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

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
负责人:
金额:
$47.77万
依托单位:
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
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
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英文摘要
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.
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