SBIR Phase I: Comprehensive Online Platform to Enhance Care Coordination and Improve Behavioral Health Outcomes

SBIR 第一阶段：加强护理协调和改善行为健康结果的综合在线平台

• 批准号: 1747845
• 负责人: Anupam Khandelwal
• 金额: $ 22.5万
• 依托单位: SageSurfer Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747845&HistoricalAwards=false
• 关键词: SBIR; Phase; Comprehensive; Online; Platform

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to increase treatment options and to improve health outcomes for patients using a comprehensive algorithm-based behavior health intervention. It can address Institute of Health Improvement's Triple AIM to improve population health, improve patients' experience of care, and reduce per capita healthcare cost. The proposed platform is aimed at optimizing treatment outcomes by enhancing motivations, maximizing treatment adherence, engaging families and natural supports, and supporting self-care management for individuals with chronic/serious behavioral health conditions. The proposed technology is expected to enable patients to receive an ancillary, active treatment that keeps them functioning in daily life. By enhancing the clinical experience for patients and clinicians, individuals with behavioral health conditions can self-monitor and communicate their experiences to their clinician and record them in real time, allowing monitoring and assessment by the behavioral health provider. The proposed project will develop and test a novel behavior health technology intervention on improving patients? ability to feel in control of their treatment and improve their well-being. The technology is expected to enable ongoing, real-time feedback to the both the patient's personal and professional care team to monitor the impact of enabling/impending factors on treatment progress to continually refine the care plan and interventions so that optimal results can be achieved. The platform consists of a secure mobile and web platform used to provide proactive interventions, advanced algorithms used to personalize care and provide insights to the behavioral health provider. The team plans to assess whether the combination of personal support effectively in the patients' care together with advanced correlations using deep learning can help in predicting interventions including crisis episode, improve patient's treatment planning and wellness.

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是增加治疗选择，并使用基于算法的综合行为健康干预来改善患者的健康结果。它可以解决健康改善研究所的三重目标，以改善人口健康，改善患者的护理体验，并降低人均医疗保健成本。拟议的平台旨在通过增强动机，最大限度地提高治疗依从性，吸引家庭和自然支持，以及支持慢性/严重行为健康状况个人的自我护理管理来优化治疗结果。这项拟议中的技术预计将使患者能够接受辅助性的积极治疗，使他们在日常生活中保持功能。通过增强患者和临床医生的临床体验，具有行为健康状况的个体可以自我监测并将他们的体验传达给他们的临床医生，并真实的记录他们，从而允许行为健康提供者进行监测和评估。 拟议的项目将开发和测试一种新的行为健康技术干预，以改善患者？有能力控制他们的治疗并改善他们的福祉。 预计该技术将能够向患者的个人和专业护理团队提供持续的实时反馈，以监测启用/即将发生的因素对治疗进展的影响，从而不断完善护理计划和干预措施，从而实现最佳结果。该平台由一个安全的移动的和网络平台组成，用于提供主动干预，先进的算法用于个性化护理，并为行为健康提供者提供见解。该团队计划评估在患者护理中有效的个人支持与使用深度学习的高级相关性的结合是否有助于预测干预措施，包括危机事件，改善患者的治疗计划和健康。