Comprehensive solutions of healthcare improvement based on the global Registry of Stroke Care Quality
Comprehensive solutions of healthcare improvement based on the global Registry of Stroke Care Quality
批准号:
10049665
负责人:
金额:
$43.92万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
RES-Q+将在RES-Q(中风护理质量登记处)成功的基础上,通过收集和分析出院报告来提高中风护理质量。RES-Q+将通过捕获整个患者路径来彻底改变这些改进。该解决方案将NLP与经临床验证的语义模型相结合,以自动获取不同语言的医院出院报告,并协助审计和反馈。这将包括为这类报告创建一个标准模型,并使用人工智能来推算丢失的数据。进一步的增强包括创建两个新型的人工智能语音助手,一个帮助患者提供关于他们健康的反馈,另一个帮助医生提供高质量的护理。我们将把所有这些工具集成到RES-Q+中。这将是欧洲开放式中风数据平台的基础,这是一个开放的研究平台,用于欧洲各国的数据汇总、语义统一和互操作性,以促进健康数据的使用和再利用。我们将促进定义标准的欧洲中风医院出院报告交换格式的努力,作为更好地二次使用数据和一般医疗保健的工具。财团法律合作伙伴将开发一个全面的法律和道德工具箱,作为法律合规的指导。这将通过整合所有当前和拟议的联盟立法,促进这种基于人工智能的新型解决方案的更广泛采用。我们的临床合作伙伴将提供医疗记录并指导开发,以最大限度地提高临床实用性并验证最终解决方案。RES-Q+将在全球部署,以巩固我们作为欧洲和全球质量改进领导者的地位。最终,我们将保证公民在住院期间的质量控制水平与乘坐商用飞机时的质量控制水平类似。
英文摘要
RES-Q+ will build on the success of RES-Q (REgistry of Stroke Care Quality) - currently, used by many EU countries and 74 worldwide - to improve stroke care quality by collecting and analyzing hospital discharge reports. RES-Q+ will revolutionize these improvements by capturing the whole patient pathway. The solution will combine NLP with a clinically-validated semantic model to automate ingestion of hospital discharge reports in different languages and assist with audit and feedback. This will include creating a standard model for such reports and using AI to impute missing data. Further augmentations include the creation of two novel AI voice assistants, one to help patients provide feedback on their health and the other to help physicians provide high quality care. We will integrate all these tools into RES-Q+. This will be the basis for a European Open Stroke Data Platform, an open research platform for data aggregation, semantic harmonization and interoperability across European countries to promote the use and re-use of health data. We will facilitate efforts to define a standard European Stroke Hospital Discharge Report Exchange Format as a tool for better secondary use of data and healthcare in general. Consortium legal partners will develop a comprehensive legal and ethical toolbox as guidance towards legal compliance. This will boost wider adoption of such novel AI-based solutions by integrating all current and proposed Union legislation. Our clinical partners will provide medical records and steer the development to maximize clinical utility and validate final solutions. RES-Q+ will be deployed globally to solidify our position as European and global leader in quality improvement. Eventually we will guarantee citizens a similar level of quality control during hospitalizations as when flying in a commercial plane.
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国内基金
海外基金
无穷维哈密顿系统的KAM理论
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批准号:10771098
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项目类别:面上项目
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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:耿建生
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依托单位: