Health and Technology最新文献

{"title":"Electronic self-assessment of COVID-19 symptoms among healthcare workers.","authors":"Rana Al-Ghatam,&nbsp;Aaruni Suresh,&nbsp;Asma Alkhan","doi":"10.1007/s12553-023-00744-4","DOIUrl":"https://doi.org/10.1007/s12553-023-00744-4","url":null,"abstract":"<p><strong>Purpose: </strong>Daily monitoring of COVID-19 symptoms/history of contact in hospital staff is useful for ensuring safety in the hospital. An electronic self- assessment tool could be used to monitor staff without using excessive resources and resulting in unnecessary contact. The objective of our study was to describe the results of a self-assessment COVID-19 daily monitor log in hospital employees.</p><p><strong>Methods: </strong>A description of characteristics of staff who filled the log and follow-up of those who reported symptoms/history of contact was collected. An online self-assessment of COVID-19 symptoms/contact history was developed and used at a hospital in Bahrain. All staff completed the daily COVID-19 log. Data were collected during the month of June 2020.</p><p><strong>Results: </strong>Out of 47,388 responses, 853 (2%) of staff reported either COVID-19 symptoms/history of contact with diagnosed COVID-19 case. The most frequently reported symptom was sore throat (23%), followed by muscle pain (12.6%). The highest frequency of staff who reported symptoms and/or contact was in nurses. Of those who reported symptoms/contact, 18 were diagnosed with COVID-19. The majority (83.3%) of the infected staff obtained the virus through community transmission, and only 16.7% obtained the virus through hospital transmission.</p><p><strong>Conclusion: </strong>The electronic self-assessment log for staff during COVID-19 could be used as a safety measure in hospitals. Moreover, the study highlights the importance of targeting community transmission in an effort to increase hospital safety.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 3","pages":"505-513"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010951/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9623226","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":"Patient experiences of virtual care across specialist neuroscience and psychiatry clinics related to the second wave of the COVID-19 pandemic in Calgary, Alberta.","authors":"Michelle Lu,&nbsp;Rachel E Crooks,&nbsp;Diana F Pricop,&nbsp;Emily Cox,&nbsp;Beatrice Anghelescu,&nbsp;Mark Hamilton,&nbsp;Davide Martino,&nbsp;Veronica Bruno,&nbsp;Colin B Josephson,&nbsp;Scott Patten,&nbsp;Eric E Smith,&nbsp;Pamela Roach","doi":"10.1007/s12553-023-00754-2","DOIUrl":"10.1007/s12553-023-00754-2","url":null,"abstract":"<p><strong>Purpose: </strong>The emergence of the COVID-19 (SARS-CoV-2) pandemic has led to public health restrictions and a shift towards virtual care and telehealth. The aim of this study was to explore barriers and facilitators of virtual care from the perspective of neurological and psychiatric patients.</p><p><strong>Methods: </strong>One-on-one interviews were conducted remotely using telephone and online video teleconferencing. There was a total of 57 participants, and a thematic content analysis was conducted using NVivo software.</p><p><strong>Results: </strong>The two main themes were (1) virtual health service delivery and (2) virtual physician/patient interaction, with subthemes around how virtual care improved accessibility of care for patients and improved patient-centered care; how privacy and technical issues impact patients using virtual care; and the need for relationality and connection between health care providers and patients while using virtual care.</p><p><strong>Conclusions: </strong>This study showed that virtual care can increase accessibility and efficiency for patients and providers, indicating its potential for ongoing use in the delivery of clinical care. Virtual care was found to be an acceptable mode of healthcare delivery from the perspective of patients; however, there is a continued need for relationship-building between care providers and patients.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 3","pages":"523-533"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9623229","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":"The use and role of telemedicine in maternal fetal medicine around the world: an up-to-date.","authors":"Bruna Achtschin Fernandes,&nbsp;Bernardo Alves,&nbsp;Ana Carolina Matosinhos,&nbsp;Bárbara Linhares Calácio E Silva,&nbsp;Raphael Dias,&nbsp;Ursula Gramiscelli Hasparyk,&nbsp;Júlia Damásio,&nbsp;Fernando Macedo Bastos,&nbsp;Ana Cristina Simões E Silva","doi":"10.1007/s12553-023-00742-6","DOIUrl":"10.1007/s12553-023-00742-6","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this narrative review is to sumarize data about the use and role of telemedicine in maternal fetal medicine (MFM).</p><p><strong>Methods: </strong>We searched pubmed and scopus to find articles about telemedicine in MFM by using the terms telmedicine or telehealth and maternal fetal medicine.</p><p><strong>Results: </strong>Telehealth has been widely used for several medical specialties. During the coronavirus disease 2019 (COVID-19) pandemic, telehealth has gained investment and further research. Even though telemedicine in MFM has not been frequently applied, from 2020 onwards it has increased in both implementation and acceptance worldwide. The need to screen the patients in overloaded centers in a pandemic scenario required telemedicine in MFM, which has exhibited consistently good results concerning health and budget. The aim of this study was to review the telehealth programs and research focused on MFM around the world. Few studies have been applied to MFM and even fewer in developing and undeveloped countries. The majority of studies were concentrated in the USA and in Europe.</p><p><strong>Conclusion: </strong>Further research is needed, especially in non-developed countries, to comprehend the potential role of telemedicine in MFM for improving the life quality of the patients, health professionals, and to be cost-efficient.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 3","pages":"365-372"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9670036","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":"Artificial Intelligence Applied to clinical trials: opportunities and challenges.","authors":"Scott Askin,&nbsp;Denis Burkhalter,&nbsp;Gilda Calado,&nbsp;Samar El Dakrouni","doi":"10.1007/s12553-023-00738-2","DOIUrl":"https://doi.org/10.1007/s12553-023-00738-2","url":null,"abstract":"<p><strong>Background: </strong>Clinical Trials (CTs) remain the foundation of safe and effective drug development. Given the evolving data-driven and personalized medicine approach in healthcare, it is imperative for companies and regulators to utilize tailored Artificial Intelligence (AI) solutions that enable expeditious and streamlined clinical research. In this paper, we identified opportunities, challenges, and potential implications of AI in CTs.</p><p><strong>Methods: </strong>Following an extensive search in relevant databases and websites, we gathered publications tackling the use of AI and Machine Learning (ML) in CTs from the past 5 years in the US and Europe, including Regulatory Authorities' documents.</p><p><strong>Results: </strong>Documented applications of AI commonly concern the oncology field and are mostly being applied in the area of recruitment. Main opportunities discussed aim to create efficiencies across CT activities, including the ability to reduce sample sizes, improve enrollment and conduct faster, more optimized adaptive CTs. While AI is an area of enthusiastic development, the identified challenges are ethical in nature and relate to data availability, standards, and most importantly, lack of regulatory guidance hindering the acceptance of AI tools in drug development. However, future implications are significant and are anticipated to improve the probability of success, reduce trial burden and overall, speed up research and regulatory approval.</p><p><strong>Conclusion: </strong>The use of AI in CTs is in its relative infancy; however, it is a fast-evolving field. As regulators provide more guidance on the acceptability of AI in specific areas, we anticipate the scope of use to broaden and the volume of implementation to increase rapidly.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 2","pages":"203-213"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9120346","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":"Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol.","authors":"Martina Andellini, Salman Haleem, Massimiliano Angelini, Matteo Ritrovato, Riccardo Schiaffini, Ernesto Iadanza, Leandro Pecchia","doi":"10.1007/s12553-022-00719-x","DOIUrl":"10.1007/s12553-022-00719-x","url":null,"abstract":"<p><strong>Purpose: </strong>Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic management through frequent blood glucose monitoring with finger prick or Continuous Glucose Monitoring (CGM) systems. However, several non-invasive techniques have been proposed aiming at exploiting changes in physiological parameters based on glucose levels. The overall objective of this study is to validate an artificial intelligence (AI) based algorithm to detect glycaemic events using ECG signals collected through non-invasive device.</p><p><strong>Methods: </strong>This study will enrol T1D paediatric participants who already use CGM. Participants will wear an additional non-invasive wearable device for recording physiological data and respiratory rate. Glycaemic measurements driven through ECG variables are the main outcomes. Data collected will be used to design, develop and validate the personalised and generalized classifiers based on a deep learning (DL) AI algorithm, able to automatically detect hypoglycaemic events by using few ECG heartbeats recorded with wearable devices.</p><p><strong>Results: </strong>Data collection is expected to be completed approximately by June 2023. It is expected that sufficient data will be collected to develop and validate the AI algorithm.</p><p><strong>Conclusion: </strong>This is a validation study that will perform additional tests on a larger diabetes sample population to validate the previous pilot results that were based on four healthy adults, providing evidence on the reliability of the AI algorithm in detecting glycaemic events in paediatric diabetic patients in free-living conditions.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov identifier: NCT03936634. Registered on 11 March 2022, retrospectively registered, https://www.clinicaltrials.gov/ct2/show/NCT05278143?titles=AI+for+Glycemic+Events+Detection+Via+ECG+in+a+Pediatric+Population&draw=2&rank=1.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12553-022-00719-x.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 1","pages":"145-154"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899724/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10689425","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":"Long-term stability of over-the-counter cuffless blood pressure monitors: a proposal.","authors":"Toshiyo Tamura,&nbsp;Shigeru Shimizu,&nbsp;Nobuhiro Nishimura,&nbsp;Masachika Takeuchi","doi":"10.1007/s12553-023-00726-6","DOIUrl":"https://doi.org/10.1007/s12553-023-00726-6","url":null,"abstract":"<p><p>Blood pressure is an important cardiovascular parameter. Currently, the cuff-based sphygmomanometer is a popular, reliable, measurement method, but blood pressure monitors without cuffs have become popular and are now available without a prescription. Blood pressure monitors must be approved by regulatory authorities. Current cuffless blood pressure (CL-BP) monitors are not suitable for at-home management and prevention of hypertension. This paper proposes simple criteria for over-the-counter CL-BP monitoring. First, the history of the sphygmomanometer and current standard blood pressure protocol are reviewed. The main components of CL-BP monitoring are accuracy during the resting condition, accuracy during dynamic blood pressure changes, and long-term stability. In this proposal we recommend intermittent measurement to ensure that active measurement accuracy mirrors resting condition accuracy. A new experimental protocol is proposed to maintain long-term stability. A medically approved automated sphygmomanometer was used as the standard device in this study. The long-term accuracy of the test device is based on the definition of propagation error, i.e., for an oscillometric automated sphygmomanometer (5 ± 8 mmHg) ± the error for the test device static accuracy (-0.12 ± 5.49 mmHg for systolic blood pressure and - 1.17 ± 5.06 mmHg for diastolic blood pressure). Thus, the long-term stabilities were - 3.38 ± 7.1 mmHg and - 1.38 ± 5.4 mmHg, which satisfied propagation error. Further research and discussion are necessary to create standards for use by manufacturers; such standards should be readily evaluated and ensure high-quality evidence.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12553-023-00726-6.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 1","pages":"53-63"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870659/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9236877","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":"Correction to: 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/s12553-023-00729-3","DOIUrl":"https://doi.org/10.1007/s12553-023-00729-3","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"5 1","pages":"99"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85197315","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":"Science diplomacy in medical physics - an international perspective.","authors":"Eva Bezak,&nbsp;Cari Borrás,&nbsp;Francis Hasford,&nbsp;Nupur Karmaker,&nbsp;Angela Keyser,&nbsp;Magdalena Stoeva,&nbsp;Christoph Trauernicht,&nbsp;Hong Chai Yeong,&nbsp;Loredana G Marcu","doi":"10.1007/s12553-023-00756-0","DOIUrl":"10.1007/s12553-023-00756-0","url":null,"abstract":"<p><strong>Purpose: </strong>Science diplomacy in medical physics is a relatively young research field and translational practice that focuses on establishing international collaborations to address some of the questions biomedical professionals face globally. This paper aims to present an overview of science diplomacy in medical physics, from an international perspective, illustrating the ways collaborations within and across continents can lead to scientific and professional achievements that advance scientific growth and improve patients care.</p><p><strong>Methods: </strong>Science diplomacy actions were sought that promote collaborations in medical physics across the continents, related to professional and scientific aspects alike.</p><p><strong>Results: </strong>Several science diplomacy actions have been identified to promote education and training, to facilitate research and development, to effectively communicate science to the public, to enable equitable access of patients to healthcare and to focus on gender equity within the profession as well as healthcare provision. Scientific and professional organizations in the field of medical physics across all continents have adopted a number of efforts in their aims, many of them with great success, to promote science diplomacy and to foster international collaborations.</p><p><strong>Conclusions: </strong>Professionals in medical physics can advance through international cooperation, by building strong communication across scientific communities, addressing rising demands, exchange scientific information and knowledge.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 3","pages":"495-503"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162897/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9620293","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":"Interpretable machine learning analysis to identify risk factors for diabetes using the anonymous living census data of Japan.","authors":"Pei Jiang, Hiroyuki Suzuki, Takashi Obi","doi":"10.1007/s12553-023-00730-w","DOIUrl":"10.1007/s12553-023-00730-w","url":null,"abstract":"<p><strong>Purpose: </strong>Diabetes mellitus causes various problems in our life. With the big data boom in our society, some risk factors for Diabetes must still exist. To identify new risk factors for diabetes in the big data society and explore further efficient use of big data, the non-objective-oriented census data about the Japanese Citizen's Survey of Living Conditions were analyzed using interpretable machine learning methods.</p><p><strong>Methods: </strong>Seven interpretable machine learning methods were used to analysis Japan citizens' census data. Firstly, logistic analysis was used to analyze the risk factors of diabetes from 19 selected initial elements. Then, the linear analysis, linear discriminate analysis, Hayashi's quantification analysis method 2, random forest, XGBoost, and SHAP methods were used to re-check and find the different factor contributions. Finally, the relationship among the factors was analyzed to understand the relationship among factors.</p><p><strong>Results: </strong>Four new risk factors: the number of family members, insurance type, public pension type, and health awareness level, were found as risk factors for diabetes mellitus for the first time, while another 11 risk factors were reconfirmed in this analysis. Especially the insurance type factor and health awareness level factor make more contributions to diabetes than factors: hypertension, hyperlipidemia, and stress in some interpretable models. We also found that work years were identified as a risk factor for diabetes because it has a high coefficient with the risk factor of age.</p><p><strong>Conclusions: </strong>New risk factors for diabetes mellitus were identified based on Japan's non-objective-oriented anonymous census data using interpretable machine learning models. The newly identified risk factors inspire new possible policies for preventing diabetes. Moreover, our analysis certifies that big data can help us find helpful knowledge in today's prosperous society. Our study also paves the way for identifying more risk factors and promoting the efficiency of using big data.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 1","pages":"119-131"},"PeriodicalIF":3.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10667352","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":"ML technologies for diagnosing and treatment of tuberculosis: a survey","authors":"Joane Jonathan, A. Barakabitze","doi":"10.1007/s12553-023-00727-5","DOIUrl":"https://doi.org/10.1007/s12553-023-00727-5","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"85 1","pages":"1-17"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83921721","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}