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

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，并使用基于综合算法的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。该平台旨在通过增强动机、最大化治疗依从性、吸引家庭和自然支持以及支持慢性/严重行为健康状况患者的自我保健管理来优化治疗结果。这项拟议中的技术有望使患者接受辅助的、积极的治疗，以保持他们在日常生活中的功能。通过增强患者和临床医生的临床体验，有行为健康状况的个人可以自我监控，并与临床医生交流他们的经历，并实时记录，从而允许行为健康提供者进行监控和评估。本计划将开发并测试一种新的行为健康技术干预，以改善患者的健康状况。能够控制自己的治疗并改善自己的健康状况。该技术有望实现对患者个人和专业护理团队的持续、实时反馈，以监测对治疗进展有利/即将发生的因素的影响，从而不断完善护理计划和干预措施，从而实现最佳结果。该平台包括一个安全的移动和网络平台，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地结合个人支持和使用深度学习的高级相关性是否有助于预测包括危机事件在内的干预措施，改善患者的治疗计划和健康。

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.