{"title":"Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0.","authors":"Petar Radanliev, 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, Arnesh Telukdarie, 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}
Health and TechnologyPub Date : 2023-01-01Epub Date: 2023-01-06DOI: 10.1007/s12553-023-00725-7
Costase Ndayishimiye, Henrique Lopes, John Middleton
{"title":"A systematic scoping review of digital health technologies during COVID-19: a new normal in primary health care delivery.","authors":"Costase Ndayishimiye, Henrique Lopes, John Middleton","doi":"10.1007/s12553-023-00725-7","DOIUrl":"10.1007/s12553-023-00725-7","url":null,"abstract":"<p><p>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).</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12553-023-00725-7.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 2","pages":"273-284"},"PeriodicalIF":3.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816012/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9116161","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}
Health and TechnologyPub Date : 2023-01-01Epub Date: 2023-05-25DOI: 10.1007/s12553-023-00752-4
Fotini Santos Toscas, Eduardo Mario Dias, Maria Lídia Dias, Thiago Rodrigues Santos, Eduardo Jorge Valadares Oliveira
{"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, Eduardo Mario Dias, Maria Lídia Dias, Thiago Rodrigues Santos, 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":"Evolution - removing paper and digitising the hospital.","authors":"G Baniulyte, N Rogerson, 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}
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}
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}
{"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}