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CREATE Training Program in Medical Informatics: Preparing Canada's Workforce for Health Data of Tomorrow

CREATE Training Program in Medical Informatics: Preparing Canada's Workforce for Health Data of Tomorrow
创建医疗信息学培训计划:让加拿大劳动力为明天的健康数据做好准备
批准号:
555366-2021
负责人:
Mousavi, Parvin
金额:
$10.79万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Training Experience
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
Digital health is transforming the way Canadians access health care, altering clinical workflows while providing unique opportunities for computing sciences to revolutionize health and operational decision making. While G7 governments were set to focus on this topic in 2020, specifically on the Centrality of Digital Health Collaboration to Progress, the unprecedented impact of the COVID-19 pandemic has made clear the critical need to understand the significance of data and its interpretation for decision making. As Canada and the world tackle questions ranging from high level policies on population and resources to day-to-day predictive analysis of patient outcomes, skilled workforce preparedness in informatics and computing sciences with necessary context in health data and its application is vital. The silver lining of the current pandemic may lie in resources that Canada is investing to prepare our collective response, critically aided by data. While AI and informatics show great promise in rapid analysis of next-generation large scale data, future workers will require highly specialized training due to the unique nature of health data. Information and Communications Technology Council of Canada projects demand for >300K skilled workers with expertise in computational sciences by 2023. Of those, >120K will contribute to health and biotechnology, one of six innovation areas of the future economy. To forge successful careers in the new job market, HQP in our CREATE program will not only learn state of the art in computing and informatics, but also develop a depth and breadth of understanding of the health data context and a flexibility in approach that allows them to stay current in such a rapidly changing setting. We partner with key stakeholders in medical informatics, and complement technical training with innovations in problem solving, experiential learning and professional growth. To solidify Canada's competitive advantage in the global space, we contribute to concerted efforts to train computer scientists with multidisciplinary experience and by engaging diverse groups including women, Black and Indigenous communities, internationally-educated professionals, those transitioning careers, and persons with disabilities.
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Learning Algorithms for Predictive Modeling in Biomedical Computing: Methods and Applications
  • 批准号:
    RGPIN-2020-07117
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2022
  • 负责人:
    Mousavi, Parvin
  • 依托单位:
Learning Algorithms for Predictive Modeling in Biomedical Computing: Methods and Applications
  • 批准号:
    RGPIN-2020-07117
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2021
  • 负责人:
    Mousavi, Parvin
  • 依托单位:
An integrated spectroscopy-ultrasound surgical navigation system for residual cancer detection in breast surgery.
  • 批准号:
    538824-2019
  • 项目类别:
    Collaborative Health Research Projects
  • 资助金额:
    $9.79万
  • 财政年份:
    2020
  • 负责人:
    Mousavi, Parvin
  • 依托单位:
Learning Algorithms for Predictive Modeling in Biomedical Computing: Methods and Applications
  • 批准号:
    RGPIN-2020-07117
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2020
  • 负责人:
    Mousavi, Parvin
  • 依托单位:
海外基金