Topic 377: Symptom Management and Intervention Roadmaps (STaIRS) (Moonshot)

主题 377：症状管理和干预路线图 (STaIRS)（登月）

• 批准号: 10085605
• 负责人: Carrie Stricker
• 金额: $ 150万
• 依托单位: CAREVIVE SYSTEMS, INC.
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-24 至 2022-01-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10085605
• 关键词: Accident and Emergency department; Algorithms; Assessment tool; Caring; Client; Clinical; Clinical Data; Constipation; Ensure; Evaluation; Fatigue; Fatigue Assessment and Management; Guidelines; Hospitalization; Intervention; Logic; Modeling; Monitor; Morbidity - disease rate; Nursing Societies; Oncology; Oncology Nurse; Patients; Phase; Proliferating; Symptoms; System; Technology; Telephone; Testing; Translating; Triage; cancer care; clinical decision support; commercialization; data integration; design; efficacy testing; evidence base; field study; improved; interoperability; reduce symptoms; symptom management; symptom self management; treatment adherence; usability

Numerous adverse symptoms are under-detected in cancer care resulting1-3 in missed opportunities for intervention; leading to poor treatment adherence, avoidable hospitalizations, and worse morbidity and survival. The IOM proposed shaking up the current symptom paradigm from reactive to proactive, personalized, technology-enabled models of symptom care as a solution to this clinical quality crisis. Such proactive care models reduce symptom burden, emergency department use, and improve survival. While commercially-available symptom monitoring and clinical alerting applications proliferate, they lack personalized, computable algorithms for tailored, evidence-based clinical symptom management. The Carevive Care Planning System (CPS) is an exception, having commercially deployed symptom monitoring and assessment tools, clinician-facing content, and computable algorithms for patient self-management of symptoms since 2014, via a proprietary rules engine. These assets, combined with ONS content and Carevive’s extensive network of expert advisors and clients, will be leveraged in Phase I into the usercentered design of computable algorithms for clinician assessment and management of fatigue and constipation; integrating clinical data to facilitate personalized, evidence-based symptom care superior to existing reactive and proactive symptom care approaches. Phase I wireframes will be the basis for symptom expansion, extensive usability and field testing in Phase II, and ultimately efficacy testing and full-scale commercialization.

在癌症护理中，许多不良症状未被发现，导致1 -3例患者错过了治疗的机会。 干预;导致治疗依从性差，可避免的住院治疗，以及更严重的发病率， 生存国际移民组织提议将目前的症状模式从被动转为主动， 个性化的，技术支持的症状护理模式，作为解决这一临床质量危机。等 积极主动的护理模式减少了症状负担、急诊室使用，并提高了生存率。而 商业上可用的症状监测和临床警报应用激增，但它们缺乏 个性化的、可计算的算法，用于量身定制的、基于证据的临床症状管理。的 Carevive护理计划系统（CPS）是一个例外，已商业部署症状监测 和评估工具，面向临床医生的内容，以及用于患者自我管理的可计算算法， 症状自2014年以来，通过专有的规则引擎。这些资产与ONS内容相结合， Carevive广泛的专家顾问和客户网络，将在第一阶段利用到以用户为中心的 设计用于临床医生评估和管理疲劳的可计算算法， 便秘;整合临床数据，以促进个性化，循证症状护理优于上级 现有的反应性和主动性症状护理方法。第一阶段线框图将是症状的基础 第二阶段的扩展、广泛的可用性和现场测试，以及最终的功效测试和全面测试。 商业化