Aswin Thacharodi, Prabhakar Singh, Ramu Meenatchi, Z. H. Tawfeeq Ahmed, Rejith R. S. Kumar, Neha V, Sanjana Kavish, Mohsin Maqbool, Saqib Hassan
The increasing integration of new technologies is driving a fundamental revolution in the healthcare sector. Developments in artificial intelligence (AI), machine learning, and big data analytics have completely transformed the diagnosis, treatment, and care of patients. AI-powered solutions are enhancing the efficiency and accuracy of healthcare delivery by demonstrating exceptional skills in personalized medicine, early disease detection, and predictive analytics. Furthermore, telemedicine and remote patient monitoring systems have overcome geographical constraints, offering easy and accessible healthcare services, particularly in underserved areas. Wearable technology, the Internet of Medical Things, and sensor technologies have empowered individuals to take an active role in tracking and managing their health. These devices facilitate real-time data collection, enabling preventive and personalized care. Additionally, the development of 3D printing technology has revolutionized the medical field by enabling the production of customized prosthetics, implants, and anatomical models, significantly impacting surgical planning and treatment strategies. Accepting these advancements holds the potential to create a more patient-centered, efficient healthcare system that emphasizes individualized care, preventive care, and better overall health outcomes. This review's novelty lies in exploring how these technologies are radically transforming the healthcare industry, paving the way for a more personalized and effective healthcare for all. It highlights the capacity of modern technology to revolutionize healthcare delivery by addressing long-standing challenges and improving health outcomes. Although the approval and use of digital technology and advanced data analysis face scientific and regulatory obstacles, they have the potential for transforming translational research. as these technologies continue to evolve, they are poised to significantly alter the healthcare environment, offering a more sustainable, efficient, and accessible healthcare ecosystem for future generations. Innovation across multiple fronts will shape the future of advanced healthcare technology, revolutionizing the provision of healthcare, enhancing patient outcomes, and equipping both patients and healthcare professionals with the tools to make better decisions and receive personalized treatment. As these technologies continue to develop and become integrated into standard healthcare practices, the future of healthcare will probably be more accessible, effective, and efficient than ever before.
{"title":"Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review","authors":"Aswin Thacharodi, Prabhakar Singh, Ramu Meenatchi, Z. H. Tawfeeq Ahmed, Rejith R. S. Kumar, Neha V, Sanjana Kavish, Mohsin Maqbool, Saqib Hassan","doi":"10.1002/hcs2.115","DOIUrl":"10.1002/hcs2.115","url":null,"abstract":"<p>The increasing integration of new technologies is driving a fundamental revolution in the healthcare sector. Developments in artificial intelligence (AI), machine learning, and big data analytics have completely transformed the diagnosis, treatment, and care of patients. AI-powered solutions are enhancing the efficiency and accuracy of healthcare delivery by demonstrating exceptional skills in personalized medicine, early disease detection, and predictive analytics. Furthermore, telemedicine and remote patient monitoring systems have overcome geographical constraints, offering easy and accessible healthcare services, particularly in underserved areas. Wearable technology, the Internet of Medical Things, and sensor technologies have empowered individuals to take an active role in tracking and managing their health. These devices facilitate real-time data collection, enabling preventive and personalized care. Additionally, the development of 3D printing technology has revolutionized the medical field by enabling the production of customized prosthetics, implants, and anatomical models, significantly impacting surgical planning and treatment strategies. Accepting these advancements holds the potential to create a more patient-centered, efficient healthcare system that emphasizes individualized care, preventive care, and better overall health outcomes. This review's novelty lies in exploring how these technologies are radically transforming the healthcare industry, paving the way for a more personalized and effective healthcare for all. It highlights the capacity of modern technology to revolutionize healthcare delivery by addressing long-standing challenges and improving health outcomes. Although the approval and use of digital technology and advanced data analysis face scientific and regulatory obstacles, they have the potential for transforming translational research. as these technologies continue to evolve, they are poised to significantly alter the healthcare environment, offering a more sustainable, efficient, and accessible healthcare ecosystem for future generations. Innovation across multiple fronts will shape the future of advanced healthcare technology, revolutionizing the provision of healthcare, enhancing patient outcomes, and equipping both patients and healthcare professionals with the tools to make better decisions and receive personalized treatment. As these technologies continue to develop and become integrated into standard healthcare practices, the future of healthcare will probably be more accessible, effective, and efficient than ever before.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 5","pages":"329-349"},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520245/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549987","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}
Linh Tran, Vuong Thanh Huan, Luu Lam Thang Tai, Adnan Safi, Moustafa ElBadry Ahmed, Mohamed Osman Algazar, Sedighe Karimzadeh, Nguyen Vinh Khang, Nguyen Hai Nam, Zaheer Ahmad Qureshi, Nguyen Lam Vuong, Le Huu Nhat Minh, Nguyen Tien Huy
Our study describes the reported rate of the Institutional Review Board (IRB) approval, declaration of Helsinki (DoH), and informed consent in the case reports and case series and investigates factors associated with the ethical approval report. We searched PubMed for case reports and case series from 2006 to 2017. Annually, we obtained the first 20 articles of a case report cluster from 20 distinct publications. This analysis initially contained at least 2400 papers, with 100 papers each study design and year. Only 26 (5.4%) of 480 included studies reported IRB approval, DoH approval, and participant informed consent; 58 (12.1%) reported two out of three ethical statements (DoH, informed consent, IRB); and 151 (31.5%) reported only one, leading to nearly 245 studies (51.0%) did not report any ethical approval item. Both clusters mentioned the DoH the least. Only years, ages, ethical item types, and cluster types were associated with ethical reporting practices. This study found the serious under-reporting of ethical practices in both case reports and case series.
{"title":"Reporting ethical approval in case reports and case series in 12 consecutive years: A systematic review","authors":"Linh Tran, Vuong Thanh Huan, Luu Lam Thang Tai, Adnan Safi, Moustafa ElBadry Ahmed, Mohamed Osman Algazar, Sedighe Karimzadeh, Nguyen Vinh Khang, Nguyen Hai Nam, Zaheer Ahmad Qureshi, Nguyen Lam Vuong, Le Huu Nhat Minh, Nguyen Tien Huy","doi":"10.1002/hcs2.113","DOIUrl":"10.1002/hcs2.113","url":null,"abstract":"<p>Our study describes the reported rate of the Institutional Review Board (IRB) approval, declaration of Helsinki (DoH), and informed consent in the case reports and case series and investigates factors associated with the ethical approval report. We searched PubMed for case reports and case series from 2006 to 2017. Annually, we obtained the first 20 articles of a case report cluster from 20 distinct publications. This analysis initially contained at least 2400 papers, with 100 papers each study design and year. Only 26 (5.4%) of 480 included studies reported IRB approval, DoH approval, and participant informed consent; 58 (12.1%) reported two out of three ethical statements (DoH, informed consent, IRB); and 151 (31.5%) reported only one, leading to nearly 245 studies (51.0%) did not report any ethical approval item. Both clusters mentioned the DoH the least. Only years, ages, ethical item types, and cluster types were associated with ethical reporting practices. This study found the serious under-reporting of ethical practices in both case reports and case series.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 5","pages":"298-311"},"PeriodicalIF":0.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520241/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549986","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}