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
基本信息
- 批准号:555366-2021
- 负责人:
- 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
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
数字健康正在改变加拿大人获得医疗保健的方式,改变临床工作流程,同时为计算科学提供独特的机会,使健康和运营决策发生革命性变化。虽然七国集团各国政府将在2020年重点关注这一话题,特别是数字医疗协作对进步的核心意义,但新冠肺炎疫情前所未有的影响已经清楚地表明,迫切需要理解数据及其解释对决策的重要性。随着加拿大和世界处理从人口和资源的高级别政策到对患者结果的日常预测分析等一系列问题,在信息学和计算机科学方面熟练的劳动力准备以及对卫生数据及其应用的必要背景至关重要。当前大流行的一线希望可能在于加拿大正在投资的资源,以准备我们的集体应对措施,关键是得到数据的帮助。虽然人工智能和信息学在快速分析下一代大规模数据方面显示出巨大的希望,但由于健康数据的独特性质,未来的工作人员将需要高度专业化的培训。加拿大信息和通信技术理事会预计,到2023年,对具有计算科学专业知识的熟练工人的需求为30万人。其中,12万英镑将用于健康和生物技术领域,这是未来经济的六个创新领域之一。为了在新的就业市场上打造成功的职业生涯,我们Create项目中的HQP不仅将学习计算机和信息学的最新技术,还将发展对健康数据背景的深度和广度的理解,以及方法的灵活性,使他们能够在这样一个快速变化的环境中保持最新。我们与医疗信息学领域的主要利益相关者合作,并以解决问题、体验式学习和专业成长方面的创新来补充技术培训。为了巩固加拿大在全球空间的竞争优势,我们为培养具有多学科经验的计算机科学家做出贡献,并通过吸引不同群体的参与,包括妇女、黑人和土著社区、接受国际教育的专业人员、那些转型职业的人和残疾人。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Mousavi, Parvin其他文献
SimITK: Visual Programming of the ITK Image-Processing Library within Simulink
- DOI:
10.1007/s10278-013-9667-7 - 发表时间:
2014-04-01 - 期刊:
- 影响因子:4.4
- 作者:
Dickinson, Andrew W. L.;Abolmaesumi, Purang;Mousavi, Parvin - 通讯作者:
Mousavi, Parvin
A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy
- DOI:
10.1016/j.media.2018.05.010 - 发表时间:
2018-08-01 - 期刊:
- 影响因子:10.9
- 作者:
Abu Anas, Emran Mohammad;Mousavi, Parvin;Abolmaesumi, Purang - 通讯作者:
Abolmaesumi, Purang
Tissue Classification Using Ultrasound-Induced Variations in Acoustic Backscattering Features
- DOI:
10.1109/tbme.2012.2224111 - 发表时间:
2013-02-01 - 期刊:
- 影响因子:4.6
- 作者:
Daoud, Mohammad I.;Mousavi, Parvin;Abolmaesumi, Purang - 通讯作者:
Abolmaesumi, Purang
Biomechanically constrained groupwise ultrasound to CT registration of the lumbar spine
- DOI:
10.1016/j.media.2010.07.008 - 发表时间:
2012-04-01 - 期刊:
- 影响因子:10.9
- 作者:
Gill, Sean;Abolmaesumi, Purang;Mousavi, Parvin - 通讯作者:
Mousavi, Parvin
Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series
- DOI:
10.1109/tbme.2008.2009766 - 发表时间:
2009-09-01 - 期刊:
- 影响因子:4.6
- 作者:
Moradi, Mehdi;Abolmaesumi, Purang;Mousavi, Parvin - 通讯作者:
Mousavi, Parvin
Mousavi, Parvin的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Mousavi, Parvin', 18)}}的其他基金
Learning Algorithms for Predictive Modeling in Biomedical Computing: Methods and Applications
生物医学计算中预测建模的学习算法:方法与应用
- 批准号:
RGPIN-2020-07117 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Discovery Grants Program - Individual
Learning Algorithms for Predictive Modeling in Biomedical Computing: Methods and Applications
生物医学计算中预测建模的学习算法:方法与应用
- 批准号:
RGPIN-2020-07117 - 财政年份:2021
- 资助金额:
$ 10.79万 - 项目类别:
Discovery Grants Program - Individual
An integrated spectroscopy-ultrasound surgical navigation system for residual cancer detection in breast surgery.
用于乳腺手术中残留癌症检测的集成光谱超声手术导航系统。
- 批准号:
538824-2019 - 财政年份:2020
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Health Research Projects
Learning Algorithms for Predictive Modeling in Biomedical Computing: Methods and Applications
生物医学计算中预测建模的学习算法:方法与应用
- 批准号:
RGPIN-2020-07117 - 财政年份:2020
- 资助金额:
$ 10.79万 - 项目类别:
Discovery Grants Program - Individual
An integrated spectroscopy-ultrasound surgical navigation system for residual cancer detection in breast surgery.
用于乳腺手术中残留癌症检测的集成光谱超声手术导航系统。
- 批准号:
538824-2019 - 财政年份:2019
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Health Research Projects
Towards Integrative Data Analysis for Predictive Modeling in Biomedical Computing
生物医学计算中预测建模的综合数据分析
- 批准号:
RGPIN-2015-06051 - 财政年份:2019
- 资助金额:
$ 10.79万 - 项目类别:
Discovery Grants Program - Individual
Towards Integrative Data Analysis for Predictive Modeling in Biomedical Computing
生物医学计算中预测建模的综合数据分析
- 批准号:
RGPIN-2015-06051 - 财政年份:2018
- 资助金额:
$ 10.79万 - 项目类别:
Discovery Grants Program - Individual
A system for multi-parametric real-time analysis of tissue properties
组织特性多参数实时分析系统
- 批准号:
RTI-2018-00887 - 财政年份:2017
- 资助金额:
$ 10.79万 - 项目类别:
Research Tools and Instruments
Towards Integrative Data Analysis for Predictive Modeling in Biomedical Computing
生物医学计算中预测建模的综合数据分析
- 批准号:
RGPIN-2015-06051 - 财政年份:2017
- 资助金额:
$ 10.79万 - 项目类别:
Discovery Grants Program - Individual
RF Time Series Flashlight for Targeted Prostate Biopsy
用于靶向前列腺活检的射频时间序列手电筒
- 批准号:
462493-2014 - 财政年份:2016
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Health Research Projects
相似海外基金
NSERC CREATE Training Program in 3D Printing Technology and Materials (3DPTM)
NSERC CREATE 3D 打印技术和材料培训计划 (3DPTM)
- 批准号:
565179-2022 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
NSERC CREATE Program on Multi-sensor Systems for Navigation and Mapping - Training for Technology, Applications and Analytics
NSERC CREATE 导航和测绘多传感器系统计划 - 技术、应用和分析培训
- 批准号:
495568-2017 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
NSERC CREATE training program in Persistent, Emerging, and Oil PoLlution in cold marine Environments (PEOPLE CREATE)
NSERC CREATE 寒冷海洋环境中持续性、新兴和石油污染培训计划 (PEOPLE CREATE)
- 批准号:
528169-2019 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
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 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
BRAIN CREATE: Interdisciplinary Training Program for New Neurotechnologies
BRAIN CREATE:新神经技术跨学科培训计划
- 批准号:
528199-2019 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
NSERC CREATE for the Wearable Technology Research and Collaboration (We-TRAC) training program
NSERC CREATE 可穿戴技术研究与合作 (We-TRAC) 培训计划
- 批准号:
511166-2018 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
PRoTECT - Plant Responses To Eliminate Critical Threats: An NSERC-CREATE-DFG-IRTG joint training program to train the next generation of "Plant Doctors"
PROTECT - 消除严重威胁的植物反应:NSERC-CREATE-DFG-IRTG 联合培训计划,旨在培训下一代“植物医生”
- 批准号:
509257-2018 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
NSERC CREATE Training Program in BioActives
NSERC CREATE BioActives 培训计划
- 批准号:
510963-2018 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
NSERC CREATE Training Program for Controlled Release Leaders (ContRoL)
NSERC CREATE 控释领导者培训计划 (ContRoL)
- 批准号:
555324-2021 - 财政年份:2022
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience
NSERC CREATE Training Program in Simulation-Based Engineering Science
NSERC CREATE 基于仿真的工程科学培训计划
- 批准号:
481695-2016 - 财政年份:2021
- 资助金额:
$ 10.79万 - 项目类别:
Collaborative Research and Training Experience