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Internet of Things (IoT) based automated sanitizer dispenser and COVID-19 statistics reporter in a post-pandemic world. 在大流行后的世界中,基于物联网(IoT)的自动消毒剂分发器和COVID-19统计报告。
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-023-00728-4
Ashok G, John Paul J, Thusnavis Mary Bella I, Sybiya Vasantha Packiavathy, Sneha Gautam

Purpose: Coronavirus is among the deadliest viruses of the 21st century. There is still a Coronavirus epidemic that affects most countries worldwide today. To prevent future outbreaks and protect public health, it is essential to invest in research and innovation on vaccines, treatments, diagnostic tests, public health infrastructure, and emergency response planning. Additionally, we need to work on mitigation strategies and take a comprehensive and multidisciplinary approach to prevent and fight against the virus.

Methods: For the purpose of preventing the spread of microbial organisms, it is essential to take advantage of automatic sanitizer dispensers by deploying them in public places. This is one of the most feasible and effective ways to ensure that people have easy access to hand sanitizer and can reduce the spread of germs.

Results: The proposed solution is a contactless sanitizer dispenser with an integrated temperature monitoring system, as well as an alert system for users who exhibit the symptom of infection. Moreover, the proposed solution has added advantage of interfacing with an electronic door so that we can easily implement it at the entrance of a public building/public transportation. This dispenser will also collect data that can be used to identify a symptomatic user and alert the appropriate authorities for safe quarantine. In addition, it is also used to monitor usage metrics, record user entries, and conduct statistical surveys using the ThinkSpeak platform.

Conclusions: The proposed model could be a feasible solution to prevent the entry of infected persons and asymptomatic carriers indoors. This can be achieved by implementing automated temperature screening before allowing entry into the building. This can help identify individuals who are potentially infected with the virus and prevent them from entering the premises and potentially spreading the disease to others. Overall, the proposed model is a comprehensive and practical solution that can help to prevent the entry of infected persons and asymptomatic carriers indoors and help to keep the public safe.

目的:冠状病毒是21世纪最致命的病毒之一。目前,冠状病毒疫情仍在影响全球大多数国家。为了预防未来的疫情并保护公众健康,必须投资于疫苗、治疗、诊断测试、公共卫生基础设施和应急计划方面的研究和创新。此外,我们需要制定缓解战略,采取全面和多学科的方法来预防和抗击病毒。方法:为了防止微生物的传播,必须充分利用公共场所的自动消毒机。这是确保人们容易获得洗手液并减少细菌传播的最可行和最有效的方法之一。结果:提出的解决方案是一种带有集成温度监测系统的非接触式洗手液点液器,并为出现感染症状的用户提供警报系统。此外,拟议的解决方案还具有与电子门接口的优势,因此我们可以轻松地在公共建筑/公共交通工具的入口处实施它。该分配器还将收集可用于识别有症状的用户并提醒有关当局进行安全隔离的数据。此外,它还用于监视使用度量、记录用户条目,并使用ThinkSpeak平台进行统计调查。结论:该模型为预防无症状感染者和无症状感染者进入室内提供了可行的解决方案。这可以通过在允许进入建筑物之前实施自动温度筛选来实现。这可以帮助识别可能感染病毒的个人,防止他们进入房屋并可能将疾病传播给他人。总体而言,该模型是一种全面实用的解决方案,有助于防止感染者和无症状感染者进入室内,有助于维护公共安全。
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引用次数: 8
Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0. 疾病X疫苗生产和供应链:风险评估与人工智能和工业4.0操作的医疗保健系统。
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-022-00722-2
Petar Radanliev, David De Roure

Objective: The objective of this theoretical paper is to identify conceptual solutions for securing, predicting, and improving vaccine production and supply chains.

Method: The case study, action research, and review method is used with secondary data - publicly available open access data.

Results: A set of six algorithmic solutions is presented for resolving vaccine production and supply chain bottlenecks. A different set of algorithmic solutions is presented for forecasting risks during a Disease X event. A new conceptual framework is designed to integrate the emerging solutions in vaccine production and supply chains. The framework is constructed to improve the state-of-the-art by intersecting the previously isolated disciplines of edge computing; cyber-risk analytics; healthcare systems, and AI algorithms.

Conclusion: For healthcare systems to cope better during a disease X event than during Covid-19, we need multiple highly specific AI algorithms, targeted for solving specific problems. The proposed framework would reduce production and supply chain risk and complexity in a Disease X event.

目的:这篇理论论文的目的是确定概念性解决方案,以确保、预测和改善疫苗生产和供应链。方法:案例研究,行动研究和回顾方法与辅助数据-公开可用的开放获取数据一起使用。结果:提出了一套解决疫苗生产和供应链瓶颈的六种算法解决方案。提出了一套不同的算法解决方案,用于预测X疾病事件期间的风险。设计了一个新的概念框架,以整合疫苗生产和供应链中出现的解决方案。该框架的构建是为了通过交叉以前孤立的边缘计算学科来提高最先进的水平;cyber-risk分析;医疗系统和人工智能算法。结论:为了使医疗系统在X疾病事件期间比在Covid-19期间更好地应对,我们需要多种高度特定的人工智能算法,针对解决特定问题。拟议的框架将减少X疾病事件中生产和供应链的风险和复杂性。
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引用次数: 8
Impact of industry 4.0 on healthcare systems of low- and middle- income countries: a systematic review. 工业4.0对低收入和中等收入国家医疗保健系统的影响:系统回顾。
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-022-00714-2
Joseph Mwanza, Arnesh Telukdarie, Tak Igusa

Purpose: A growing body of empirical research has emerged, focused on leveraging Industry 4.0 technologies to develop and optimise systems within various operational contexts, including healthcare delivery. However, even though a significant number of studies have been published on application of digital technologies in enhancing delivery and health outcomes of health systems, systematic studies that review how extensively these technologies have been applied within a low- and middle-income economies' context remain scarce in the literature. This work attempts to close that gap by investigating the impact of industry 4.0 on healthcare systems in emerging economies.

Methods: The study follows a systematic review approach and uses PRISMA guidelines to conduct the research and synthesise its findings. A final sample of 72 articles is selected for in-depth review following a systematic screening from an initial list of 597 results.

Results: The study successfully synthesises the latest research in the subject area and reveals that, hitherto, approaches to use of digital tools have been fragmented and thus unable to provide holistic optimisation solutions for healthcare systems in low-resource settings. The analysis exposes a heavy skew towards adoption of mobile health and telemedicine technologies, with conspicuous research gaps in the use of augmented reality, additive manufacturing as well as simulation and digital twin technologies.

Conclusions: The study provides researchers, health-care practitioners and systems engineers with knowledge on the state-of-the-art in healthcare systems optimisation and points out research gaps that may be addressed through future empirical studies.

目的:越来越多的实证研究已经出现,重点是利用工业4.0技术来开发和优化各种运营环境中的系统,包括医疗保健服务。然而,尽管已经发表了大量关于数字技术在加强卫生系统的提供和健康结果方面的应用的研究,但文献中仍然很少有系统的研究审查这些技术在低收入和中等收入经济体背景下的广泛应用。这项工作试图通过调查工业4.0对新兴经济体医疗保健系统的影响来缩小这一差距。方法:本研究采用系统综述方法,采用PRISMA指南进行研究并综合研究结果。从最初的597个结果列表中进行系统筛选后,选择了72篇文章的最终样本进行深入审查。结果:该研究成功地综合了该学科领域的最新研究,并揭示了迄今为止,使用数字工具的方法是分散的,因此无法为低资源环境下的医疗保健系统提供整体优化解决方案。分析显示,在采用移动医疗和远程医疗技术方面存在严重倾斜,在使用增强现实、增材制造以及模拟和数字孪生技术方面存在明显的研究差距。结论:该研究为研究人员、卫生保健从业人员和系统工程师提供了关于卫生保健系统优化的最新知识,并指出了可能通过未来的实证研究来解决的研究差距。
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引用次数: 1
Management of medical equipment in the Brazilian public health system (SUS), historical situation and the context of the pandemic COVID-19: a cut for lung ventilators. 巴西公共卫生系统(SUS)医疗设备的管理、历史情况和新冠肺炎大流行的背景:肺呼吸机的削减。
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 Epub Date: 2023-05-25 DOI: 10.1007/s12553-023-00752-4
Fotini Santos Toscas, Eduardo Mario Dias, Maria Lídia Dias, Thiago Rodrigues Santos, Eduardo Jorge Valadares Oliveira

Purpose: The main objective of this paper is to analyze the Brazilian Ministry of Health (MoH) efforts in the management of medical equipment, with a specific approach for lung ventilators in the pandemic scenario of COVID-19.

Methods: The methodology included a review of the normative framework and literature on technological management and research on the database of the Ministry of Health.

Results: As a promoter for acquiring medical equipment, the MoH role is highlighted and added to this competence; its function as the coordinator of the National Policy on Health Technology Management (PNGTS). According to the PNGTS the MoH has to support health managers in the implementing, monitoring, and maintaining health technologies. The scenario of lung ventilators in the pandemic was discussed, with research to verify demands, offers, installed capacity, and investments. In less than one year, the Ministry of Health acquired several pulmonary ventilators, 8.55 times greater than the annual averages of equipment acquired from 2016 to 2019. So far, there is still no maintenance plans or strategy of management for that equipment, especially in a post-pandemic scenario. Conclusion: It is possible to conclude that the Ministry of Health needs to improve health technology management systems. On the scale of the Policy, it is necessary to commit to permanent and long-term actions to ensure sustainability and reduce the technological vulnerabilities of the SUS.

目的:本文的主要目的是分析巴西卫生部(MoH)在医疗设备管理方面的努力,以及在COVID-19大流行情况下使用呼吸机的具体方法。结果:作为采购医疗设备的推动者,卫生部的作用得到了强调,并增加了这一能力;其作为国家卫生技术管理政策协调员的职能。根据PNGTS,卫生部必须支持卫生管理人员实施、监测和维护卫生技术。讨论了呼吸机在疫情中的情景,并进行了研究以验证需求、报价、装机容量和投资。在不到一年的时间里,卫生部购买了几台肺通气机,是2016年至2019年购买设备年平均数的8.55倍。到目前为止,该设备仍然没有维护计划或管理策略,尤其是在疫情后的情况下。结论:卫生部需要完善卫生技术管理体系。就政策的规模而言,有必要承诺采取永久和长期行动,以确保可持续性并减少SUS的技术脆弱性。
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引用次数: 0
A novel pump-free ultrafiltration rate modulation system for continuous renal replacement therapy applications 一种用于连续肾替代治疗的新型无泵超滤速率调节系统
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-022-00717-z
Alessandra Ventresca, Guido Comai, S. Severi
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引用次数: 0
Machine learning classification approach for asthma prediction models in children 儿童哮喘预测模型的机器学习分类方法
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-023-00732-8
Raphael Henshaw Ekpo, V. Osamor, A. Azeta, Excellent Ikeakanam, Beatrice Opeyemi Amos
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引用次数: 3
Evolution - removing paper and digitising the hospital. 进化——去除纸张,数字化医院。
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-023-00740-8
G Baniulyte, N Rogerson, J Bowden

Purpose: A transition from paper to Electronic Health Records has numerous benefits, including better communication and information exchange and decreased errors by medical staff. However, if managed poorly, it can result in frustration, causing errors in patient care and reduced patient-clinician interaction. Furthermore, a drop in staff morale and clinician burnout due to familiarising themselves with the technology has been mentioned in previous studies. Therefore, the aim of this project is to monitor the change in morale of staff of the Oral and Maxillofacial Department in a hospital which underwent the change in October 2020. Objectives: To observe staff morale during transition from paper to Electronic Health Records; to encourage feedback.

Methods: After carrying out a Patient & Public Involvement consultation and receiving local research and development approval, a questionnaire was distributed to all members of the maxillofacial outpatients department on a regular basis.

Results: On average, around 25 members responded to the questionnaire during each collection. There was a noticeable divergence in responses week on week according to job role and age, but minimal difference is noted from gender point of view after the first week. The study emphasised the position that not all members were happy with the new system but only a small minority would want to return to paper notes.

Conclusion: Staff members adapt to change at different rates, which are multifactorial in nature. A change of this scale should be monitored closely to allow for a smoother transition and ensure staff burnout is minimised.

目的:从纸质健康记录过渡到电子健康记录有许多好处,包括更好的沟通和信息交换以及减少医务人员的错误。然而,如果管理不善,它可以导致挫折,导致错误的病人护理和减少医患互动。此外,在之前的研究中已经提到,由于熟悉技术,员工士气下降和临床医生倦怠。因此,本项目的目的是监测一家医院口腔颌面科员工士气的变化,该医院于2020年10月进行了变革。目的:观察纸质健康档案向电子健康档案过渡过程中的员工士气;鼓励反馈。方法:在开展患者与公众参与咨询并获得当地研发批准后,定期向颌面门诊全体人员发放调查问卷。结果:在每次收集中,平均约有25名成员回复了问卷。从工作角色和年龄的角度来看,每周的回答有明显的差异,但从性别的角度来看,第一周之后的差异很小。该研究强调,并非所有成员国都对新系统感到满意,但只有一小部分人希望回归纸质钞票。结论:工作人员对变化的适应程度不同,具有多因素的特点。应密切监测这一比例的变化,以实现更平稳的过渡,并确保尽量减少员工的倦怠。
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引用次数: 1
Patients undergoing multiple 18F-FDG PET/CT scans: frequency, clinical indications, and cumulative dose 接受多次18F-FDG PET/CT扫描的患者:频率、临床适应症和累积剂量
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-022-00716-0
Mohammad Abuqbeitah, M. Demir, K. Sönmezoğlu, H. Sayman, L. Kabasakal, Sağit Sağer, S. Asa, L. Uslu-Beşli, M. Rehani
{"title":"Patients undergoing multiple 18F-FDG PET/CT scans: frequency, clinical indications, and cumulative dose","authors":"Mohammad Abuqbeitah, M. Demir, K. Sönmezoğlu, H. Sayman, L. Kabasakal, Sağit Sağer, S. Asa, L. Uslu-Beşli, M. Rehani","doi":"10.1007/s12553-022-00716-0","DOIUrl":"https://doi.org/10.1007/s12553-022-00716-0","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"29 1","pages":"89-97"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74891402","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: 1
Identification of problems in picture archiving and communication systems management using text mining 利用文本挖掘识别图像存档和通信系统管理中的问题
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-022-00721-3
Ayako Yagahara, Takumi Tanikawa, Akihisa Fukuda, D. Ando, Tatsuya Suzuki, Shuichi Karata, M. Uesugi
{"title":"Identification of problems in picture archiving and communication systems management using text mining","authors":"Ayako Yagahara, Takumi Tanikawa, Akihisa Fukuda, D. Ando, Tatsuya Suzuki, Shuichi Karata, M. Uesugi","doi":"10.1007/s12553-022-00721-3","DOIUrl":"https://doi.org/10.1007/s12553-022-00721-3","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"135 1","pages":"133-144"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85523334","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
Using machine learning to predict nosocomial infections and medical accidents in a NICU 使用机器学习来预测新生儿重症监护室的医院感染和医疗事故
IF 2.5 Q2 MEDICAL INFORMATICS Pub Date : 2023-01-01 DOI: 10.1007/s12553-022-00723-1
M. Beltempo, G. Bresson, G. Lacroix
{"title":"Using machine learning to predict nosocomial infections and medical accidents in a NICU","authors":"M. Beltempo, G. Bresson, G. Lacroix","doi":"10.1007/s12553-022-00723-1","DOIUrl":"https://doi.org/10.1007/s12553-022-00723-1","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"26 1","pages":"75-87"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82865703","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
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Health and Technology
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