TrialSense Data Guardian: Development of real time automated quality artificial intelligence for decentralised clinical trial data

TrialSense Data Guardian：为分散的临床试验数据开发实时自动化质量人工智能

• 批准号: 10046956
• 金额: $ 6.37万
• 依托单位: TRIALSENSE LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10046956
• 关键词: TrialSense; Data; Guardian; Development; real

Clinical trials are vital to improving the health of everyone. Delays in clinical trials are common and are hugely costly both financially and to patients who may lose out on potential innovative benefits.One source of delays are due to problems found when checking the quality of data within clinical trials. This is traditionally done after all the data is collected. It can be very difficult to resolve a problem months or years later resulting in significant delays and costs incurred.We have developed an artificial intelligence programme to detect the major causes of these problems in real time as the data is being entered. This has the potential to save hundreds of hours of data checking and correction per clinical trial. We wish to refine and test this further to ensure we can maximise the benefit of this before providing it as a solution for all clinical trials.

临床试验对改善每个人的健康至关重要。临床试验的延迟是常见的，无论是在经济上还是对可能失去潜在创新好处的患者来说，都会付出巨大的代价。延迟的一个来源是在检查临床试验中的数据质量时发现的问题。传统上，这是在收集完所有数据后完成的。一个问题可能很难在几个月或几年后解决，导致重大延误和成本。我们开发了一个人工智能程序，在输入数据时实时检测这些问题的主要原因。这有可能为每个临床试验节省数百小时的数据检查和更正时间。我们希望进一步完善和测试这一点，以确保在为所有临床试验提供解决方案之前，我们能够最大限度地发挥这一点的好处。