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

摘要 ORCATECH协作老龄化(就地)技术研究(CART)计划开发和 验证基础设施，以便利用促进老化的技术快速有效地进行研究 地点(AIP)。CART是一个独特的创新研究机构，它要求学术界的专家领袖 以及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。该购物车团队紧密合作，充分利用现有 相当大的基础设施，成员来自俄勒冈健康与科学大学，英特尔，弗吉尼亚州 (VISN20)、拉什大学、俄勒冈州立大学、宾夕法尼亚大学和Create(中心 迈阿密大学的老龄化和技术进步研究和教育)。因此，我们的 Cart将快速工作，建立在已有系统的基础上，证明该系统具有适应性和可持续的 十多年了。在第1-3年中，我们将应用系统开发生命周期方法和迭代用户- 以设计、技术和基础设施创建为中心。确保可持续使用和生态有效性 对于研究参与者和技术不可知的人来说，数据、设计尽可能不显眼。在……里面 第4年，开发的系统将在一个示范项目中进行评估，该项目将使用原始的AIP假设 CART研究的基础：创建的系统是否提供了持续独立的证据。 我们推出了创新的AIP方法，包括：独特的个人健康和活动记录，结合 具有生态瞬时评估能力的个人健康记录的功能； 用于评估夫妻和照顾者活动的蓝牙信标技术；社区旅行评估 (例如，驾驶)；以及预测未来可持续参与CART研究的评估工具。我们 在来自四个不同年龄段的360名参与者中严格测试AIP假说和这些创新 人口：低收入居民，202区住房；太平洋西北部农村退伍军人；非洲人 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(PRISM研究)。这个 用于Cart多维和分层数据的安全可扩展数据系统将容纳多个， 不断演变的数据本体和模式。CART的数据存储库和通信计划将促进数据 以及不同复杂程度的多个用户的资源共享，确保最广泛的影响和 传播。将对几种可持续发展模型进行评估，以确保更大的CART第二阶段的成功 努力，导致高影响力的研究企业需要为有效的评估创造证据 以及干预措施，以维持不断增长的老龄化人口的健康和独立性。

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.