Development of knowledge base for contextualized recommendation engine for the 'Your Doctor Online' telehealth platform
为“您的在线医生”远程医疗平台开发情境化推荐引擎知识库
基本信息
- 批准号:555466-2020
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Applied Research and Development Grants - Level 1
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Founded in 2016 and based in Mississauga ON, HealthATech Solutions Inc. owns and operates a website called yourdoctorsonline.com (or YDO). The platform allows users to access accredited healthcare professionals 24/7 to talk about their health concerns. A typical doctor's session involves parallel text chats, during which the doctor interacts with several users. This model requires the doctor to spend time typing responses while keeping track of each conversation, which has a significant negative impact on productivity. The company identified this as one of the main barriers to YDO's profitability, revenue growth and market adoption.
To overcome this barrier, the company needs a solution that will minimize the time doctors spend typing. More specifically, the company aims to build a Phrase Recommendation (PR) engine to suggest a set of phrases or sentences applicable to the topic and the context of the conversation. The first step in developing such a tool is to build a knowledge-base (or ontology), where the existing YDO data, with over 300,000 conversations on topics ranging from child health to conception and pregnancy, will be clustered and classified (labeled); HealthATech is partnering with Seneca to use AI/Machine Learning techniques with the goal of building a knowledge-base to enable further development of the YDO PR engine.
HealthATech Solutions Inc.成立于2016年,总部位于安大略省密西沙加,拥有并运营着一个名为yourdoctorsonline.com(或YDO)的网站。该平台允许用户全天候访问经过认证的医疗保健专业人员,讨论他们的健康问题。典型的医生会话包括并行文本聊天,在此期间医生与几个用户交互。这种模式要求医生在记录每次谈话的同时花时间输入回复,这对工作效率产生了重大的负面影响。该公司认为这是YDO盈利能力、收入增长和市场采用的主要障碍之一。
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)
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Leaver, Chad其他文献
Unmet healthcare need, gender, and health inequalities in Canada
- DOI:
10.1016/j.healthpol.2008.11.002 - 发表时间:
2009-06-01 - 期刊:
- 影响因子:3.3
- 作者:
Bryant, Toba;Leaver, Chad;Dunn, James - 通讯作者:
Dunn, James
Valuing National Effects of Digital Health Investments: An Applied Method
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10.3233/978-1-61499-488-6-165 - 发表时间:
2015-01-01 - 期刊:
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- 作者:
Hagens, Simon;Zelmer, Jennifer;Leaver, Chad - 通讯作者:
Leaver, Chad
Valuing Citizen Access to Digital Health Services: Applied Value-Based Outcomes in the Canadian Context and Tools for Modernizing Health Systems
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10.2196/12277 - 发表时间:
2019-06-06 - 期刊:
- 影响因子:7.4
- 作者:
Hackett, Christina;Brennen, Kelsey;Leaver, Chad - 通讯作者:
Leaver, Chad
Leaver, Chad的其他文献
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{{ truncateString('Leaver, Chad', 18)}}的其他基金
Recombinant protein production in prokaryotic and eukaryotic heterologous hosts for serological assays for COVID-19
原核和真核异源宿主中的重组蛋白生产用于 COVID-19 血清学检测
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551372-2020 - 财政年份:2020
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$ 1.82万 - 项目类别:
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Development of a universal medical form reader
通用医疗表格阅读器的开发
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Applied Research and Development Grants - Level 1
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促进长文本的文本理解
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558876-2020 - 财政年份:2020
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$ 1.82万 - 项目类别:
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塞内卡生命科学创新中心 (SCILS)
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544347-2019 - 财政年份:2020
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软件辅助长篇文本理解研究
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549520-2019 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
Incremental Video Categorization Using Audio and Video Features
使用音频和视频功能进行增量视频分类
- 批准号:
554151-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 2
Non-organic Solvent Method of Extracting N-Acetyl glucosamine from a fermentation broth
从发酵液中提取N-乙酰氨基葡萄糖的非有机溶剂法
- 批准号:
555617-2020 - 财政年份:2020
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$ 1.82万 - 项目类别:
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Next Generation candidate screening and assessment platform featuring psychological profiling though gamification
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- 批准号:
553875-2020 - 财政年份:2020
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$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
Using TensorFlow for Analysis, Learning and Optimization of Net-Zero Homes Energy Data
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556133-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
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560295-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
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