate and emergency visits p = 0.001 and p = 0.0001, respectively, both were statistically higher in the virtual clinic. The satisfaction rate in a 5-scale grading system was 97% of 4 and above recommending the continuation of the service beyond pandemic time.

Conclusions: Video-enhanced virtual cardiology clinic works safely and efficiently during COVID-19 pandemic with a difference in admission rate and ER visits when compared to walk-in clinic. It can be used during nonpandemic time to reduce load on hospital and clinic crowdedness. It also decreases the chances of COVID-19 transmission indirectly by reenforcing physical distance.

引言使用电话会议的同步远程医疗可能在临床护理中发挥作用。在一个三级护理中心,通过一个新的应用平台建立了视频会议增强型虚拟诊所。它们是在新冠肺炎大流行期间引入的,通过安全线路将患者与训练有素的医疗保健提供者联系起来。在维护患者隐私的同时,他们被认为可以提供有效的沟通和持续的临床护理。在这项横断面队列研究中,我们应该检查服务的影响以及他们在门诊设置中可能为心脏病患者提供的帮助。方法一项前瞻性队列研究,观察了疫情期间所有视频会议虚拟诊所的就诊情况,主要关注心脏门诊,解决了疫情期间心脏病患者入院或急诊需求的主要终点,以及基于患者体验的患者满意度的次要终点。结果从2020年3月10日到2021年1月30日,在10个月的时间里,共进行了6000次基于视频的实时护理聊天,其中277名患者在虚拟心脏诊所接受了评估,其中193名(69.7%)为男性,平均年龄为48±15.60(22.3%),患者被要求到诊所进行进一步评估和测试,20名(7.2%)患者被要求到急诊室就诊,其中8名(2.8%)患者住院治疗。所有8人都因高风险发现而入院,需要立即就医,4/8人接受了心导管插入术,平均入院时间为2±1 天。与常规预约护理相比,入院率和急诊就诊率分别存在统计学差异,p=0.001和p=0.0001,在虚拟诊所中这两个数字在统计学上都更高。在5级评分系统中,4级及以上的满意度为97%,建议在疫情期间后继续提供服务。结论视频增强虚拟心脏病诊所在新冠肺炎大流行期间安全有效地工作,与非预约诊所相比,入院率和急诊就诊率有所不同。它可以在非流行时期使用,以减少医院和诊所拥挤的负担。它还通过重新建立物理距离间接降低了新冠肺炎传播的机会。
{"title":"Efficacy of Telemedicine Utilization for Cardiac Outpatients' Care during the Pandemic of COVID-19: A Large Center Experience in the Wave of the Pandemic.","authors":"Wesam A Alhejily","doi":"10.1155/2022/4156436","DOIUrl":"10.1155/2022/4156436","url":null,"abstract":"<p><strong>Introduction: </strong>Synchronous telemedicine using teleconferencing may play a role in clinical care. In a tertiary care center, video conferencing-enhanced virtual clinics were established via a new application platform. They were introduced during COVID-19 pandemic to connect patients to trained health-care providers via a secured line. While maintaining patients' privacy, they were theorized to offer effective communications and continuous clinical care. In this cross-sectional cohort study, we ought to examine the impact of service and the assistance they may offer to cardiac patients in the outpatient setup.</p><p><strong>Methods: </strong>A prospective cohort study looking at all video-conferencing virtual clinics' visits during the pandemic with primary focus on cardiac outpatient clinic, addressing primary endpoints of need for admission or emergency visits from cardiac demises during the pandemic and secondary endpoint of patient satisfaction based on patients' experiences.</p><p><strong>Results: </strong>A total of 6000 live care video-based chats were made over 10 months period from March 10<sup>th</sup>, 2020, to January 30<sup>th</sup>, 2021, among which 277 patients were evaluated in the virtual cardiac clinic, of these 193 (69.7%) were males, with mean age of 48 ± 15.60 (22.3%), patients were requested to present to clinic for further evaluation and testing, 20 (7.2%) patients were asked to visit the emergency room, of whom 8 (2.8%) patients were hospitalized. All 8 were admitted for high-risk findings that require immediate medical attention, 4/8 underwent cardiac catheterization, mean duration of admission was 2 ± 1 days. When compared to regular walk-in care, there was a statistical difference in admission rate and emergency visits <i>p</i> = 0.001 and <i>p</i> = 0.0001, respectively, both were statistically higher in the virtual clinic. The satisfaction rate in a 5-scale grading system was 97% of 4 and above recommending the continuation of the service beyond pandemic time.</p><p><strong>Conclusions: </strong>Video-enhanced virtual cardiology clinic works safely and efficiently during COVID-19 pandemic with a difference in admission rate and ER visits when compared to walk-in clinic. It can be used during nonpandemic time to reduce load on hospital and clinic crowdedness. It also decreases the chances of COVID-19 transmission indirectly by reenforcing physical distance.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2022 1","pages":"4156436"},"PeriodicalIF":3.1,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43580260","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}
引用次数: 0
A Smart Chatbot for Interactive Management in Beta Thalassemia Patients 用于β地中海贫血患者交互管理的智能聊天机器人
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-05-11 DOI: 10.1155/2022/9734518
Alma Mohammed Alturaiki, H. Banjar, A. Barefah, Salwa A. Alnajjar, S. Hindawi
Background β-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of β-thalassemia patients. This life-saving therapy is linked to numerous assessments and complications that now comprise most thalassemia management considerations. Consequently, many patients do not receive adequate information about the required assessments, as indicated by evidence-based medical guidelines. Patients with β-thalassemia may benefit from chatbots that follow up on their condition and that provide the required assessment information. Self-management will hopefully have a positive impact on health outcomes. Objectives This study aims to develop a chatbot that can assist in the management of β-thalassemia by providing the assessment information required to monitor patients' statuses. Methods The chatbot operated as a messaging system. A question/answer system was created based on knowledge pertaining to β-thalassemia assembled from experts, medical guidelines, and articles. Recommendations regarding the patient's follow-up assessment are made based on the answers. Results A prototype was implemented to demonstrate how the chatbots could dynamically and flexibly provide the assessment information required to follow up on and monitor patients. A small sample of adults with β-thalassemia used the chatbot to examine the system's usability and perceived utility. A system usability scale and utility scale were implemented to complete a post-test survey. The chatbots were considered by 34 patients, of whom the majority (72%) found them easy to use, while more than 90% of patients considered their use beneficial. Most of the participants agreed that the chatbots could improve their knowledge about their β-thalassemia assessments. Conclusion Our findings suggest that chatbots can be beneficial to the development of recommended tests and management related to the assessment of β-thalassemia.
背景β-地中海贫血是一种遗传性血液病,由于β链的减少或缺失而影响血红蛋白分子的产生。输血治疗在延长β地中海贫血患者的寿命方面发挥了关键作用。这种挽救生命的疗法与许多评估和并发症有关,这些评估和并发症现在是地中海贫血管理的主要考虑因素。因此,正如循证医学指南所表明的那样,许多患者没有得到关于所需评估的充分信息。β-地中海贫血患者可能会从聊天机器人中受益,聊天机器人可以跟踪他们的病情并提供所需的评估信息。自我管理有望对健康结果产生积极影响。目的本研究旨在开发一种聊天机器人,通过提供监测患者状态所需的评估信息,帮助管理β-地中海贫血。方法聊天机器人作为一个消息系统运行。根据专家、医学指南和文章收集的有关β-地中海贫血的知识,创建了一个问答系统。根据这些答案提出有关患者后续评估的建议。结果实现了一个原型,以演示聊天机器人如何动态、灵活地提供跟踪和监测患者所需的评估信息。一小部分患有β地中海贫血的成年人使用聊天机器人来检查该系统的可用性和感知效用。系统可用性量表和效用量表用于完成测试后调查。34名患者考虑了聊天机器人,其中大多数(72%)认为它们很容易使用,而超过90%的患者认为它们的使用是有益的。大多数参与者一致认为,聊天机器人可以提高他们对β-地中海贫血评估的了解。结论我们的研究结果表明,聊天机器人有利于制定与β-地中海贫血评估相关的推荐测试和管理。
{"title":"A Smart Chatbot for Interactive Management in Beta Thalassemia Patients","authors":"Alma Mohammed Alturaiki, H. Banjar, A. Barefah, Salwa A. Alnajjar, S. Hindawi","doi":"10.1155/2022/9734518","DOIUrl":"https://doi.org/10.1155/2022/9734518","url":null,"abstract":"Background β-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of β-thalassemia patients. This life-saving therapy is linked to numerous assessments and complications that now comprise most thalassemia management considerations. Consequently, many patients do not receive adequate information about the required assessments, as indicated by evidence-based medical guidelines. Patients with β-thalassemia may benefit from chatbots that follow up on their condition and that provide the required assessment information. Self-management will hopefully have a positive impact on health outcomes. Objectives This study aims to develop a chatbot that can assist in the management of β-thalassemia by providing the assessment information required to monitor patients' statuses. Methods The chatbot operated as a messaging system. A question/answer system was created based on knowledge pertaining to β-thalassemia assembled from experts, medical guidelines, and articles. Recommendations regarding the patient's follow-up assessment are made based on the answers. Results A prototype was implemented to demonstrate how the chatbots could dynamically and flexibly provide the assessment information required to follow up on and monitor patients. A small sample of adults with β-thalassemia used the chatbot to examine the system's usability and perceived utility. A system usability scale and utility scale were implemented to complete a post-test survey. The chatbots were considered by 34 patients, of whom the majority (72%) found them easy to use, while more than 90% of patients considered their use beneficial. Most of the participants agreed that the chatbots could improve their knowledge about their β-thalassemia assessments. Conclusion Our findings suggest that chatbots can be beneficial to the development of recommended tests and management related to the assessment of β-thalassemia.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48238043","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}
引用次数: 2
Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network 基于轻量级深度卷积神经网络的疟疾诊断
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-04-15 DOI: 10.1155/2022/4176982
Varun Magotra, Mukesh Kumar Rohil
The applications of AI in the healthcare sector are increasing day by day. The application of convolutional neural network (CNN) and mask-region-based CNN (Mask-RCCN) to the medical domain has really revolutionized medical image analysis. CNNs have been prominently used for identification, classification, and feature extraction tasks, and they have delivered a great performance at these tasks. In our study, we propose a lightweight CNN, which requires less time to train, for identifying malaria parasitic red blood cells and distinguishing them from healthy red blood cells. To compare the accuracy of our model, we used transfer learning on two models, namely, the VGG-19 and the Inception v3. We train our model in three different configurations depending on the proportion of data being fed to the model for training. For all three configurations, our proposed model is able to achieve an accuracy of around 96%, which is higher than both the other models that we trained for the same three configurations. It shows that our model is able to perform better along with low computational requirements. Therefore, it can be used more efficiently and can be easily deployed for detecting malaria cells.
人工智能在医疗保健领域的应用日益增多。卷积神经网络(CNN)和基于掩模区域的CNN (Mask-RCCN)在医学领域的应用给医学图像分析带来了革命性的变化。cnn主要用于识别、分类和特征提取任务,并且在这些任务中表现出色。在我们的研究中,我们提出了一种轻量级的CNN,它需要更少的训练时间,用于识别疟疾寄生红细胞并将其与健康红细胞区分开来。为了比较我们模型的准确性,我们在两个模型上使用迁移学习,即VGG-19和Inception v3。我们在三种不同的配置中训练我们的模型,这取决于输入模型进行训练的数据的比例。对于这三种配置,我们提出的模型能够达到96%左右的精度,这比我们为相同的三种配置训练的其他模型都要高。结果表明,该模型在较低的计算需求下具有较好的性能。因此,它可以更有效地使用,并且可以很容易地用于检测疟疾细胞。
{"title":"Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network","authors":"Varun Magotra, Mukesh Kumar Rohil","doi":"10.1155/2022/4176982","DOIUrl":"https://doi.org/10.1155/2022/4176982","url":null,"abstract":"The applications of AI in the healthcare sector are increasing day by day. The application of convolutional neural network (CNN) and mask-region-based CNN (Mask-RCCN) to the medical domain has really revolutionized medical image analysis. CNNs have been prominently used for identification, classification, and feature extraction tasks, and they have delivered a great performance at these tasks. In our study, we propose a lightweight CNN, which requires less time to train, for identifying malaria parasitic red blood cells and distinguishing them from healthy red blood cells. To compare the accuracy of our model, we used transfer learning on two models, namely, the VGG-19 and the Inception v3. We train our model in three different configurations depending on the proportion of data being fed to the model for training. For all three configurations, our proposed model is able to achieve an accuracy of around 96%, which is higher than both the other models that we trained for the same three configurations. It shows that our model is able to perform better along with low computational requirements. Therefore, it can be used more efficiently and can be easily deployed for detecting malaria cells.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44299229","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}
引用次数: 8
Telepresence Robots at the Urology and Emergency Department: A Pilot Study Assessing Patients' and Healthcare Workers' Satisfaction 远程呈现机器人在泌尿外科和急诊科:一项评估患者和医护人员满意度的试点研究
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-03-15 DOI: 10.1155/2022/8787882
J. Laigaard, T. Fredskild, G. Fojecki
COVID-19 intensified interest in telemedicine, yet no study has evaluated the use of a telepresence robot on unselected urological patients. Therefore, we performed a survey study of patients, bedside caregivers and urologists, investigating the satisfaction and applicability of a telepresence robot (Beam Pro, Suitable Technologies, USA) at the urology ward and emergency department. The primary outcome was the number of patient encounters solved without the urologist's physical presence. Between March 2021 and May 2021, patients, caregivers, and urologists filled in 42, 35, and 54 questionnaires, respectively. Most patients were male (79%), with a mean age of 64 (SD ± 17). Two of the department's ten urologists participated. The urologists responded that physical examination was required in 7 (13%) encounters. The caregivers would have preferred the urologist physically present in 11 (31%) cases. Most patients (71%) “agreed” or “strongly agreed” that they were willing to be attended by a telepresence robot at future evaluations and generally, patients gave high satisfaction scores. Though implementation among the department's urologists was a major challenge, participating urologists reported that physical presence could be avoided in 87% of the patient encounters. Studies of patient-reported outcome measures comparing telemedical and physical patient encounters are needed.
COVID-19加剧了人们对远程医疗的兴趣,但没有研究评估远程呈现机器人在未选择的泌尿科患者中的使用。因此,我们对患者、床边护理人员和泌尿科医生进行了一项调查研究,调查远程呈现机器人(Beam Pro, Suitable Technologies, USA)在泌尿科病房和急诊科的满意度和适用性。主要结果是在没有泌尿科医生在场的情况下解决了患者就诊的次数。在2021年3月至2021年5月期间,患者、护理人员和泌尿科医生分别填写了42,35和54份问卷。大多数患者为男性(79%),平均年龄64岁(SD±17)。该科10名泌尿科医生中有2名参与了调查。泌尿科医生回答有7例(13%)就诊需要体格检查。在11例(31%)病例中,护理人员更希望泌尿科医生在场。大多数患者(71%)“同意”或“强烈同意”,他们愿意在未来的评估中由远程呈现机器人参与,总体而言,患者给出了很高的满意度分数。尽管在科室的泌尿科医生中实施是一个主要的挑战,但参与调查的泌尿科医生报告说,87%的患者可以避免身体接触。需要对患者报告的比较远程医疗和实际患者接触的结果进行研究。
{"title":"Telepresence Robots at the Urology and Emergency Department: A Pilot Study Assessing Patients' and Healthcare Workers' Satisfaction","authors":"J. Laigaard, T. Fredskild, G. Fojecki","doi":"10.1155/2022/8787882","DOIUrl":"https://doi.org/10.1155/2022/8787882","url":null,"abstract":"COVID-19 intensified interest in telemedicine, yet no study has evaluated the use of a telepresence robot on unselected urological patients. Therefore, we performed a survey study of patients, bedside caregivers and urologists, investigating the satisfaction and applicability of a telepresence robot (Beam Pro, Suitable Technologies, USA) at the urology ward and emergency department. The primary outcome was the number of patient encounters solved without the urologist's physical presence. Between March 2021 and May 2021, patients, caregivers, and urologists filled in 42, 35, and 54 questionnaires, respectively. Most patients were male (79%), with a mean age of 64 (SD ± 17). Two of the department's ten urologists participated. The urologists responded that physical examination was required in 7 (13%) encounters. The caregivers would have preferred the urologist physically present in 11 (31%) cases. Most patients (71%) “agreed” or “strongly agreed” that they were willing to be attended by a telepresence robot at future evaluations and generally, patients gave high satisfaction scores. Though implementation among the department's urologists was a major challenge, participating urologists reported that physical presence could be avoided in 87% of the patient encounters. Studies of patient-reported outcome measures comparing telemedical and physical patient encounters are needed.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48855134","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}
引用次数: 3
Healthcare Providers' Perspective about the Use of Telemedicine in Egypt: A National Survey. 医疗保健提供者对埃及使用远程医疗的看法:一项全国调查。
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-03-12 eCollection Date: 2022-01-01 DOI: 10.1155/2022/3811068
Mohamed Alboraie, Mohammad Abdalgaber, Naglaa Youssef, Inas Moaz, Nermeen Abdeen, Hazem Maarouf Abosheaishaa, Mina Tharwat Shokry, Fathiya El-Raey, Sabry Shaaban Asfour, Waleed A Abdeldayem, Adel Ahmed Hassan, Essam Eldeen M O Mahran, Mohammed Tag-Adeen, Omar Elshaarawy, Mohamed Ibrahim Radwan, Ahmed Altonbary, Yasser Fouad

Incorporation of telemedicine in general clinical practice is becoming a compelling need nowadays in the context of COVID-19 pandemic and its consequent burdens on the healthcare systems. Though telemedicine appears to be appealing and carries a lot of advantages, yet it is still faced by many challenges and barriers especially in developing countries. Our aim was to explore the impression of healthcare providers about telemedicine and its applicability in clinical practice in Egypt. A cross-sectional study was conducted among healthcare providers from different Egyptian governorates through a web-based survey. The survey gathered information about demographic, socioeconomic features of the enrolled healthcare participants; their knowledge, previous experience, impression about telemedicine, advantages of telemedicine over traditional medical services, barriers that may face telemedicine, and additional services that can be provided by telemedicine were also explored. Our study enrolled 642 healthcare providers from all over Egypt, 43.77% were females, of which 55.5% were physicians, 27.3% were nurses, 6.1% were technicians, 7.6% were administrative clerks, and 3.6% were medical directors. Sixty-four percent of participants reported that they have never used telemedicine. Smartphones were the most commonly used mean in the group who used telemedicine (65%), and smartphone applications were the favorable telemedicine service for about 50% of participants. Participants assumed that the use of telemedicine might not have a negative effect on the doctor-patient relationship but raised some concerns regarding the privacy and security of patients' data. Despite the fact that telemedicine appears to be appealing and widely accepted by healthcare providers, yet still, its implementation is confronted by some obstacles. Precise organizational guidelines need to be developed to clearly figure out the exact role of each healthcare provider to minimize their doubtfulness about telemedicine and to facilitate its adoption.

在2019冠状病毒病大流行及其给卫生保健系统带来负担的背景下,将远程医疗纳入一般临床实践已成为迫切需要。尽管远程医疗看起来很有吸引力并且具有很多优势,但它仍然面临着许多挑战和障碍,特别是在发展中国家。我们的目的是探讨医疗保健提供者对远程医疗的印象及其在埃及临床实践中的适用性。通过基于网络的调查,对来自埃及不同省份的医疗保健提供者进行了横断面研究。调查收集了登记的医疗保健参与者的人口统计学和社会经济特征信息;还探讨了他们的知识、以前的经验、对远程医疗的印象、远程医疗相对于传统医疗服务的优势、远程医疗可能面临的障碍以及远程医疗可以提供的其他服务。我们的研究纳入了来自埃及各地的642名医疗保健提供者,43.77%为女性,其中55.5%为医生,27.3%为护士,6.1%为技术人员,7.6%为行政文员,3.6%为医疗主任。64%的参与者报告说他们从未使用过远程医疗。在使用远程医疗的人群中,智能手机是最常用的工具(65%),而智能手机应用程序是约50%的参与者最喜欢的远程医疗服务。与会者认为,使用远程医疗可能不会对医患关系产生负面影响,但对患者数据的隐私和安全提出了一些关切。尽管远程医疗似乎具有吸引力并被医疗保健提供者广泛接受,但其实施仍面临一些障碍。需要制定精确的组织准则,以清楚地确定每个医疗保健提供者的确切角色,以尽量减少他们对远程医疗的怀疑,并促进其采用。
{"title":"Healthcare Providers' Perspective about the Use of Telemedicine in Egypt: A National Survey.","authors":"Mohamed Alboraie,&nbsp;Mohammad Abdalgaber,&nbsp;Naglaa Youssef,&nbsp;Inas Moaz,&nbsp;Nermeen Abdeen,&nbsp;Hazem Maarouf Abosheaishaa,&nbsp;Mina Tharwat Shokry,&nbsp;Fathiya El-Raey,&nbsp;Sabry Shaaban Asfour,&nbsp;Waleed A Abdeldayem,&nbsp;Adel Ahmed Hassan,&nbsp;Essam Eldeen M O Mahran,&nbsp;Mohammed Tag-Adeen,&nbsp;Omar Elshaarawy,&nbsp;Mohamed Ibrahim Radwan,&nbsp;Ahmed Altonbary,&nbsp;Yasser Fouad","doi":"10.1155/2022/3811068","DOIUrl":"https://doi.org/10.1155/2022/3811068","url":null,"abstract":"<p><p>Incorporation of telemedicine in general clinical practice is becoming a compelling need nowadays in the context of COVID-19 pandemic and its consequent burdens on the healthcare systems. Though telemedicine appears to be appealing and carries a lot of advantages, yet it is still faced by many challenges and barriers especially in developing countries. Our aim was to explore the impression of healthcare providers about telemedicine and its applicability in clinical practice in Egypt. A cross-sectional study was conducted among healthcare providers from different Egyptian governorates through a web-based survey. The survey gathered information about demographic, socioeconomic features of the enrolled healthcare participants; their knowledge, previous experience, impression about telemedicine, advantages of telemedicine over traditional medical services, barriers that may face telemedicine, and additional services that can be provided by telemedicine were also explored. Our study enrolled 642 healthcare providers from all over Egypt, 43.77% were females, of which 55.5% were physicians, 27.3% were nurses, 6.1% were technicians, 7.6% were administrative clerks, and 3.6% were medical directors. Sixty-four percent of participants reported that they have never used telemedicine. Smartphones were the most commonly used mean in the group who used telemedicine (65%), and smartphone applications were the favorable telemedicine service for about 50% of participants. Participants assumed that the use of telemedicine might not have a negative effect on the doctor-patient relationship but raised some concerns regarding the privacy and security of patients' data. Despite the fact that telemedicine appears to be appealing and widely accepted by healthcare providers, yet still, its implementation is confronted by some obstacles. Precise organizational guidelines need to be developed to clearly figure out the exact role of each healthcare provider to minimize their doubtfulness about telemedicine and to facilitate its adoption.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":"3811068"},"PeriodicalIF":4.4,"publicationDate":"2022-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934233/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40312465","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}
引用次数: 3
Remote ECG Monitoring by ECG247 Smart Heart Sensor. ECG247智能心脏传感器远程心电监测。
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-02-11 eCollection Date: 2022-01-01 DOI: 10.1155/2022/6812889
Jarle Jortveit, Rune Fensli

Background: Heart rhythm disorders are common and may be associated with serious complications. The quality of the ECG signal is crucial to detect and classify arrhythmias. Most available devices for assessment arrhythmias do not allow for remote monitoring. The Norwegian ECG247 Smart Heart Sensor is a new remote patch monitor developed to simplify the assessment of arrhythmias. This study was aimed at evaluating the quality of the ECG signal from the ECG247 Smart Heart Sensor compared to standard 12-lead ECG.

Methods: ECG recordings with ECG247 Smart Heart Sensor and a standard 12-lead ECG recorder were performed in 97 volunteers at Sorlandet Hospital, Arendal, Norway, in 2019. All ECGs were analysed by two independent cardiologists.

Results: A total of 97 participants (53% men, age 48 (±14) years) were included in the study. The ability for both systems to use recorded ECG data for arrhythmia detection was good (100%). The quality of the P-wave (mean score 1.1 vs. 1.5) and the QRS complex (mean score 1.0 vs. 1.0) from the ECG247 Smart Heart Sensor and that from the 12-lead ECG were comparable (scale: 1: extremely good, 9: not accepted). Noise artefacts were a minor issue in all recordings.

Conclusions: The ECG quality from the ECG247 Smart Heart Sensor was comparable to the ECG quality from the standard 12-lead ECG. The ECG247 Smart Heart Sensor may enable easy and remote diagnostics of heart rhythm disorders. This trial is registered with NCT04700865.

背景:心律失常是常见的,并可能伴有严重的并发症。心电信号的质量对心律失常的检测和分类至关重要。大多数可用于评估心律失常的设备不允许远程监测。挪威ECG247智能心脏传感器是一种新型远程贴片监测器,旨在简化心律失常的评估。本研究旨在评估ECG247智能心脏传感器与标准12导联心电图信号的质量。方法:2019年,使用ECG247智能心脏传感器和标准12导联心电图仪对挪威阿伦达尔Sorlandet医院的97名志愿者进行心电图记录。所有心电图均由两位独立的心脏病专家进行分析。结果:研究共纳入97名参与者,其中53%为男性,年龄48(±14)岁。两个系统使用记录的心电数据进行心律失常检测的能力都很好(100%)。ECG247智能心脏传感器和12导联心电图的p波质量(平均评分1.1 vs 1.5)和QRS复核(平均评分1.0 vs 1.0)具有可比性(评分:1:非常好,9:不接受)。噪音伪影在所有录音中都是一个小问题。结论:ECG247智能心脏传感器的心电图质量与标准12导联心电图的心电图质量相当。ECG247智能心脏传感器可以轻松远程诊断心律紊乱。该试验注册号为NCT04700865。
{"title":"Remote ECG Monitoring by ECG247 Smart Heart Sensor.","authors":"Jarle Jortveit,&nbsp;Rune Fensli","doi":"10.1155/2022/6812889","DOIUrl":"https://doi.org/10.1155/2022/6812889","url":null,"abstract":"<p><strong>Background: </strong>Heart rhythm disorders are common and may be associated with serious complications. The quality of the ECG signal is crucial to detect and classify arrhythmias. Most available devices for assessment arrhythmias do not allow for remote monitoring. The Norwegian ECG247 Smart Heart Sensor is a new remote patch monitor developed to simplify the assessment of arrhythmias. This study was aimed at evaluating the quality of the ECG signal from the ECG247 Smart Heart Sensor compared to standard 12-lead ECG.</p><p><strong>Methods: </strong>ECG recordings with ECG247 Smart Heart Sensor and a standard 12-lead ECG recorder were performed in 97 volunteers at Sorlandet Hospital, Arendal, Norway, in 2019. All ECGs were analysed by two independent cardiologists.</p><p><strong>Results: </strong>A total of 97 participants (53% men, age 48 (±14) years) were included in the study. The ability for both systems to use recorded ECG data for arrhythmia detection was good (100%). The quality of the P-wave (mean score 1.1 vs. 1.5) and the QRS complex (mean score 1.0 vs. 1.0) from the ECG247 Smart Heart Sensor and that from the 12-lead ECG were comparable (scale: 1: extremely good, 9: not accepted). Noise artefacts were a minor issue in all recordings.</p><p><strong>Conclusions: </strong>The ECG quality from the ECG247 Smart Heart Sensor was comparable to the ECG quality from the standard 12-lead ECG. The ECG247 Smart Heart Sensor may enable easy and remote diagnostics of heart rhythm disorders. This trial is registered with NCT04700865.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2022 ","pages":"6812889"},"PeriodicalIF":4.4,"publicationDate":"2022-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856830/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39939949","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}
引用次数: 3
Impact of Implementing Teleophthalmology Referral Guidelines Using the eyeSmart EMR App in 63,703 Patients from India. 使用eyeSmart EMR应用程序对63703名印度患者实施远程眼科转诊指南的影响
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-01-27 eCollection Date: 2022-01-01 DOI: 10.1155/2022/8523131
Anthony Vipin Das, Rohit C Khanna, Niranjan Kumar, Padmaja Kumari Rani

Objective: To describe the clinical indications and the impact of implementation of specific teleophthalmology referral guidelines in a large rural village vision centre network in India.

Methods: This cross-sectional vision centre-based study included 1,016,284 patients presenting between January 2017 and March 2020. Patients who were referred for a teleophthalmology opinion were included as cases. The data were collected using the eyeSmart EMR app on a smart tablet. A training intervention was done to reinforce the implementation of targeted teleophthalmology referral guidelines.

Results: Overall, 63,703 (6.3%) patients were referred for a teleophthalmology opinion and were included for analysis. The median age was 41 (IQR: 26-59) years, and adults (88.4%) were commonly referred for a consult. The two most common age groups were between 31-40 years (17.4%) and 21-30 years (16.3%), and the majority of patients were male (59.1%). The most common clinical indication was cornea and anterior segment disorders (71.05%). The most common queries for teleophthalmology referral before versus after the reinforcement of implementation of guidelines were red eye (33.4% vs. 45.6%) followed by cataract (21.2% vs. 8.1%). There was an increase in the red eye (<0.001) and a decrease in cataract (<0.001) which was statistically significant. The proportion of patients for whom a teleophthalmology consult could have been requested but not sent was minimal (2.3%).

Conclusion: Implementation of targeted teleophthalmology referral guidelines enables an effective triage to seek opinion for more pertinent ocular diseases that require care. Adult male patients with cornea and anterior segment disorders are most commonly referred for a teleophthalmology opinion.

目的:描述临床适应症和实施特定的远程眼科转诊指南在印度的一个大型农村视力中心网络的影响。方法:这项以横断面视觉中心为基础的研究纳入了2017年1月至2020年3月期间就诊的1,016,284例患者。患者谁被转诊远眼的意见包括作为病例。数据是通过智能平板电脑上的eyeSmart电子病历应用程序收集的。进行了培训干预,以加强实施有针对性的远视转诊指南。结果:总体而言,63,703例(6.3%)患者被转诊为远视医学意见并纳入分析。中位年龄为41岁(IQR: 26-59岁),成人(88.4%)常被转诊。最常见的两个年龄组为31-40岁(17.4%)和21-30岁(16.3%),以男性为主(59.1%)。最常见的临床指征是角膜及前段病变(71.05%)。在加强实施指南之前和之后,最常见的眼科转诊查询是红眼(33.4%对45.6%),其次是白内障(21.2%对8.1%)。红眼增加(结论:实施有针对性的远程眼科转诊指南可以有效地进行分诊,以便为需要护理的更相关的眼部疾病寻求意见。成年男性患者的角膜和前段疾病是最常见的参考远视病学意见。
{"title":"Impact of Implementing Teleophthalmology Referral Guidelines Using the eyeSmart EMR App in 63,703 Patients from India.","authors":"Anthony Vipin Das,&nbsp;Rohit C Khanna,&nbsp;Niranjan Kumar,&nbsp;Padmaja Kumari Rani","doi":"10.1155/2022/8523131","DOIUrl":"https://doi.org/10.1155/2022/8523131","url":null,"abstract":"<p><strong>Objective: </strong>To describe the clinical indications and the impact of implementation of specific teleophthalmology referral guidelines in a large rural village vision centre network in India.</p><p><strong>Methods: </strong>This cross-sectional vision centre-based study included 1,016,284 patients presenting between January 2017 and March 2020. Patients who were referred for a teleophthalmology opinion were included as cases. The data were collected using the eyeSmart EMR app on a smart tablet. A training intervention was done to reinforce the implementation of targeted teleophthalmology referral guidelines.</p><p><strong>Results: </strong>Overall, 63,703 (6.3%) patients were referred for a teleophthalmology opinion and were included for analysis. The median age was 41 (IQR: 26-59) years, and adults (88.4%) were commonly referred for a consult. The two most common age groups were between 31-40 years (17.4%) and 21-30 years (16.3%), and the majority of patients were male (59.1%). The most common clinical indication was cornea and anterior segment disorders (71.05%). The most common queries for teleophthalmology referral before versus after the reinforcement of implementation of guidelines were red eye (33.4% vs. 45.6%) followed by cataract (21.2% vs. 8.1%). There was an increase in the red eye (<0.001) and a decrease in cataract (<0.001) which was statistically significant. The proportion of patients for whom a teleophthalmology consult could have been requested but not sent was minimal (2.3%).</p><p><strong>Conclusion: </strong>Implementation of targeted teleophthalmology referral guidelines enables an effective triage to seek opinion for more pertinent ocular diseases that require care. Adult male patients with cornea and anterior segment disorders are most commonly referred for a teleophthalmology opinion.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2022 ","pages":"8523131"},"PeriodicalIF":4.4,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813305/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39893892","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}
引用次数: 2
期刊
International Journal of Telemedicine and Applications
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1