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Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices 实时医疗大数据分析模型,通过物联网设备提高心脏病预测的QoS
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-04-04 DOI: 10.1007/s12553-023-00747-1
M. Safa, A. Pandian, H. Gururaj, Vinayakumar Ravi, M. Krichen
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引用次数: 5
Imaging evaluated remotely through telemedicine as a reliable alternative for accurate diagnosis: a systematic review 通过远程医疗远程评估作为准确诊断的可靠替代方案的影像学:系统回顾
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-03-28 DOI: 10.1007/s12553-023-00745-3
Karla C. Maita, Luiza Palmieri-Serrano, Francisco R. Avila, Ricardo A. Torres-Guzman, John P. Garcia, Abdullah S. Eldaly, C. Haider, Christopher L. Felton, M. Paulson, M. Maniaci, A. Forte
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引用次数: 0
Narrative literature review of facilitators and barriers to implementing computerized maintenance management systems in low-middle-income countries 在中低收入国家实施计算机化维修管理系统的促进因素和障碍的叙述性文献综述
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-03-13 DOI: 10.1007/s12553-023-00743-5
Danielle Cohen, Nikolai Visnjic, D. Akaateba, Kelly Hadfield
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引用次数: 0
A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions MRI脑肿瘤分割方法的深度学习研究:趋势、挑战和未来方向
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-02-27 DOI: 10.1007/s12553-023-00737-3
Srigiri Krishnapriya, Y. Karuna
{"title":"A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions","authors":"Srigiri Krishnapriya, Y. Karuna","doi":"10.1007/s12553-023-00737-3","DOIUrl":"https://doi.org/10.1007/s12553-023-00737-3","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"54 1","pages":"181 - 201"},"PeriodicalIF":2.5,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78236261","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
Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records 利用电子健康记录中的非结构化数据研究日本癌症患者的真实世界治疗反应
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-02-16 DOI: 10.1007/s12553-023-00739-1
Kenji Araki, Nobuhiro Matsumoto, K. Togo, N. Yonemoto, Emiko Ohki, Lin Xu, Yoshiyuki Hasegawa, Hirofumi Inoue, Sakiko Yamashita, T. Miyazaki
{"title":"Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records","authors":"Kenji Araki, Nobuhiro Matsumoto, K. Togo, N. Yonemoto, Emiko Ohki, Lin Xu, Yoshiyuki Hasegawa, Hirofumi Inoue, Sakiko Yamashita, T. Miyazaki","doi":"10.1007/s12553-023-00739-1","DOIUrl":"https://doi.org/10.1007/s12553-023-00739-1","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"66 1","pages":"253-262"},"PeriodicalIF":2.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81546165","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: 0
Factors contributing to poor healthcare data quality: qualitative study from Southern Ethiopia 导致医疗保健数据质量差的因素:来自埃塞俄比亚南部的定性研究
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-02-16 DOI: 10.1007/s12553-023-00741-7
Misganu Endriyas, Abraham Alano Ali, Emebet Mekonnen, S. Hailu, Tesfahun Hailemariam, S. Ayele, M. Shiferaw, Temesgen Kelaye, Tebeje Misganaw, Teka Samuel
{"title":"Factors contributing to poor healthcare data quality: qualitative study from Southern Ethiopia","authors":"Misganu Endriyas, Abraham Alano Ali, Emebet Mekonnen, S. Hailu, Tesfahun Hailemariam, S. Ayele, M. Shiferaw, Temesgen Kelaye, Tebeje Misganaw, Teka Samuel","doi":"10.1007/s12553-023-00741-7","DOIUrl":"https://doi.org/10.1007/s12553-023-00741-7","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"808 1","pages":"245-251"},"PeriodicalIF":2.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78895083","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: 0
Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments 借助机器学习算法可以提高临床医生对乳腺癌治疗期间患者生活质量的预测
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-02-10 DOI: 10.1007/s12553-023-00733-7
M. Nuutinen, Anna-Maria Hiltunen, Sonja Korhonen, Ira Haavisto, P. Poikonen-Saksela, J. Mattson, Georgios C. Manikis, H. Kondylakis, P. Simos, K. Mazzocco, R. Pat-Horenczyk, B. Sousa, F. Cardoso, Isabel Manica, I. Kudel, R. Leskelä
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引用次数: 0
The applications and the effectiveness of mHealth interventions to manage lung cancer patients: a systematic review 移动医疗干预管理肺癌患者的应用和有效性:系统综述
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-02-08 DOI: 10.1007/s12553-023-00735-5
P. Amiri, L. Ahmadian, Reza Khajouei
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引用次数: 0
A systematic scoping review of digital health technologies during COVID-19: a new normal in primary health care delivery. 2019冠状病毒病期间数字卫生技术的系统范围审查:初级卫生保健服务的新常态
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-023-00725-7
Costase Ndayishimiye, Henrique Lopes, John Middleton

This scoping review compiled information concerning digital health technologies (DHTs) evolution to support primary health care (PHC) during COVID-19 and lessons for the future of PHC. The identified literature was published during the COVID-19 peak years (2019-2021), retrieved from PubMed, Scopus, and Google Scholar, as well as hand searched on the internet. Predefined inclusion criteria were used, thematic analysis was applied, and reporting followed the PRISMA for Scoping Reviews. A total of 46 studies were included in the final synthesis (40 articles, one book, two book chapters, one working paper, and two technical reports). These studies scrutinized various aspects of DHTs, entailing 19 types of DHTs with 20 areas of use that can be compressed into five bigger PHC functions: general PHC service delivery (teleconsultations, e-diagnosis, e-prescription, etc.); behavior promotion and digital health literacy (e.g., combating vaccine hesitancy); surveillance functions; vaccination and drugs; and enhancing system decision-making for proper follow-up of ongoing PHC interventions during COVID-19. DHTs have the potential to solve some of the problems that have plagued us even prior to COVID-19. Therefore, this study uses a forward-looking viewpoint to further stimulate the use of evidence-based DHT, making it more inclusive, educative, and satisfying to people's needs, both under normal conditions and during outbreaks. More research with narrowed research questions is needed, with a particular emphasis on quality assurance in the use of DHTs, technical aspects (standards for digital health tools, infrastructure, and platforms), and financial perspectives (payment for digital health services and adoption incentives).

Supplementary information: The online version contains supplementary material available at 10.1007/s12553-023-00725-7.

该范围审查汇编了有关数字卫生技术(dht)发展的信息,以支持2019冠状病毒病期间的初级卫生保健(PHC),并为初级卫生保健的未来提供了经验教训。所确定的文献发表于COVID-19高峰年份(2019-2021),检索自PubMed、Scopus和Google Scholar,并在互联网上手工检索。使用预定义的纳入标准,应用专题分析,并按照PRISMA进行范围审查报告。最终的综合报告共纳入46项研究(40篇文章、1本书、2本书章节、1份工作论文和2份技术报告)。这些研究详细审查了dht的各个方面,涉及19种dht的20个使用领域,可压缩为五个更大的初级保健功能:一般初级保健服务提供(远程会诊、电子诊断、电子处方等);促进行为和数字卫生素养(例如,消除疫苗犹豫);监测功能;疫苗接种和药物;加强系统决策,以便在COVID-19期间对正在进行的初级保健干预措施进行适当随访。dht有可能解决甚至在COVID-19之前就困扰我们的一些问题。因此,本研究采用前瞻性的观点,进一步促进以证据为基础的DHT的使用,使其在正常情况下和疫情期间都更具包容性、教育性和满足人们的需求。需要进行更多的研究,缩小研究问题,特别强调dht使用的质量保证、技术方面(数字卫生工具、基础设施和平台的标准)和财务方面(数字卫生服务的支付和采用激励措施)。补充信息:在线版本包含补充资料,下载地址为10.1007/s12553-023-00725-7。
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引用次数: 10
A robotic arm for safe and accurate control of biomedical equipment during COVID-19. 一种机器人手臂,用于在COVID-19期间安全准确地控制生物医学设备。
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-022-00715-1
Ernesto Iadanza, Giammarco Pasqua, Davide Piaggio, Corrado Caputo, Monica Gherardelli, Leandro Pecchia

Purpose: Hospital facilities and social life, along with the global economy, have been severely challenged by COVID-19 since the World Health Organization (WHO) declared it a pandemic in March 2020. Since then, countless ordinary citizens, as well as healthcare workers, have contracted the virus by just coming into contact with infected surfaces. In order to minimise the risk of getting infected by contact with such surfaces, our study aims to design, prototype, and test a new device able to connect users, such as common citizens, doctors or paramedics, with either common-use interfaces (e.g., lift and snack machine keyboards, traffic light push-buttons) or medical-use interfaces (e.g., any medical equipment keypad).

Method: To this purpose, the device was designed with the help of Unified Modelling Language (UML) schemes, and was informed by a risk analysis, that highlighted some of its essential requirements and specifications. Consequently, the chosen constructive solution of the robotic system, i.e., a robotic-arm structure, was designed and manufactured using computer-aided design and 3D printing.

Result: The final prototype included a properly programmed micro-controller, linked via Bluetooth to a multi-platform mobile phone app, which represents the user interface. The system was then successfully tested on different physical keypads and touch screens. Better performance of the system can be foreseen by introducing improvements in the industrial production phase.

Conclusion: This first prototype paves the way for further research in this area, allowing for better management and preparedness of next pandemic emergencies.

目的:自2020年3月世界卫生组织(世卫组织)宣布COVID-19大流行以来,医院设施和社会生活以及全球经济都受到了严重挑战。从那时起,无数普通市民和医护人员仅仅通过接触受感染的表面就感染了病毒。为了最大限度地减少因接触此类表面而感染的风险,我们的研究旨在设计、制作原型并测试一种新设备,该设备能够将普通市民、医生或护理人员等用户与常用接口(例如电梯和小吃机键盘、交通灯按钮)或医疗使用接口(例如任何医疗设备键盘)连接起来。方法:为此目的,该设备是在统一建模语言(UML)方案的帮助下设计的,并通过风险分析获得信息,该分析突出了一些基本需求和规范。因此,选择了机器人系统的构造解,即机械臂结构,并利用计算机辅助设计和3D打印技术进行了设计和制造。结果:最终的原型包括一个经过适当编程的微控制器,通过蓝牙连接到一个多平台的手机应用程序,它代表用户界面。该系统随后在不同的物理键盘和触摸屏上成功地进行了测试。通过在工业生产阶段引入改进,可以预见系统的更好性能。结论:第一个原型为这一领域的进一步研究铺平了道路,使我们能够更好地管理和准备下一次大流行紧急情况。
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引用次数: 1
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