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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。
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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。
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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。
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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。
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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。
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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。
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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。
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引用次数: 2
Feedback Artificial Shuffled Shepherd Optimization-Based Deep Maxout Network for Human Emotion Recognition Using EEG Signals 基于反馈人工洗牌牧羊人优化的深度Maxout网络用于脑电信号的人类情绪识别
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-01-21 DOI: 10.1155/2022/3749413
K. S. Bhanumathi, D. Jayadevappa, Satish Tunga
Emotion recognition is very important for the humans in order to enhance the self-awareness and react correctly to the actions around them. Based on the complication and series of emotions, EEG-enabled emotion recognition is still a difficult issue. Hence, an effective human recognition approach is designed using the proposed feedback artificial shuffled shepherd optimization- (FASSO-) based deep maxout network (DMN) for recognizing emotions using EEG signals. The proposed technique incorporates feedback artificial tree (FAT) algorithm and shuffled shepherd optimization algorithm (SSOA). Here, median filter is used for preprocessing to remove the noise present in the EEG signals. The features, like DWT, spectral flatness, logarithmic band power, fluctuation index, spectral decrease, spectral roll-off, and relative energy, are extracted to perform further processing. Based on the data augmented results, emotion recognition can be accomplished using the DMN, where the training process of the DMN is performed using the proposed FASSO method. Furthermore, the experimental results and performance analysis of the proposed algorithm provide efficient performance with respect to accuracy, specificity, and sensitivity with the maximal values of 0.889, 0.89, and 0.886, respectively.
情感识别对于人类来说非常重要,以增强自我意识并对周围的行为做出正确的反应。基于复杂的一系列情绪,脑电情感识别仍然是一个难题。因此,使用所提出的基于反馈人工洗牌牧羊人优化(FASSO)的深度最大网络(DMN),设计了一种有效的人类识别方法,用于使用EEG信号识别情绪。该技术结合了反馈人工树(FAT)算法和混洗牧羊人优化算法(SSOA)。这里,中值滤波器用于预处理,以去除EEG信号中存在的噪声。提取DWT、谱平坦度、对数带功率、波动指数、谱下降、谱滚降和相对能量等特征进行进一步处理。基于数据增强的结果,可以使用DMN来完成情绪识别,其中DMN的训练过程使用所提出的FASSO方法来执行。此外,所提出的算法的实验结果和性能分析在准确性、特异性和敏感性方面提供了有效的性能,最大值分别为0.889、0.89和0.886。
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引用次数: 2
Impact of COVID-19 on the 937 Telephone Medical Consultation Service in Saudi Arabia. 新冠肺炎疫情对沙特937电话医疗咨询服务的影响
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-01-18 eCollection Date: 2022-01-01 DOI: 10.1155/2022/4181322
Najla J Alhraiwil, Sinaa Al-Aqeel, Amjad F AlFaleh, Alaa A AlAgeel, Mostafa A AlAbed, Walid A Al-Shroby

The impact of COVID-19 on healthcare services has been profound. One major impact has been underutilization of traditional healthcare services by patients. In 2020, the Saudi Ministry of Health (MoH) started offering general COVID-19 enquiries, education, and medical and psychological consultations around the clock via their 937-Call Center. Given this major change, there was a need to understand the impact of the COVID-19 pandemic on Call Center services, specifically medical consultations, to suggest future recommendations for patient care optimization. This descriptive study analyzed routinely collected data on the 937-Call Center service between March 2020 and September 2020. Data were reviewed, coded, verified, and analyzed using SPSS v22. There was a 296% increase in the number of calls received by the 937-Call Center in 2020 compared to the same period in 2019. The majority of calls received in 2020 were general medical enquiries (98.41%), but about three million COVID-19-specific enquiries were also received in 2020. The increased number of calls was managed by accepting volunteers to handle calls: an average of 236 volunteers per month, handling about 20% of the total call volume. The majority of volunteers were physicians but with the presence of pharmacists, psychologists, and specialized healthcare workers such as nutritionists. Utilization of the 937-Call Center increased during the COVID-19 pandemic, suggesting that it has been an effective strategy for combatting the COVID-19 pandemic in Saudi Arabia. Further research is recommended to investigate the impact of COVID-19 on public awareness of the 937-Call Center and other health-related mobile apps.

COVID-19对医疗保健服务的影响是深远的。一个主要影响是患者对传统保健服务的利用不足。2020年,沙特卫生部(MoH)开始通过其937呼叫中心全天候提供COVID-19一般性查询、教育以及医疗和心理咨询。鉴于这一重大变化,有必要了解COVID-19大流行对呼叫中心服务的影响,特别是医疗咨询,以便为优化患者护理提出未来的建议。这项描述性研究分析了2020年3月至2020年9月期间937呼叫中心服务的常规收集数据。使用SPSS v22对数据进行审查、编码、验证和分析。与2019年同期相比,937呼叫中心在2020年接到的呼叫数量增加了296%。2020年收到的大多数电话是一般医疗咨询(98.41%),但2020年也收到了约300万次针对covid -19的咨询。增加的电话数量是通过接受志愿者来处理电话来管理的:平均每月236名志愿者,处理总电话量的20%左右。大多数志愿者是医生,但也有药剂师、心理学家和营养学家等专业保健工作者。在2019冠状病毒病大流行期间,937呼叫中心的使用率有所增加,这表明这是沙特阿拉伯应对COVID-19大流行的有效战略。建议进一步研究COVID-19对公众对937呼叫中心和其他与健康相关的移动应用程序的认识的影响。
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引用次数: 4
Setting Up a Teleneurology Clinic during COVID-19 Pandemic: Experience from an Academic Practice. 在新冠肺炎大流行期间建立远程神经病学诊所:学术实践的经验
IF 4.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2022-01-18 eCollection Date: 2022-01-01 DOI: 10.1155/2022/4776328
Nakul Katyal, Naureen Narula, Raghav Govindarajan, Pradeep Sahota

The declaration of the COVID-19 pandemic necessitated rapid implementation of telehealth across all neurological subspecialties. Transitioning to telehealth technology can be challenging for physicians and health care facilities with no prior experience. Here, we describe our experience at the Neurology and Sleep Disorders Clinic at the University of Missouri-Columbia of successful transition of all in-person clinic visits to telehealth visits within a span of 2 weeks with a collaborative effort of clinic staff and the leadership. Within a month of launch, 18 clinic providers with no prior telehealth experience conducted 1451 telehealth visits, which was the 2nd highest number of telehealth visits conducted by any department at the University of Missouri-Columbia Health Care system. Lack of connectivity, poor video/audio quality, and unavailability of smart devices among rural populations were the important shortcomings identified during our telehealth experience. Our study highlighted the need for expansion of high-speed internet access across rural Missouri. We hope our experience will help other health care facilities to learn and incorporate telehealth technology at their facilities, overcome the associated challenges, and serve patient needs while limiting the spread of the COVID-19.

宣布COVID-19大流行后,需要在所有神经学亚专科迅速实施远程医疗。过渡到远程医疗技术对于没有经验的医生和卫生保健机构来说可能具有挑战性。在这里,我们描述了我们在密苏里-哥伦比亚大学神经病学和睡眠障碍诊所的经验,在诊所工作人员和领导的共同努力下,在两周内成功地将所有面对面的诊所就诊转变为远程医疗就诊。在启动的一个月内,18个没有远程医疗经验的诊所提供者进行了1451次远程医疗访问,这是密苏里-哥伦比亚大学医疗保健系统所有部门进行的第二高的远程医疗访问。缺乏连接、视频/音频质量差以及农村人口无法获得智能设备是我们在远程医疗经验中发现的重要缺点。我们的研究强调了在密苏里州农村地区扩大高速互联网接入的必要性。我们希望我们的经验能够帮助其他医疗机构学习和采用远程医疗技术,克服相关挑战,满足患者需求,同时限制COVID-19的传播。
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引用次数: 2
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International Journal of Telemedicine and Applications
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