Pub Date : 2023-04-04DOI: 10.1007/s12553-023-00747-1
M. Safa, A. Pandian, H. Gururaj, Vinayakumar Ravi, M. Krichen
{"title":"Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices","authors":"M. Safa, A. Pandian, H. Gururaj, Vinayakumar Ravi, M. Krichen","doi":"10.1007/s12553-023-00747-1","DOIUrl":"https://doi.org/10.1007/s12553-023-00747-1","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"9 1","pages":"473 - 483"},"PeriodicalIF":2.5,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89430109","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}
Pub Date : 2023-03-28DOI: 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
{"title":"Imaging evaluated remotely through telemedicine as a reliable alternative for accurate diagnosis: a systematic review","authors":"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","doi":"10.1007/s12553-023-00745-3","DOIUrl":"https://doi.org/10.1007/s12553-023-00745-3","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"24 1","pages":"347 - 364"},"PeriodicalIF":2.5,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85465557","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}
Pub Date : 2023-03-13DOI: 10.1007/s12553-023-00743-5
Danielle Cohen, Nikolai Visnjic, D. Akaateba, Kelly Hadfield
{"title":"Narrative literature review of facilitators and barriers to implementing computerized maintenance management systems in low-middle-income countries","authors":"Danielle Cohen, Nikolai Visnjic, D. Akaateba, Kelly Hadfield","doi":"10.1007/s12553-023-00743-5","DOIUrl":"https://doi.org/10.1007/s12553-023-00743-5","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"46 1","pages":"373 - 378"},"PeriodicalIF":2.5,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85591914","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}
Pub Date : 2023-02-27DOI: 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}
Pub Date : 2023-02-16DOI: 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}
Pub Date : 2023-02-16DOI: 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}
Pub Date : 2023-02-10DOI: 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
{"title":"Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments","authors":"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","doi":"10.1007/s12553-023-00733-7","DOIUrl":"https://doi.org/10.1007/s12553-023-00733-7","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"43 1","pages":"229-244"},"PeriodicalIF":2.5,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86666333","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}
Pub Date : 2023-02-08DOI: 10.1007/s12553-023-00735-5
P. Amiri, L. Ahmadian, Reza Khajouei
{"title":"The applications and the effectiveness of mHealth interventions to manage lung cancer patients: a systematic review","authors":"P. Amiri, L. Ahmadian, Reza Khajouei","doi":"10.1007/s12553-023-00735-5","DOIUrl":"https://doi.org/10.1007/s12553-023-00735-5","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"8 1","pages":"171 - 180"},"PeriodicalIF":2.5,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88383947","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}
Pub Date : 2023-01-01DOI: 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.
{"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":"https://doi.org/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":2.5,"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}
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.
{"title":"A robotic arm for safe and accurate control of biomedical equipment during COVID-19.","authors":"Ernesto Iadanza, Giammarco Pasqua, Davide Piaggio, Corrado Caputo, Monica Gherardelli, Leandro Pecchia","doi":"10.1007/s12553-022-00715-1","DOIUrl":"https://doi.org/10.1007/s12553-022-00715-1","url":null,"abstract":"<p><strong>Purpose: </strong>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).</p><p><strong>Method: </strong>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.</p><p><strong>Result: </strong>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.</p><p><strong>Conclusion: </strong>This first prototype paves the way for further research in this area, allowing for better management and preparedness of next pandemic emergencies.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 2","pages":"285-300"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813453/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9119086","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}