Automatic Acquisition of Knowledge for Senior Care Planning

描述（由申请人提供）：人们普遍预计，美国老年人口的急剧增长将对美国卫生系统这部分的能力构成挑战。支持独立生活的老年人的替代策略将是填补缺口的关键。我的健康护理经理（MHCM）开发了高级护理导航系统（SCANSTM），为老年护理经理（GCMs）、注册护士和社会工作者提供决策支持，以构建老年人及其护理者的消费者端护理计划。SCANSTM提供干预措施和实用的，现实世界的工具，以延长健康和活跃的生命年，并协助家庭做出关键决定。知识的自动获取将有助于增加MHCM的研究人员，以保持SCANSTM知识库的更新，以提供有效和高效的老年护理计划。这项快速通道SBIR研究的总体目标将是MHCM与印第安纳大学信息学院合作开发一个自动化知识获取系统，该系统将从与老年护理相关的健康文献中获取知识。这些“最佳实践”形式的知识将作为SCANSTM决策支持系统的一部分使用。知识的自动获取将大大提高扫描研究小组的整体生产力。在质量、及时性、广度、深度和研究量方面的改进将是SCANSTM产品的一个有市场的特点。在第一阶段，MHCM将验证自动获取文献知识用于老年护理计划的可行性。MHCM将在第一阶段为老年护理开发知识提取方法，并将实施MHCM定义的40个护理类别中的3个。第二阶段将扩展第一阶段开发的算法，增加30-37个护理类别。MCHM还将开发老年护理干预发现算法，用于发现、更新和评估将被纳入SCANSTM知识库的新知识。MHCM将通过比较目前的手工研究过程和使用文献的自动获取过程来验证和验证知识获取方法的可行性。然后MHCM将利用现有的贝叶斯推理网络模型增强通过文本挖掘发现的知识，使SCANS TM成为一个有效的老年护理决策支持系统。随着第一及第二阶段的完成，SCANSTM的知识获取系统的商业化可在第三阶段进行。

DESCRIPTION (provided by applicant): Dramatic growth of the senior population in the U.S. is widely expected to challenge the capacity of this segment of the U.S. health system. Alternative strategies to support seniors living independently will be critical in meeting the short fall. My Health Care Manager (MHCM) has developed the Senior Care Navigation System (SCANSTM) to provide decision support to Geriatric Care Managers (GCMs), registered nurses and social workers, in the construction of consumer-side care plans for seniors and their caregivers. SCANSTM provides interventions and practical, real-world tools to extend the healthy and active years of life and assist families with critical decisions. Automatic acquisition of knowledge will help to augment MHCM's research staff in order to keep the SCANSTM knowledge base up to date for providing effective and efficient senior care plans. The overall goal for this Fast-Track SBIR research will be for MHCM in collaboration with the Indiana University's School of Informatics to develop an automated knowledge acquisition system that will acquire knowledge from health literature pertinent to senior care. This knowledge in the form of "best practices" will be used as part of the SCANSTM decision support system. The automatic acquisition of knowledge will greatly increase the overall productivity of the SCANS Research Team. The improvements in quality, timeliness, breadth, depth, and volume of research will be a marketable feature of the SCANSTM product. During Phase I, MHCM will validate the feasibility of automatically acquiring knowledge in literature for senior care planning. MHCM will develop knowledge extraction methodologies for geriatric care in Phase I and will implement 3 of 40 MHCM defined care categories. Phase II will expand on the algorithm(s) developed during Phase I to include an additional 30-37 care categories. MCHM will also develop geriatric care intervention discovery algorithms to be used in finding, updating, and evaluating new knowledge to be included in the SCANSTM knowledgebase. MHCM will verify and validate the feasibility of the knowledge acquisition methods by comparing the current manual research process with an automated acquisition process using literature. MHCM will then augment the knowledge discovered through text mining with an existing Bayesian Reasoning Network model to make the SCANS TM an efficient decision support system for geriatric care. With the completion of Phases I and II, commercialization of the knowledge acquisition system for SCANSTM can then proceed in Phase III of the project. PUBLIC HEALTH RELEVANCE: The goal of this Fast-Track research application is to improve the quality, depth and breadth of research reference material held in the Senior Care Navigation System, SCANS, knowledgebase used by our Geriatric Care Managers. The knowledgebase helps our GCM's to prepare comprehensive care plans for elders and their care givers covering 40 care categories. The intent is to expand the knowledge of and coordinate the services available to seniors and their families for improving their quality of life and for extending independent living.