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Mining Health Data for Clinical Decision Support, Enhanced Efficiency in Healthcare Delivery, and New Products

Mining Health Data for Clinical Decision Support, Enhanced Efficiency in Healthcare Delivery, and New Products
挖掘健康数据以支持临床决策、提高医疗保健服务效率和开发新产品
批准号:
CCB21-2021-00598
负责人:
Jones, Nathan
金额:
$16.03万
依托单位:
依托单位国家:
加拿大
项目类别:
Applied Research and Technology Partnership Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
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英文摘要
Worldwide, the costs and complexity of delivering healthcare are escalating rapidly, driven in part by longer human lifespans, the pervasiveness of chronic illnesses and infectious diseases, expanding regulatory and administrative overhead, and system-wide inefficiencies. Cost pressures are exacerbated by the growing convolution of the medical ecosystem and by expectations of better value-for-money, improved quality of care, and enhanced clinical outcomes by stakeholders at all levels, including patients, insurers, and governments. Record-keeping, compliance, and regulatory requirements have meant that organizations within the healthcare industry have historically generated huge quantities of data. These players are becoming aware that their accumulated "big data" may help them to overcome the challenges of healthcare delivery, but are not sure how.Discussions with our partners have revealed the following three gaps: (i) management understands that legacy data has inherent value, but does not know how to unlock that value in terms of new insights, products, and services; (ii) legacy data, typically captured over years or decades, is very often stored across multiple, disparate, heterogeneous databases which makes organizing and mining it difficult; and (iii) there is a pervasive lack of well-trained data analysts to tackle these challenges, and they are expensive to hire. There are therefore three general business needs facing health-related firms as they look for value in their historical data - for knowledge, technical capability, and skilled labour.With these needs in mind, we propose to leverage our expertise in Data Analytics to unlock latent value in large, historical datasets accumulated by Canadian health-related firms. (Data analytics is the process of planning for, acquiring, managing, transforming, and modelling data with the goal of discovering hidden patterns, informing conclusions, and supporting decision-making.) This value will take the form of clinical decision support, enhanced operational efficiency, and new data-driven products and services.Our partners are: Harris Healthcare, a start-up offering software services to healthcare providers; HeadCheck Health, a provider of end-to-end concussion protocol management tools for sports leagues; Prizm Media, one of North America's premier medical lead generation companies; and Springboard Clinic, a Toronto-based mental health provider focussed on treating ADHD in people of all ages.
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Mining Health Data for Clinical Decision Support, Enhanced Efficiency in Healthcare Delivery, and New Products
  • 批准号:
    CCB21-2021-00598
  • 项目类别:
    Applied Research and Technology Partnership Grants
  • 资助金额:
    $16.03万
  • 财政年份:
    2022
  • 负责人:
    Jones, Nathan
  • 依托单位:
Starch Nanoparticle Theragnostics
  • 批准号:
    454336-2014
  • 项目类别:
    Postgraduate Scholarships - Doctoral
  • 资助金额:
    $1.53万
  • 财政年份:
    2016
  • 负责人:
    Jones, Nathan
  • 依托单位:
Starch Nanoparticle Theragnostics
  • 批准号:
    454336-2014
  • 项目类别:
    Postgraduate Scholarships - Doctoral
  • 资助金额:
    $1.53万
  • 财政年份:
    2015
  • 负责人:
    Jones, Nathan
  • 依托单位:
Starch Nanoparticle Theragnostics
  • 批准号:
    454336-2014
  • 项目类别:
    Postgraduate Scholarships - Doctoral
  • 资助金额:
    $1.53万
  • 财政年份:
    2014
  • 负责人:
    Jones, Nathan
  • 依托单位:
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    2025C02186
  • 项目类别:
    省市级项目
  • 资助金额:
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  • 批准年份:
    2025
  • 负责人:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
    张晓溪
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基于 One Health 策略的 mcr 阳性多重耐药 ST34 型沙门菌的流行传播机制及溯源研究
  • 批准号:
    Y24H190002
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    罗琦霞
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