材料监控的进展:一个全面的概述
D Vikas1, Rajesh Venkataraman1, A Hafis2
1Department of Pharmacy Practice, Sri Adichunchanagiri College of Pharmacy, Adichunchanagiri University, Mandya, Karnataka, India.
Perspectives in clinical research
|July 28, 2025
概括
有效的物质监测 (医疗器械安全监测) 对于患者安全至关重要. 像人工智能和机器学习这样的先进技术增强了医疗器械风险管理和监管合规性.
科学领域:
- 医疗工程 医学工程
- 公共卫生 公共卫生
- 监管科学 监管科学
背景情况:
- 在使用医疗设备时,患者安全至关重要,需要强大的风险管理和监控系统.
- 专注于识别和解决与医疗器械相关的不良事件的材料监控,通过国际合作和技术进步而发展.
- 人工智能 (AI) 和机器学习 (ML) 的整合通过实现实时数据分析和早期安全问题检测,显著提高了物质警.
研究的目的:
- 突出材料监控在确保医疗器械安全方面的关键作用.
- 检查AI和ML对改善物质监控流程的影响.
- 解决医疗设备监控基础设施的挑战和战略,特别是在印度等发展中国家.
主要方法:
- 审查现有的物质监控框架及其演变.
- 在实时数据分析中对AI和ML应用进行分析,以检测安全问题.
- 案例研究方法检查印度的物质监控计划及其挑战.
主要成果:
- 人工智能和机器学习的整合显然提高了物质监控的效率和有效性.
- 增强的数据分析能力可以更早地发现医疗器械的潜在安全问题.
- 利益相关者 (工程师,监管机构,医疗保健专业人员,工业) 的合作对于进步至关重要.
结论:
- 材料监管对于保护公共健康和确保医疗器械的有效性至关重要.
- 技术的不断进步和监管的遵守对于医疗器械安全的未来至关重要.
- 加强基础设施和解决数据质量问题是全球物质监测工作的首要任务.
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