STTR Phase I: Accelerating the dissemination of healthcare interventions that improve care for high-need/high-cost patients

该小企业技术转让（STTR）第一阶段项目的更广泛影响/商业潜力包括：通过使高需求/高成本患者的信息可立即获取并为医疗保健提供者个性化定制，加快医疗保健改善的步伐;将健康干预数据库转变为有关照顾高需求/高成本患者的积极而动态的学习社区;减轻安全网提供者的负担，他们需要对数十个信息来源进行分类和筛选，以便为高需求/高成本的患者提供护理。健康信息网络工具（HINT）将是一个独特的定制算法组合，将填补关键的知识空白，特别是在健康差距、健康的社会决定因素和服务不足的情况方面;增加安全网提供者与同行联系的机会，以参与合作解决问题;减少安全网医疗保健组织之间重复和重复的错误和失败的干预措施;提高公众对开发有前途的干预措施的安全网机构的认可;并使机器学习的技术进步能够为高需求/高成本患者提供护理模式。HINT的商业影响包括：降低向高需求/高成本人群提供的护理的成本并提高其质量;为安全网机构和提供者创造机会，以推销其在护理复杂、得不到充分服务的病人方面的专门知识。HINT将通过带来前所未有的资源来传播大量和不断变化的医疗保健信息，从而加速创新;拟议的信息网络将减少目前发生的信息碎片化和重复错误和失败干预;最后，释放和传播来自同行的创新和建议-在类似的机构和照顾类似的病人-将加速成功的实践，以改善高需求/高成本患者的健康。HINT建议开发独特的爬行，聚类，文本挖掘，协同过滤，二分匹配和排名算法。该团队将把这六种算法整合到一个定制的社交内容管理系统中，并解决设计和功能方面的挑战。

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase 1 project includes: accelerating the pace of healthcare improvement by making information on high-need/high-cost patients instantly accessible and individually tailored to health care providers; transforming health intervention databases into active and dynamic learning communities about caring for high-need/high-cost patients; reducing the burden on safety net providers to sort and sift through dozens of information sources about delivering care to high-need/high-cost patients. Health Information Networking Tool (HINT) will be a unique combination of customized algorithms that will fill in critical gaps in knowledge, especially around health disparities, the social determinants of health and underserved conditions; boost opportunities for safety net providers to connect with peers to engage in collaborative problem-solving; reduce duplication and repetition of errors and failed interventions across safety net healthcare organizations; increase public recognition for safety net institutions that develop promising interventions; and enable technical advancements in machine learning to suggest models of care for high-need/high-cost patients. The commercial impact for HINT includes: reducing the cost and improving the quality of care delivered to high-need/high cost populations; and creating opportunities for safety net institutions and providers to market their expertise on caring for complex, underserved patients.The proposed project was conceived on the belief that ingenious solutions in caring for society's most vulnerable populations occur daily across the safety net health system; that HINT will accelerate innovation by bringing an unprecedented resource to disseminate voluminous and constantly changing healthcare information; that the proposed information network will reduce the fragmentation of information and duplication in errors and failed interventions that currently occur; and finally that unlocking and disseminating innovations and advice from peers - in similar institutions and caring for similar patients - will accelerate successful practices to improve the health of high-need/high-cost patients. HINT proposes to develop unique crawling, clustering, text mining, collaborative filtering, bipartite matching, and ranking algorithms. The team will integrate the six algorithms into a customized social content management system, and address challenges around design and functionality.