New machine learning tool to improve public and patient involvement and engagement
New machine learning tool to improve public and patient involvement and engagement
批准号:
86155
负责人:
金额:
$8.99万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
在新冠肺炎疫情中,致力于患者和公众参与的法定政策承诺以及卫生系统的共同决策放弃了“没有我们就没有任何东西”的口头禅。由于新冠肺炎,临床研究机构、企业和行业要么完全停止了患者和公众对研究设计的参与和参与,要么试图以手动和低效的方式解决研究中的PPIE问题,这种方式限制了进行患者和公众参与和参与(PPIE)的速度、可及性、量化和采用的新方式。Inclusive是一个患者和公众参与管理系统,它结合了机器学习和人工智能,以简化缓慢的手动管理工作流程,并使用创新工具,如人工智能构建的潜在合作者目录以及自动文档创建和填充。该平台将为医学研究机构提供更多接触不同患者、社区团体和企业的机会,以及支持Covid安全和环境友好的PPIE管理方法的数字工具。
英文摘要
The Covid-19 pandemic has seen statutory policy commitments to patient and public involvement and shared decision making in health systems abandon the "nothing about us without us" mantra. As a result of Covid-19, clinical research institutions, businesses, and industry have either halted patient and public involvement and engagement in research design entirely, or tried to address PPIE in research in a manual and inefficient way which limits the speed, accessibility, quantification and adoption of a new way of doing patient and public involvement and engagement (PPIE) in business. 'Inclusive' is a Patient and Public Engagement Management System which incorporates machine learning and AI to streamline slow, manual administrative workflows with innovative tools such as AI-built directories of potential collaborators and automated document creation and population. The platform will provide medical research institutions with greater access to diverse patients, community groups and businesses as well as digital tools to support Covid-safe and environmentally friendly methods of PPIE management.
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海外基金
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批准号:
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:Nicola Rosario Napolitano
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依托单位:
非标准随机调度模型的最优动态策略
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批准号:71071056
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项目类别:面上项目
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资助金额:28.0万元
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批准年份:2010
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负责人:吴贤毅
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依托单位:
微生物发酵过程的自组织建模与优化控制
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批准号:60704036
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项目类别:青年科学基金项目
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资助金额:21.0万元
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批准年份:2007
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负责人:高学金
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依托单位: