Health and Technology最新文献

{"title":"Internet of Things (IoT) based automated sanitizer dispenser and COVID-19 statistics reporter in a post-pandemic world.","authors":"Ashok G,&nbsp;John Paul J,&nbsp;Thusnavis Mary Bella I,&nbsp;Sybiya Vasantha Packiavathy,&nbsp;Sneha Gautam","doi":"10.1007/s12553-023-00728-4","DOIUrl":"https://doi.org/10.1007/s12553-023-00728-4","url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 2","pages":"327-341"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9125895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0.","authors":"Petar Radanliev,&nbsp;David De Roure","doi":"10.1007/s12553-022-00722-2","DOIUrl":"https://doi.org/10.1007/s12553-022-00722-2","url":null,"abstract":"<p><strong>Objective: </strong>The objective of this theoretical paper is to identify conceptual solutions for securing, predicting, and improving vaccine production and supply chains.</p><p><strong>Method: </strong>The case study, action research, and review method is used with secondary data - publicly available open access data.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 1","pages":"11-15"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811889/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10666941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of industry 4.0 on healthcare systems of low- and middle- income countries: a systematic review.","authors":"Joseph Mwanza,&nbsp;Arnesh Telukdarie,&nbsp;Tak Igusa","doi":"10.1007/s12553-022-00714-2","DOIUrl":"https://doi.org/10.1007/s12553-022-00714-2","url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 1","pages":"35-52"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10667332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"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.","authors":"Fotini Santos Toscas,&nbsp;Eduardo Mario Dias,&nbsp;Maria Lídia Dias,&nbsp;Thiago Rodrigues Santos,&nbsp;Eduardo Jorge Valadares Oliveira","doi":"10.1007/s12553-023-00752-4","DOIUrl":"10.1007/s12553-023-00752-4","url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>The methodology included a review of the normative framework and literature on technological management and research on the database of the Ministry of Health.</p><p><strong>Results: </strong>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.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 3","pages":"515-521"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208686/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9620292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel pump-free ultrafiltration rate modulation system for continuous renal replacement therapy applications","authors":"Alessandra Ventresca, Guido Comai, S. Severi","doi":"10.1007/s12553-022-00717-z","DOIUrl":"https://doi.org/10.1007/s12553-022-00717-z","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"59 1","pages":"155-170"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88667503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning classification approach for asthma prediction models in children","authors":"Raphael Henshaw Ekpo, V. Osamor, A. Azeta, Excellent Ikeakanam, Beatrice Opeyemi Amos","doi":"10.1007/s12553-023-00732-8","DOIUrl":"https://doi.org/10.1007/s12553-023-00732-8","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"33 1","pages":"1 - 10"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77759753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolution - removing paper and digitising the hospital.","authors":"G Baniulyte,&nbsp;N Rogerson,&nbsp;J Bowden","doi":"10.1007/s12553-023-00740-8","DOIUrl":"https://doi.org/10.1007/s12553-023-00740-8","url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 2","pages":"263-271"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9127479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"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}

{"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}

{"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}