Development of an AI and ML enabled risk assessment platform to reduce fraud in the NHS

据估计，NHS的欺诈、风险和合规问题每年平均造成约57亿英镑的损失，并夺走了本可用于患者护理的资金。特别是，采购支出的总损失估计为10.5亿英镑。此外，尽管在英格兰和威尔士的卫生机构中有300名经过专业培训和认证的当地反欺诈专家，但每年的欺诈损失仍在增加。在整个NHS中，没有有效的解决方案可以有效地管理采购欺诈和错误的风险。为了满足这一未满足的市场需求，财政技术有限公司与雷丁大学合作开发了一个基于机器学习的风险管理平台，该平台将通过自动化持续的风险评估来重新定义其方法中的“最新技术”，从而实现早期主动干预。拟议的NHS共同设计和符合gdpr的开发，使用NHS提供的数据，将提供准确的，无与伦比的见解，以降低采购风险。

Fraud, risk and compliance in the NHS is estimated to cost on average around £5.7 billion every year and takes away money which services could be spending on patient care. In particular, the total loss of procurement expenditure is estimated to be £1.05 billion. Moreover, the annual fraud losses are still growing in spite of the 300 professionally trained and accredited Local Counter Fraud Specialists who are in place within health bodies across England and Wales.There are no effective solutions available across the NHS which can manage the risk of procurement fraud and errors effectively and efficiently.To meet this unmet market need, Fiscal Technologies Ltd, in collaboration with University of Reading are developing a Machine Learning based risk managment platform which will redefine "state of the art" in its approach by automating constant and continuous risk assessment to enable early proactive intervention.The proposed NHS co-designed and GDPR-compliant development, using NHS-provided data, will provide accurate, unparalleled insights to reduce procurement risks.