劉莉莉教授 老齡化與創新研究項目 (AIRP)
老齡化與創新研究項目 (AIRP) 主頁
當前研究
利用加拿大衛生部授權的移動應用程序 GuardIO 和機器學習技術,描述癡呆症患者的活動模式
通過提升搜救人員、急救人員和社區的能力,降低癡呆症患者走失的風險
過往研究
出版物和演講
知識轉化
國際癡呆症與尋路聯盟
麵向失蹤老年人的社區警報係統在線全國論壇
麵向有走失風險老年人的定位設備
加拿大安全漫步指南
跨文化響應式和無障礙技術促進社會影響 (CCTS)
劉莉莉教授是滑鐵盧大學公共衛生科學學院的教授,同時也是該校健康學院的院長。她主持一項外部資助的研究項目,該項目專注於老年人、他們的照護夥伴以及醫療保健專業人員對技術的接受度和采用情況。
作為一名職業治療師,劉莉莉教授積極參與社區組織以及政策製定者和決策者的工作。國內外的阿爾茨海默病協會、警察部門、搜救隊、癡呆症倡導組織和照護者協會都是她研究項目的合作夥伴。
作為AGE-WELL網絡的研究員,劉莉莉目前的研究項目旨在探索如何利用技術和其他創新手段來降低癡呆症患者走失的風險。她的團隊致力於研究如何為相關政策的製定和實施提供信息,從而創造安全的居住環境,讓老年人能夠盡可能長久地安享晚年。
聯係劉莉莉
以往研究
針對社區中患有癡呆症人士尋路風險的評估與管理技術
阿爾伯塔省應用程序評級指數 (ARIA) 數字版(基於網絡)的接受度和可靠性
旨在降低癡呆症人士迷路風險的策略指南的知識推廣
針對癡呆症失蹤人員快速響應的最佳警務實踐資源評估
針對新冠疫情期間及之後癡呆症人士迷路風險的評估模型
一款功能齊全的移動應用程序,旨在支持為阿爾伯塔省癡呆症患者提供服務的護理人員的工作流程
患有癡呆症且有迷路風險的人士的自主身份數據:如何保護個人數據,使其歸個人所有,並用於保障癡呆症患者的安全,以及為研究和政策提供信息?阿爾伯塔省應用評級指數 (ARIA):移動健康應用質量評級指數(博士論文)
描述與癡呆症相關的遊蕩風險等級的框架(博士論文)
活力心靈 (Vibrant Minds)
用於觀察和測量日常生活活動的智能公寓™ (Smart-Condo™)
社區快速行動 (Community ASAP)
定位技術消費者指南
定位設備項目 (Locator Device Project)
數字敘事與癡呆症:一項多中心研究
公共安全領域中自主身份和數據倫理的評估
如果您希望了解更多關於這些研究的信息,請聯係我們並提出具體要求,同時提供您的聯係方式。
錨點:用於評估和管理社區中患有癡呆症人士尋路風險的技術
資助方:AGE-WELL卓越中心網絡 (NCE)
首席研究員:劉莉莉(滑鐵盧大學)
其他研究員:安東尼奧·米格爾·克魯茲(阿爾伯塔大學)、亞曆克斯·費沃恩(瑞爾森大學)
眾所周知,五分之三的癡呆症患者會走失。其後果可能多種多樣,包括輕微受傷、高昂的搜救費用。如果24小時內無人找到,則極有可能受傷甚至死亡。本係列四項研究旨在探討如何應用相關技術來評估和管理社區中患有癡呆症人士的尋路風險。這些研究如下:
量化因認知功能障礙和癡呆症而導致脆弱老年人走失的風險。(首席研究員:劉莉莉,滑鐵盧大學)
開發並驗證用於定位設備等技術的可用性評估量表。 (首席研究員:阿爾伯塔大學的安東尼奧·米格爾·克魯茲)
製定一項國家指南和建議,旨在統一使用術語,並采用平衡且符合倫理的方法收集數據,以便為資源管理者、政策製定者和公共資助者等利益相關者提供循證決策依據。(首席研究員:滑鐵盧大學的劉莉莉)
研究創新性地使用無人機在社區非城市地區搜尋和營救患有癡呆症且走失的老年人所帶來的益處和挑戰。(首席研究員:瑞爾森大學的亞曆克斯·費沃恩)
研究成果體現在以下五個方麵:
一項可靠且經過驗證的走失風險預測工具。
一款移動應用程序,利用預測的風險等級,為癡呆症患者及其照護者推薦個性化的策略,以降低這些風險。
一個用於評估定位走失人員技術可用性的簡短量表。
一項全國性的老年人走失數據收集協調戰略,旨在為相關項目、產品設計和政策提供信息。
利用無人機係統進行算法指導的搜索,以尋找患有癡呆症的失蹤或走失人員。
Lili Liu
Lili Liu is a
professor in the School of Public Health Sciences, and dean of the Faculty of Health at the University of Waterloo. She maintains an externally funded research program that focuses on acceptance and adoption of technologies by older adults, their care partners, and health care professionals.
As an occupational therapist, Liu engages with community organizations, as well as policy and decision makers. Alzheimer Societies, police services, search and rescue, dementia advocacy and caregiver associations, nationally and internationally, are
partners in her research program.
As an AGE-WELL network investigator, Liu’s current research program examines the applications of technologies and other innovations to mitigate risks of going missing among persons living with dementia. Her team focuses on approaches to inform and implement policies that create safe environments where older adults can reside as long as possible.
Contact Lili Liu
Past research
If you wish to obtain further information about these studies, please contact us with specific requests and provide your contact information.
Technologies for assessment and management of wayfinding risks for persons living with dementia in their communities
Funder: AGE-WELL Networks of Centres of Excellence (NCE)
Principal investigator: Lili Liu (University of Waterloo)
Other investigators: Antonio Miguel Cruz (University of Alberta), Alex Ferworn (Ryerson University)
It is commonly known that three out of five people living with dementia will wander. The consequences can vary and include minor injuries, high search and rescue costs. If not found within 24 hours, there is a high chance of injury or death. The purpose of this series of four studies is to examine the application of technologies for assessment and management of wayfinding risks among persons living with dementia in their communities. These studies are as follows:
- To quantify risks associated with vulnerable older adult getting lost due to impaired cognitive health and dementia. (Principal investigator: Lili Liu, University of Waterloo)
- To develop and validate a usability scale for technologies, specifically, locator devices. (Principal investigator: Antonio Miguel Cruz, University of Alberta)
- To create a national guideline and recommendations, on the consistent use of terminologies, and a balanced, ethical approach to collecting data that can inform stakeholders such as resource managers, policy developers, and public funders on evidence-based decisions. (Principal investigator: Lili Liu, University of Waterloo)
- To examine the benefits and challenges associated with the innovative use of drones in search and rescue of persons living with dementia and who get lost in non-urban spaces in the communities. (Principal investigator: Alex Ferworn, Ryerson University)
Impacts are seen through five products:
- A reliable and validated measure that predicts risks of going missing.
- A mobile app that uses the predicted risk levels to recommend a personalized strategy for people with dementia and their care partners to mitigate these risks.
- A brief scale to assess the usability of technologies used to locate a person who is missing.
- A national coordinated strategy for the collection of data on missing older adults to inform programs, product designs, and policies.
- An algorithm-informed search using unmanned aerial systems for finding missing or lost persons living with dementia.