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

开发人工智能和机器学习支持的风险评估平台，以减少 NHS 中的欺诈行为

• 批准号: 10004726
• 金额: $ 47.77万
• 依托单位: FISCAL TECHNOLOGIES LTD.
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10004726
• 关键词: Development; AI; ML; enabled; risk

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.

据估计，NHS的欺诈、风险和合规性每年平均花费约57亿英镑，并拿走了可能用于患者护理的服务资金。特别是采购支出的总损失估计为10.5亿英镑。此外，尽管英格兰和威尔士的卫生机构内有300名经过专业培训和认证的本地反欺诈专家，但每年的欺诈损失仍在增长。整个NHS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，Fiscal Technologies Ltd，与阅读大学合作，正在开发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不断的风险评估来重新定义其方法中的“最先进水平”，以实现早期主动干预。拟议的NHS共同设计和GDPR兼容的开发，使用NHS提供的数据，将提供准确，无与伦比的洞察力，以降低采购风险。