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

临床试验对改善每个人的健康至关重要。临床试验的延迟是很常见的，这对经济和患者来说都是巨大的代价，他们可能会失去潜在的创新效益。延误的一个原因是在检查临床试验数据质量时发现的问题。这通常是在收集完所有数据之后进行的。在几个月或几年后解决问题可能会非常困难，从而导致严重的延迟和成本。我们开发了一个人工智能程序，在数据输入时实时检测这些问题的主要原因。这有可能为每次临床试验节省数百小时的数据检查和校正。我们希望进一步完善和测试，以确保在将其作为所有临床试验的解决方案之前，我们可以最大限度地发挥其益处。

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.