Virendra S Gomase, Arjun P Ghatule, Rupali Sharma, Satish Sardana
{"title":"临床试验中的网络安全和合规性:人工智能在安全医疗管理中的作用。","authors":"Virendra S Gomase, Arjun P Ghatule, Rupali Sharma, Satish Sardana","doi":"10.2174/0115748871366467250413070850","DOIUrl":null,"url":null,"abstract":"<p><p>Rapid healthcare digitization has created both previously unheard-of potential and serious data management weaknesses, especially in clinical trials. Artificial Intelligence (AI) offers innovative approaches to enhancing cybersecurity and ensuring legal compliance in healthcare systems. Protecting private information from internet threats is more crucial than ever because clinical trials are increasingly reliant on patient data, electronic health records, and realtime monitoring devices. This study reviews how AI might strengthen cybersecurity procedures in clinical trial setups. Data breaches and unauthorized access are significantly reduced when AIdriven technologies are used for real-time threat detection and response. These systems create a dynamic defense mechanism that traditional security measures lack by continuously adapting to changing cyber threats using machine learning algorithms. In addition to cybersecurity, AI improves adherence to healthcare laws like GDPR and HIPAA by automating data processing procedures. AI protects patient confidentiality and data integrity by ensuring that clinical trials follow stringent regulatory criteria through intelligent automation. Additionally, AI helps detect and control compliance issues, relieving human monitoring and boosting productivity. Additionally, the study addresses the difficulties in applying AI in clinical trials, including the requirement for transparent algorithms and the possibility of bias in AI judgment. However, AI has the capacity to completely transform safe healthcare administration with the correct legislation and ethical guidelines. In conclusion, artificial intelligence (AI) is a vital tool for guaranteeing the confidentiality and legal compliance of medical data in addition to using it to increase clinical trial efficiency. The use of it offers a path forward in terms of the complexities of modern clinical trial cybersecurity. AI's automation and intelligence will lower risk and increase trial speed and accuracy by assisting clinical trial administrators and sponsors in navigating the complicated world of cybersecurity and compliance.</p>","PeriodicalId":21174,"journal":{"name":"Reviews on recent clinical trials","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cybersecurity and Compliance in Clinical Trials: The Role of Artificial Intelligence in Secure Healthcare Management.\",\"authors\":\"Virendra S Gomase, Arjun P Ghatule, Rupali Sharma, Satish Sardana\",\"doi\":\"10.2174/0115748871366467250413070850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Rapid healthcare digitization has created both previously unheard-of potential and serious data management weaknesses, especially in clinical trials. Artificial Intelligence (AI) offers innovative approaches to enhancing cybersecurity and ensuring legal compliance in healthcare systems. Protecting private information from internet threats is more crucial than ever because clinical trials are increasingly reliant on patient data, electronic health records, and realtime monitoring devices. This study reviews how AI might strengthen cybersecurity procedures in clinical trial setups. Data breaches and unauthorized access are significantly reduced when AIdriven technologies are used for real-time threat detection and response. These systems create a dynamic defense mechanism that traditional security measures lack by continuously adapting to changing cyber threats using machine learning algorithms. In addition to cybersecurity, AI improves adherence to healthcare laws like GDPR and HIPAA by automating data processing procedures. AI protects patient confidentiality and data integrity by ensuring that clinical trials follow stringent regulatory criteria through intelligent automation. Additionally, AI helps detect and control compliance issues, relieving human monitoring and boosting productivity. Additionally, the study addresses the difficulties in applying AI in clinical trials, including the requirement for transparent algorithms and the possibility of bias in AI judgment. However, AI has the capacity to completely transform safe healthcare administration with the correct legislation and ethical guidelines. In conclusion, artificial intelligence (AI) is a vital tool for guaranteeing the confidentiality and legal compliance of medical data in addition to using it to increase clinical trial efficiency. The use of it offers a path forward in terms of the complexities of modern clinical trial cybersecurity. AI's automation and intelligence will lower risk and increase trial speed and accuracy by assisting clinical trial administrators and sponsors in navigating the complicated world of cybersecurity and compliance.</p>\",\"PeriodicalId\":21174,\"journal\":{\"name\":\"Reviews on recent clinical trials\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reviews on recent clinical trials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0115748871366467250413070850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reviews on recent clinical trials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115748871366467250413070850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Cybersecurity and Compliance in Clinical Trials: The Role of Artificial Intelligence in Secure Healthcare Management.
Rapid healthcare digitization has created both previously unheard-of potential and serious data management weaknesses, especially in clinical trials. Artificial Intelligence (AI) offers innovative approaches to enhancing cybersecurity and ensuring legal compliance in healthcare systems. Protecting private information from internet threats is more crucial than ever because clinical trials are increasingly reliant on patient data, electronic health records, and realtime monitoring devices. This study reviews how AI might strengthen cybersecurity procedures in clinical trial setups. Data breaches and unauthorized access are significantly reduced when AIdriven technologies are used for real-time threat detection and response. These systems create a dynamic defense mechanism that traditional security measures lack by continuously adapting to changing cyber threats using machine learning algorithms. In addition to cybersecurity, AI improves adherence to healthcare laws like GDPR and HIPAA by automating data processing procedures. AI protects patient confidentiality and data integrity by ensuring that clinical trials follow stringent regulatory criteria through intelligent automation. Additionally, AI helps detect and control compliance issues, relieving human monitoring and boosting productivity. Additionally, the study addresses the difficulties in applying AI in clinical trials, including the requirement for transparent algorithms and the possibility of bias in AI judgment. However, AI has the capacity to completely transform safe healthcare administration with the correct legislation and ethical guidelines. In conclusion, artificial intelligence (AI) is a vital tool for guaranteeing the confidentiality and legal compliance of medical data in addition to using it to increase clinical trial efficiency. The use of it offers a path forward in terms of the complexities of modern clinical trial cybersecurity. AI's automation and intelligence will lower risk and increase trial speed and accuracy by assisting clinical trial administrators and sponsors in navigating the complicated world of cybersecurity and compliance.
期刊介绍:
Reviews on Recent Clinical Trials publishes frontier reviews on recent clinical trials of major importance. The journal"s aim is to publish the highest quality review articles in the field. Topics covered include: important Phase I – IV clinical trial studies, clinical investigations at all stages of development and therapeutics. The journal is essential reading for all researchers and clinicians involved in drug therapy and clinical trials.