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审核状态: Project audit state: |
通过审核 Successful |
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注册号: Registration number: |
ChiCTR2500112270 |
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最近更新日期: Date of Last Refreshed on: |
2025-11-12 10:01:31 |
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注册时间: Date of Registration: |
2025-11-12 00:00:00 |
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注册号状态: |
预注册 |
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Registration Status: |
Prospective registration |
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注册题目: |
AI辅助老年综合征自助筛查系统的研发 |
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Public title: |
Development of AI-assisted self-screening system for geriatric syndrome |
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注册题目简写: |
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English Acronym: |
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研究课题的正式科学名称: |
AI辅助老年综合征自助筛查系统的研发 |
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Scientific title: |
Development of AI-assisted self-screening system for geriatric syndrome |
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研究课题代号(代码): Study subject ID: |
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在二级注册机构或其它机构的注册号: The registration number of the Partner Registry or other register: |
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申请注册联系人: |
邱丹 |
研究负责人: |
丁福 |
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Applicant: |
Qiu Dan |
Study leader: |
Ding Fu |
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申请注册联系人电话: Applicant telephone: |
+86 18523851917 |
研究负责人电话: Study leader's telephone: |
+86 23 89011876 |
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申请注册联系人传真 : Applicant Fax: |
研究负责人传真: Study leader's fax: |
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申请注册联系人电子邮件: Applicant E-mail: |
376038786@qq.com |
研究负责人电子邮件: Study leader's E-mail: |
734403117@qq.com |
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申请单位网址(自愿提供): Applicant website(voluntary supply): |
研究负责人网址(自愿提供): Study leader's website(voluntary supply): |
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申请注册联系人通讯地址: |
重庆市袁家岗友谊路1号 |
研究负责人通讯地址: |
重庆市袁家岗友谊路1号 |
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Applicant address: |
1st You Yi Road, Yu Zhong District, Chongqing 400016, China |
Study leader's address: |
1st You Yi Road, Yu Zhong District, Chongqing 400016, China |
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申请注册联系人邮政编码: Applicant postcode: |
研究负责人邮政编码: Study leader's postcode: |
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申请人所在单位: |
重庆医科大学附属第一医院 |
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Applicant's institution: |
The First Affiliated Hospital of Chongqing Medical University |
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研究负责人所在单位: |
重庆医科大学附属第一医院 |
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Affiliation of the Leader: |
The First Affiliated Hospital of Chongqing Medical University |
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是否获伦理委员会批准: |
是/Yes |
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Approved by ethic committee: |
Yes |
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伦理委员会批件文号: Approved No. of ethic committee: |
2025年科研伦审(2025-677-01) |
伦理委员会批件附件: Approved file of Ethical Committee: |
查看附件View |
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批准本研究的伦理委员会名称: |
重庆医科大学附属第一医院医学研究伦理审查委员会 |
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Name of the ethic committee: |
Medical Research Ethics Review Committee of the First Affiliated Hospital of Chongqing Medical University |
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伦理委员会批准日期: Date of approved by ethic committee: |
2025-09-22 00:00:00 |
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伦理委员会联系人: |
严青 |
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Contact Name of the ethic committee: |
Yan Qing |
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伦理委员会联系地址: |
重庆市袁家岗友谊路1号 |
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Contact Address of the ethic committee: |
1st You Yi Road, Yu Zhong District, Chongqing 400016, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 23 89011876 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
444158752@qq.com |
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研究实施负责(组长)单位: |
重庆医科大学附属第一医院 |
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Primary sponsor: |
The First Affiliated Hospital of Chongqing Medical University |
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研究实施负责(组长)单位地址: |
重庆市袁家岗友谊路1号 |
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Primary sponsor's address: |
1st You Yi Road, Yu Zhong District, Chongqing 400016, China |
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试验主办单位(项目批准或申办者): Secondary sponsor: |
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经费或物资来源: |
高龄或失能老年的互联网+护理服务研究与应用 |
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Source(s) of funding: |
Special and Key Projects of Chongqing Techonlogy Innovation and Application Development Program |
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Target disease: |
Geriatric Syndrome (GS) is a syndrome of the elderly who have the same clinical presentation or problem due to multiple diseases or multiple causes, with of wide coverage, high morbidity, complex influencing factors, and multi-dimensional hazards. The increasing aging of the population and the continuous superposition of geriatric syndromes continuous challenges to the development of China's geria |
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Target disease code: |
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研究类型: |
观察性研究 |
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Study type: |
Observational study |
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研究所处阶段: |
其它 | ||||||||||||||||||||||
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Study phase: |
N/A |
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研究设计: |
连续入组 |
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Study design: |
Sequential |
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研究目的: |
1.研发一套基于AI辅助的老年综合征自助筛查系统 2.临床验证AI老年综合征自助筛查系统的有效性。 |
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Objectives of Study: |
1. Develop a self-screening system for geriatric syndrome based on AI assistance. 2. Clinically verify the effectiveness of the AI self-creening system for geriatric syndrome. |
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药物成份或治疗方案详述: |
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Description for medicine or protocol of treatment in detail: |
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纳入标准: |
1.年龄≥60岁; 2.文盲、视听障碍的老年人需有照顾者,且照顾者愿意配合研究; 3.本人或长期照护者有一定的理解能力,有识字、阅读能力; 4.本人或长期照护者拥有一部智能手机,且会使用APP或小程序的功能; 5.意识清楚,签署知情同意书。 |
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Inclusion criteria |
1. Age >= 60 years old; 2. Elderly illiterate, visually and hearing impaired need to have caregivers, and caregivers are to cooperate with the study; 3. The subject or long-term caregiver has a certain understanding ability, and has the ability to identify, read; 4. The or long-term caregiver has a smartphone and can use the APP or small program function; 5.Conscious, sign the informed consent. |
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排除标准: |
1.伴有严重心、肝、肾功能不全,疾病重症期、中重度认知障碍;2.生活自理能力重度依赖; |
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Exclusion criteria: |
1. With severe heart, liver, kidney dysfunction, severe illness, moderate to severe cognitive impairment; 2. severe dependence on activities of daily living. |
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研究实施时间: Study execute time: |
从 From 2025-02-20 00:00:00至 To 2027-05-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2025-12-01 00:00:00 至 To 2026-10-31 00:00:00 |
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干预措施: Interventions: |
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研究实施地点: Countries of recruitment and research settings: |
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测量指标: Outcomes: |
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采集人体标本:
Collecting sample(s)
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征募研究对象情况: Recruiting status: |
尚未开始 Not yet recruiting |
年龄范围: Participant age: |
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性别: |
男女均可 |
Gender: |
Both |
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随机方法(请说明由何人用什么方法产生随机序列): |
无 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
None |
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是否公开试验完成后的统计结果: Calculated Results after the Study Completed public access: |
不公开/Private |
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盲法: |
无 |
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Blinding: |
None |
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是否共享原始数据: IPD sharing |
No |
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共享原始数据的方式(说明:请填入公开原始数据日期和方式,如采用网络平台,需填该网络平台名称和网址): |
无 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
none |
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数据采集和管理(说明:数据采集和管理由两部分组成,一为病例记录表(Case Record Form, CRF),二为电子采集和管理系统(Electronic Data Capture, EDC),如ResMan即为一种基于互联网的EDC: |
1.组建核心团队,由硕士研究生导师1名、硕士研究生3名和AI技术主研1名组成核心团队,全程督导系统开发。 2.研究设计和方案制定,定期召开质控会,监控,答疑,分析存在问题,质量改进。专业AI技术团队提供研究技术支持,协助研究数据分析,数据管理等。 3.组建培训团队,由研究生、老年专科护士、信息工程师共同组成培训团队,制定标准化培训课件和系统使用流程图,采用一对多、一对一等方式,培训老年人正确使用系统。 4.系统测试和应用过程中,设置数据隐私保护,采用技术和人工双重监督,确保信息安全。 5.数据分析时,首先进行数据脱敏,然后再分析。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
1. Assemble a core team consisting of one master's thesis supervisor, three master's students, and one senior AI researcher to supervise system development throughout. 2. Conduct research design and scheme formulation, hold regular quality control meetings, monitor, answer questions, analyze existing problems, and improve quality. The professional AI team provides research technical support, assists in research data analysis, data management, etc. 3. Assemble a training team consisting of graduate students, geriatric specialty nurses, information engineers to develop standardized training courseware and system usage flowcharts, and train the elderly to use the system correctly through one-to-many and one-on- methods. 4. During the system testing and application process, set up data privacy protection, adopt technical and manual dual supervision, and ensure information security. 5. During data, first perform data de-identification before analysis. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |