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

小型企业创新研究(SBIR)第二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出院后需要额外护理以完全康复-或只是维持健康-的患者受益。无论是亚急性还是基于社区的护理，都存在利用机器学习、决策科学和先进的数据挖掘技术来更好地支持患者的重大机会。州和联邦预算涵盖了每年数百万美国人的医疗费用。这一支出的增长速度快于通胀，促使开展可选和强制性支付改革努力，以同时降低成本和改善护理结果。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。拟议的项目旨在纳入和改进医疗保健中以用户为中心的决策科学。拟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、亚急性和社区护理环境的索赔/账单数据。如果成功，这项研究将影响医疗保健分析和结果测量的最先进水平。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project focuses on using analytics and technology to benefit patients who require additional care to fully recover - or simply to maintain their health - after being discharged from the hospital. Whether subacute or community-based care, significant opportunity exists to leverage machine learning, decision science, and advance data mining techniques to better support patients. State and federal budgets cover the costs of care for millions of Americans every year. This expenditure is growing faster than inflation, prompting the development of both optional and mandatory payment reform efforts that stand to simultaneously reduce costs and improve care outcomes. 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 user-centered decision science in healthcare. The 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 claims/billing data from acute, subacute, and community care settings. If successful, this research will impact the state-of-the-art in healthcare analytics and outcomes measurement.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.