SCH:INT Collaborative Research: Intelligent Information Sharing: Advancing Teamwork in Complex Care

 描述（由申请人提供）：该提案解决了改善患有癌症和其他复杂疾病的儿童健康结果的重大挑战，对这些儿童来说，门诊护理的有效性取决于不同护理人员群体（包括父母、社区支持和儿科护理人员）之间的协调。提供者。虽然以目标为中心的护理计划被认为是协调护理的关键工具，但此类护理计划尚未有效地整合到儿科护理系统中，并且当前的健康信息技术对其使用提供的支持不足。拟议的信息共享算法基础研究旨在为辅助护理的智能交互系统提供基础 在共同决策的背景下，使用综合护理计划，以改善对患有复杂慢性病的儿童的护理。主要的科学计算目标是开发新的多智能体系统（MAS）算法，该算法能够与人机交互方法相结合，以支持使用综合护理计划，仅用部分信息来推理计划。为了实现这一目标，一个新的表示，相互影响潜力网络，将被开发。初级卫生科学的目的是确定适当的词汇，病人提供者的沟通护理目标，并评估智能信息共享能力，以提高有意义的使用护理计划的潜力。主要的技术目标是开发GoalKeeper，一个支持护理计划使用的系统。该项目是哈佛大学的计算机科学家和斯坦福大学的医生科学家的共同努力，前者带来了团队合作模型、协作人机界面和个人适应性人机交互方面的专业知识，后者带来了健康沟通、健康行为和健康服务方面的专业知识。该项目将通过开发新的MAS表示和算法对计算机科学做出根本性的贡献。它将通过为共同目标的制定提供明确的定义和有效的战略，并通过评估对护理协调的技术支持的潜力，以改善患有癌症和其他复杂慢性病的儿童的健康结果，为健康科学做出贡献。

 DESCRIPTION (provided by applicant): This proposal addresses the major challenge of improving health outcomes for children with cancer and other complex conditions, for whom the effectiveness of outpatient care depends on coordination across a diverse group of caregivers that includes parents, community support and pediatric care providers. While a goal-centered care plan is considered a critical tool for coordinating care, such care plans have not been effectively integrated into the pediatric care system, and current health information technology provides insufficient support for their use. The proposed fundamental research on information-sharing algorithms aims to provide foundations for intelligent interactive systems that assist care teams in using integrated care plans in the context of shared decision-making to improve the care of children with complex chronic conditions. The primary scientific computational aim is to develop new multi-agent systems (MAS) algorithms that are able to reason about plans with only partial information, in conjunction with human-computer interaction methods to support use of integrated care plans. To meet this aim, a new representation, mutual influence potential networks, will be developed. The primary health science aims are to identify appropriate vocabularies for patient-provider communication about care goals and to assess the potential for intelligent information sharing capabilities to improve meaningful use of care plans. The primary technological aim is to develop GoalKeeper, a system for supporting care plan use. The project is a collaborative effort of computer scientists at Harvard University, who bring expertise in teamwork models, collaborative human-computer interfaces and personally adaptive human-computer interaction, and physician scientists at Stanford University, who bring expertise in health-communication, health behavior, and health-services. This project will make fundamental contributions to computer science through the development of novel MAS representations and algorithms. It will contribute to health sciences by providing clear definitions and effective strategies for shared goal setting and by assessing the potential of technological support for care coordination to improve health outcomes for children with cancer and other complex chronic conditions.