AI-Driven Primary Care Clinical Assessment Platform for Allied Health Professionals (PC-CAP)
AI-Driven Primary Care Clinical Assessment Platform for Allied Health Professionals (PC-CAP)
批准号:
10038273
负责人:
金额:
$33.21万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
NHS初级保健正处于危机之中:全科医生的数量急剧下降(比2015年减少1,565 FTE),需求不断上升(610万等候名单; 2022年3月预约3010万)。他们正在努力招聘和留住工作人员(预计5年内将短缺7,000名GP)。NHS长期计划旨在应对这些挑战,拨款45亿英镑用于扩大专职医疗保健人员(AHPs)的作用,为护士助理、医生助理、临床药剂师和社会处方链接工作者提供更多的一线临床评估和分诊职责。这种劳动力重新设计带来了新的挑战。AHPs报告说,他们感到自己的深度不够,往往需要高级指导。这导致工作流程效率低下,中断,患者交付不一致和护理延迟,造成高水平的倦怠(2020/21年度44%的AHPs报告工作焦虑)和20%的离职率。AHPs提出了对AHPs特定支持工具的迫切需求,现有系统无法满足其需求。该项目将提供DemDx的初级保健临床评估平台(PC-CAP):专为AHPs设计的唯一支持工具。创新包括:* 技术:人工智能允许动态考虑经过验证的NICE CKS数据中的10,000个症状,差异和“红旗”之间的复杂关联。PC-CAP的数据驱动(相对于专家驱动)方法将使AHP能够理解复杂的数据关联,从而做出安全、一致的决策。PC-CAP提供数据加权,能够识别和优先考虑最可能的条件,提高建议的准确性。它链接到当地的途径/协议,以告知最佳的转诊选择。所有输出都是针对AHP能力定制的,我们最初专注于常见的轻微疾病。人工智能的概念验证已在Moorfield眼科医院进行了演示。*科学性:由数据集提供支持,包括Oxford-RCGP数据集,涵盖1800个一般实践,NICE CKS和PCN匿名患者数据。商业广告:专为AHPs设计的唯一解决方案;完全可互操作的系统,可获得许可并集成到全球临床路径中。PC-CAP通过以下方式提供社会经济影响:* 使AHPs能够自信地、自主地进行任命。提高全科医生专注于复杂患者的能力。*减少等待时间,防止病情升级,缩短治疗途径,减少住院人数;改善护理和质量调整生命年。每年为NHS节省1690万英镑:减少运营成本(680万英镑),A&E访问(500万英镑),救护车(380万英镑)和GP临时费用(100万英镑)。我们的服务目标市场为英国1.6亿英镑,全球23亿英镑,在初级,社区,紧急,紧急和二级护理中使用案例。
英文摘要
NHS Primary Care is in crisis: GP practices are experiencing sharply declining GP numbers (1,565 FTE fewer than 2015) and rising demand (6.1m waiting lists; 30.1m appointments in March 2022). They are struggling to recruit and retain staff (7,000 GP shortfall projected within 5 years). This impacts patient care.The NHS Long Term Plan aims to meet these challenges, allocating £4.5bn to expand the role of allied healthcare professionals (AHPs), giving more front-line clinical assessment and triage responsibilities to nurse associates, physician associates, clinical pharmacists and social prescribing link workers.This workforce redesign brings new challenges. AHPs are reporting feeling out-of-their-depth and often requiring senior guidance. This is resulting in inefficient, disrupted workflows, inconsistent patient delivery and delays in care, creating high levels of burnout (44% of AHPs reported job anxiety in 2020/21) and 20% turnover. AHPs have raised the urgent need for AHP-specific support tools, with existing systems not meeting their needs.This project will deliver DemDx's Primary Care Clinical Assessment Platform (PC-CAP): the only support tool designed specifically for and with AHPs. Innovations include:* Technical: AI allowing dynamic consideration of complex associations across 10,000s of symptoms, differentials and "red flags" in validated NICE CKS data. PC-CAP's data-driven (vs specialist-driven) approach will enable AHPs to make sense of complex data associations to make safe, consistent decisions. PC-CAP provides data weighting, enabling identification and prioritisation of most probable conditions, driving accuracy of recommendations. It links to local pathways/protocols to inform best referral options. All outputs are tailored to AHP competencies, and we initially focus on common minor illnesses. Proof-of-concept of the AI has been demonstrated at Moorfield's Eye Hospital.* Scientific: powered by datasets, including Oxford-RCGP dataset, covering 1800 general practices, NICE CKS, and PCN anonymised patient data.* Commercial: the only solution designed specifically for AHPs; fully interoperable system which can be licenced and integrated into clinical pathways worldwide..PC-CAP offers socio-economic impact by:* enabling AHPs to confidently, autonomously undertake appointments.* increasing GP capacity to focus on complex patients.* reducing waiting times, preventing escalation of conditions, enabling shorter treatment pathways, reducing hospital admissions; improving care and quality adjusted life years.* enabling £16.9m/year NHS savings: reduced operational (£6.8m), A&E visit (£5m), ambulance (£3.8m) and GP locum costs (£1m).Our serviceable addressable market is £160m UK and £2.3bn worldwide, with use cases in primary, community, urgent, emergency and secondary care.
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国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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批准号:--
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项目类别:外国青年学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:江洋子
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依托单位: