Applying Data Science, AI/ML To Improve Social Outcomes in NHS (and wider) Procurement

应用数据科学、人工智能/机器学习来改善 NHS（及更广泛的）采购中的社会成果

• 批准号: 10032917
• 金额: $ 40.71万
• 依托单位: CIMPLE LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative 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=10032917
• 关键词: Applying; Data; Science; AI; ML

In 2020 the Government set out how procurement would transform post-EU exit through a [Greenpaper][0] as well as procurement policies focussed on [Social Value][1] assessments and [Net Zero][2] plans for large contracts.The combination of these policy shifts is driving wholesale change in how Government and the Private Sector work together. The specific challenge within the NHS, echoed across the rest of Government and industry alike, is digital experiences are not sufficient to enable tracking of social/climate outcomes from procurement. There is limited ability to track impacts and outcomes end-to-end with measurement on social/climate based outcomes currently being done separately after the event.[Cimple][3] is teaming up with [NHS SBS][4] and [Behavioural Insights Team][5] to research the challenge end-to-end combining the situation within the _Health Family & System_, the digital interface developed by Cimple and the data/behavioural science expertise of BIT.The **scope of the project** is to use digital techniques including data science, behavioural science and applications of AI/Machine Learning to improve societal outcomes delivered through Government Procurement. The project will:* Use procurement and finance data to define social/climate measures, aligned to policy, to be tracked.* Develop behavioural nudges and features into the existing Cimple platform to improve social/climate impacts from procurement.* Connect future spend data back in to measure and report on the improvements as well as define develop policy improvements.The Smart Grant submission is a **mixture of industrial research and experimental development.**The **outcome of the industrial research** is to understand the data, data gaps, the techniques to assess social and climate impacts and the behavioural nudges to be developed to improve buyer behaviour end-to-end.The **outcome of the experimental development** will then be to deploy features into the Cimple platform to change buyer/supplier behaviour and to enable tracking of social and climate outcomes post contract award. This will be tested with NHS SBS customers across Health Family & System. Positive feedback loops will help to measure the efficacy of policy and inform policy improvements.The specific **outcomes from the innovation** are the ability to:* Assess social value outcomes throughout the supply chain for true end-to-end tracking.* Nudge Cimple buyers towards higher social value suppliers, ensuring information translates into action.* Build live open data streams, as advocated by the [National Data Strategy][6], to enable positive feedback loops and optimisation of government policy.[0]: https://www.gov.uk/government/consultations/green-paper-transforming-public-procurement[1]: https://www.gov.uk/government/publications/procurement-policy-note-0620-taking-account-of-social-value-in-the-award-of-central-government-contracts[2]: https://www.gov.uk/government/publications/procurement-policy-note-0621-taking-account-of-carbon-reduction-plans-in-the-procurement-of-major-government-contracts[3]: https://cimple.uk/[4]: https://www.sbs.nhs.uk/[5]: https://www.bi.team/[6]: https://www.gov.uk/guidance/national-data-strategy

2020年，政府通过[绿皮书][0]以及专注于[社会价值][1]评估和[净零][2]大型合同计划的采购政策，阐述了采购将如何改变后欧盟退出。这些政策转变的结合正在推动政府和私营部门合作方式的全面变革。NHS内部的具体挑战在政府和行业的其他部门都得到了回应，即数字体验不足以跟踪采购的社会/气候结果。端到端跟踪影响和成果的能力有限，目前对社会/气候成果的衡量是在活动结束后单独进行的。[Cimple][3]正在与[NHS SBS][4]和[行为洞察团队][5]合作，结合_Health Family & System_中的情况，Cimple开发的数字接口和BIT的数据/行为科学专业知识，端到端地研究挑战。该项目的 ** 范围 * 是使用包括数据科学在内的数字技术，行为科学和人工智能/机器学习的应用，以改善通过政府采购提供的社会成果。* 利用采购和财务数据确定与政策相一致的社会/气候措施，并予以跟踪。在现有的Cimple平台中开发行为推动和功能，以改善采购的社会/气候影响。将未来的支出数据连接起来，以衡量和报告改进情况，并定义和制定政策改进。Smart Grant提交的是工业研究和实验开发的混合物。工业研究的 ** 成果 ** 是了解数据、数据缺口、评估社会和气候影响的技术，以及为端到端改善买方行为而开发的行为推动。然后，** 实验开发的 ** 成果 * 将是在Cimple平台中部署功能，以改变买方/供应商行为，并在合同授予后跟踪社会和气候结果。这将与NHS SBS客户在整个健康家庭和系统进行测试。正反馈循环将有助于衡量政策的有效性，并为政策改进提供信息。创新的具体 ** 成果 ** 是能够：* 评估整个供应链的社会价值成果，以实现真正的端到端跟踪。*将Cimple买家推向更高社会价值的供应商，确保信息转化为行动。按照[国家数据战略][6]的主张，建立实时开放数据流，以实现积极的反馈循环和政府政策的优化。[0]：https：//www.gov.uk/government/consultations/green-paper-transforming-public-procurement [1]：https：//www.gov.uk/government/publications/procurement-policy-note-0620-taking-account-of-social-value-in-the-award-of-central-government-contracts[2]：https：//www.gov.uk/government/publications/procurement-policy-note-0621-taking-account-of-carbon-reduction-plans-in-the-procurement-of-major-government-contracts[3]：https：//cimple.uk/[4]：https：//www.sbs.nhs.uk/[5]：https：//www.bi.team/[6]：https://www.gov.uk/guidance/national-data-strategy