ORCATECH Collaborative Aging (in Place) Research Using Technology (CART)

总结 ORCATECH协作老化（就地）研究使用技术（CART）计划开发和 验证了利用技术快速有效地进行研究的基础设施，以促进老龄化， 地点（AiP）。CART是一个独特的和创新的研究组织， 在多个领域拥有广泛经验的行业：老年学，临床医学，医疗保健， 心理学，用户交互，系统科学，工程学，计算机科学，技术，数据科学， 商业发展、道德和公共政策。这个CART团队密切合作，利用现有的 相当大的基础设施，成员来自弗吉尼亚州英特尔俄勒冈州健康与科学大学的ORCATECH （VISN 20）、拉什大学、俄勒冈州州立大学、宾夕法尼亚大学和CREATE（ 研究和教育老龄化和技术增强）在迈阿密大学。结果我们的 CART将迅速工作，建立在一个已经证明适应性和可持续性的现有系统基础上， 超过十年。在第1-3年，我们将应用系统开发生命周期方法，迭代用户- 以设计、技术和基础设施建设为中心。确保可持续使用和生态有效性 数据，设计是尽可能不引人注目的研究参与者，以及技术不可知论。在 第4年，开发的系统将在一个示范项目中进行评估，该项目具有原始的AiP假设 CART研究的基础：所创建的系统是否为持续的独立性提供了证据。 我们引入创新的AiP方法，包括：独特的个人健康和活动记录， 具有生态瞬时评估能力的个人健康记录的功能; 蓝牙信标技术，用于评估夫妇和照顾者的活动;社区旅行评估 (e.g.,驾驶）;和一个评估工具，以预测可持续参与未来的CART研究。我们 严格测试AiP假设和这些创新的360名参与者从四个不同的高级 人口：居民在低收入，部分202住房;退伍军人在农村太平洋西北;非洲 美国人和其他少数民族在芝加哥（少数民族老龄化研究）和迈阿密（棱镜研究）。的 CART的多维和分层数据的安全可扩展数据系统将容纳多个， 不断发展的数据本体和模式。CART的数据存储库和通信计划将促进数据 不同复杂程度的多个用户的资源共享，确保最广泛的影响， 传播。将对几种可持续性模式进行评估，以确保更大规模的CART第二阶段取得成功 努力，导致高影响力的研究企业需要创造有效评估的证据 和干预措施，以维持日益老龄化人口的健康和独立。

Summary The ORCATECH Collaborative Aging (in Place) Research Using Technology (CART) program develops and validates an infrastructure for rapid and effective conduct of research utilizing technology to facilitate aging in place (AiP). CART is a unique and innovative research organization to enjoin expert leaders from academia and industry with broad-based experience across multiple fields: gerontology, clinical medicine, health care, psychology, user interaction, systems science, engineering, computer science, technology, data science, business development, ethics and public policy. This CART team works closely together to leverage existing considerable infrastructure, with members from ORCATECH at Oregon Health & Science University, Intel, VA (VISN20), Rush University, Oregon State University, University of Pennsylvania and CREATE (Center for Research and Education on Aging and Technology Enhancement) at University of Miami. As a result, our CART will work rapidly, building on an already-existing system demonstrated as adaptable and sustainable for over a decade. In years 1-3 we will apply a systems development life cycle approach with iterative user- centered design and technology and infrastructure creation. To ensure sustained use and ecological validity of the data, the design is as unobtrusive as possible for research participants, as well as technology agnostic. In year 4 the developed system will be assessed in a Demonstration Project with an original AiP hypothesis fundamental to CART research: whether the system created provides evidence for sustained independence. We introduce innovative AiP methods including: a unique Personal Health and Activity Record, combining functionality of a personal health record with ecological momentary assessment capacity; novel use of Bluetooth beacon technology to assess activity of couples and caregivers; assessment of community travel (e.g., driving); and an assessment tool to predict sustainable engagement in future CART research. We rigorously test the AiP hypothesis and these innovations in 360 participants from four diverse senior populations: residents in low income, section 202 housing; veterans in the rural Pacific Northwest; African Americans and other minorities in Chicago (Minority Aging Research Study) and Miami (PRISM study). The secure extensible data system for CART's multidimensional and hierarchical data will accommodate multiple, evolving data ontologies and schema. CART's Data Repository and communications plan will facilitate data and resource sharing of multiple users of different levels of sophistication ensuring the widest impact and dissemination. Several sustainability models will be evaluated to ensure the success of a larger CART phase II effort, resulting in the high-impact research enterprise needed to create evidence for effective assessments and interventions to sustain health and independence for the growing aging population.