iDAPT: Implementation and Informatics - Developing Adaptable Processes and Technologies for Cancer Control

项目摘要 研究计划将使用三种策略来告知iDAPT的新兴主题，以使用 支持快速周期和真实的时间部署和测试实施过程和调整， 癌症控制首先，研究计划将推进技术支持实施的科学 通过在实施实验室进行的一系列拟议试点项目，研究癌症控制科学。 二是通过方法提出实施科学技术的方法和措施 试点项目和执行情况研究股的支助。第三，研究计划将确定和 培育新的以癌症为重点的实施科学提案的新想法，这些提案具有很高的潜力， 校外资金，重点是帮助学生，初级教师和代表性不足的人口。 该研究计划将导致两个试点研究与我们的新兴主题技术促进 执行科学。第一项是高度创新的实施试点研究，将解决 生存护理。我们将在10个肿瘤诊所采用阶梯楔形设计， 机制和计算机定制的通信和智能自动化，以促进共同决策 以及临床访视之间的生存护理计划。方法的研究将推动 通过测试使用自动通信模式的可行性， 监测和反馈系统，以促进旨在改善沟通的方案的执行 在临床团队之间以及在临床团队和患者之间。本研究将创建手动注释的 自然语言处理（NLP）的参考标准，训练和验证NLP系统，测试系统 在接受戒烟治疗的患者中，然后构建和测试原型系统来监测 随着时间的推移从安全消息中提取的通信。这两项iDAPT先锋试点研究均由 由初级教员。研究计划将通过一个明确的过程寻求额外的试点研究， 采用经过验证的执行情况评价方法，征求、审查和选择有希望的研究报告 研究建议，共进行8至10项试验研究。研究计划取决于高度的 各核心之间的协作，以确保试点研究的选择反映实验室成员的需求 （行政核心评价股），实验室成员参与并拥有知识和技能， 作为研究过程中的平等伙伴（实施实验室），并且所获得的知识 从试点研究中建立了与iDAPT的新兴相一致的癌症控制实施科学领域 技术促进的实施科学主题（行政核心网络股）。研究 该计划由托马斯休斯顿博士（MPI）领导，他是健康信息学和实施的教授和主任 他是UMMS科学部的一名成员，也是美国医学信息学院的当选院士。

PROJECT SUMMARY The Research Program will use three strategies to inform iDAPT’s emerging theme to use technologies that support rapid cycle and real time deployment and testing of implementation processes and adaptations within cancer control. First, the Research Program will advance the science of technology-supported implementation science in cancer control through a series of proposed pilot projects conducted in the Implementation Lab. Second, it will advance the methods and measurement for implementation science using technology via methods pilot projects and support of the Implementation Studies Unit. Third, the Research Program will identify and nurture nascent ideas for new cancer-focused Implementation Science proposals with high potential for extramural funding, with an emphasis on assisting students, junior faculty, and underrepresented populations. The Research Program will lead with two pilot studies aligned with our emerging theme of technology-facilitated implementation science. The first is a highly innovative implementation pilot study that will address a gap in survivorship care. Using a stepped-wedge design in 10 oncology clinics, we will test an electronic referral mechanism and computer-tailored communication and intelligent automation to facilitate shared decision making and survivorship care planning in-between clinical visits. The methods study will advance the field of implementation science in cancer control by testing the feasibility of using an automated communication pattern monitoring and feedback system to facilitate implementation programs designed to improve communication between clinical teams and between clinical teams and patient. This study will create manually annotated reference standard for natural language processing (NLP), train and validate the NLP system, test the system among patients undergoing smoking cessation treatment, and then build and test a prototype system to monitor communication extracted from secure messages over time. Both of these iDAPT vanguard pilot studies are led by junior faculty. The Research Program will seek additional pilot research through a defined process for soliciting, reviewing and selecting promising studies using a validated approach for evaluating implementation research proposals for a total of 8-10 pilot studies. The Research Program depends upon a high degree of collaboration across the cores to ensure that the selection of pilot studies reflects laboratory member needs (Administrative Core Evaluation Unit), that laboratory members are engaged and have knowledge and skills to serve as equal partners in the research process (Implementation laboratory), and that the knowledge gained from the pilot studies builds the field of implementation science in cancer control aligned with iDAPT’s emerging theme of technology-facilitated implementation science (Administrative Core Network Unit). The Research Program is led by Dr. Thomas Houston (MPI) who is Professor and Chief, Health Informatics and Implementation Science Division at UMMS and is an elected fellow in the American College of Medical Informatics.