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。

IF 1.4 Q4 PHARMACOLOGY & PHARMACY
Virendra S Gomase, Arjun P Ghatule, Rupali Sharma, Satish Sardana
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引用次数: 0

摘要

快速的医疗数字化带来了前所未有的潜力和严重的数据管理弱点,尤其是在临床试验中。人工智能(AI)为加强医疗系统的网络安全和确保法律合规性提供了创新方法。由于临床试验越来越依赖于患者数据、电子健康记录和实时监控设备,因此保护私人信息免受互联网威胁变得比以往任何时候都更加重要。本研究回顾了人工智能如何在临床试验设置中加强网络安全程序。当使用人工智能驱动技术进行实时威胁检测和响应时,数据泄露和未经授权的访问大大减少。这些系统通过使用机器学习算法不断适应不断变化的网络威胁,创建了传统安全措施所缺乏的动态防御机制。除了网络安全,人工智能还通过自动化数据处理程序来提高对GDPR和HIPAA等医疗保健法律的遵守。人工智能通过智能自动化确保临床试验遵循严格的监管标准,从而保护患者的机密性和数据完整性。此外,人工智能有助于检测和控制合规性问题,减轻人工监控并提高生产力。此外,该研究还解决了人工智能在临床试验中应用的困难,包括对透明算法的要求以及人工智能判断可能存在偏见的问题。然而,人工智能有能力通过正确的立法和道德准则彻底改变安全的医疗保健管理。综上所述,人工智能(AI)除了用于提高临床试验效率外,还是保证医疗数据保密性和合规性的重要工具。它的使用为现代临床试验网络安全的复杂性提供了一条前进的道路。人工智能的自动化和智能将帮助临床试验管理者和发起人在复杂的网络安全和合规性世界中导航,从而降低风险,提高试验速度和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
Reviews on recent clinical trials
Reviews on recent clinical trials PHARMACOLOGY & PHARMACY-
CiteScore
3.10
自引率
5.30%
发文量
44
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.
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