SBIR Phase I: User-Centered System for Improved Coordination across the Continuum of Care

小型企业创新研究(SBIR)第一阶段项目的更广泛影响/商业潜力侧重于使用分析和技术使需要康复护理的患者在出院后完全康复。从急诊(医院)到急诊后(短期康复和熟练护理)环境的护理过渡每年影响数百万美国人。老年人对急性后护理的利用过度，这是自然年龄相关的退化和需要更长恢复期的结果。通过改善整个过程中的医院后护理协调，临床结果和患者满意度将在美国？S老龄化人口中得到改善。如果成功，该项目将有助于降低医疗保健提供者、付款人和政府/社会的医疗成本。拟议的项目旨在整合和改进医疗保健中以用户为中心的数据捕获方法。我们建议的平台将结合先进的机器学习技术和以患者/家庭为中心的商业模式。这项创新将利用多个医疗数据流，例如来自急性和急性后护理环境的电子健康记录和索赔数据。如果成功，这项研究将影响医疗保健分析和结果衡量的最先进水平。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project focuses on using analytics and technology to benefit patients who require recovery care to get fully well after being discharged from the hospital. Transitions of care from acute (hospital) to post-acute (short-term rehabilitation and skilled nursing) settings impact millions of Americans every year. Seniors overindex on utilization of post-acute care, as a consequence of natural age-related degeneration and the need for longer recovery periods. By improving post-hospital coordination of care across the continuum, clinical outcomes and patient satisfaction stand to improve for America?s aging population. If successful, this project will help reduce costs of care for healthcare providers, payers, and government/society.The proposed project aims to incorporate and improve upon methods for user-centered data capture in healthcare. Our proposed platform will combine advanced machine learning techniques with a patient/family-centered business model. The innovation will harness multiple streams of healthcare data, such as electronic health records and claims data from both acute and post-acute care settings. If successful, this research will impact the state-of-the-art in healthcare analytics and outcomes measurement.