SBIR Phase I: Autonomous Integration of EMR Information for Patient-Centric Open API Access

这个小型企业创新研究(SBIR)第一阶段项目建议开发一个工具，用于自主捕获、翻译电子医疗记录中的专有临床信息，并将其集成到标准的公共格式中。该项目涉及正在进行的医疗法规，如PPACA，这些法规要求医生通过电子手段向患者提供医疗数据，并有效地与其他提供者共享。由于现有电子病历系统的性质，数据共享是困难和不受鼓励的。。此外，还将提供开放式应用编程接口，以允许授权的第三方访问此类数据。研究重点将放在数据捕获、解析和机器学习技术上，以确保准确性和性能。预计将评估多种方法，并在原型系统中实现至少一种方法。该项目更广泛的影响/商业潜力将增强患者控制自己的医疗数据、其共享、谁有权访问以及医院和研究机构对正在进行的医学研究进行分析的能力。通过将患者S数据的控制权交到患者手中，他们可以选择将任何或所有医疗数据保留或共享给任何提供商，或用于研究目的。从多个来源快速提取和整合数据，并提供开放的API，将使医疗数据脱离供应商的控制，没有任何经济诱因来确保数据共享。通过允许单个平台进行集成、询问和共享，可以在API的基础上构建研究和其他软件平台，以增强医学研究、患者意识和医生对所有数据源(包括医院、其他医生、第三方应用程序)的意识，以及对量化自我的日益增长的使用。测量设备。预计提供商的使用效率将显著提高，定制编码的EMR解决方案的支出将减少，从而消除对数百万美元咨询的需求，并通过有效利用医生时间和提供相关信息来改善患者护理。

This Small Business Innovation Research (SBIR) Phase I project proposes to develop a tool for autonomous capture, translation, and integration of proprietary clinical information from Electronic Medical records into a standard public format. The project addresses ongoing healthcare regulations such as the PPACA which require doctors to provide patient access to medical data through electronic means, as well as efficiently share with other providers. Due to the nature of existing Electronic Medical Record systems, data sharing is difficult and discouraged. . Further an Open API will be provided to allow authorized third parties to access such data. Research will focus on data capture, parsing, and machine learning techniques to ensure accuracy and performance. It is expected that multiple methods will be evaluated and at least one method will be implemented in a prototype system. The broader impact/commercial potential of this project will enhance the capability of patients to control their own medical data, its sharing, who has access, and analysis by hospitals and research institutions for ongoing medical research. By placing control of the patient?s data in the hands of the patient, they can choose to keep or share any or all medical data to any provider, or for research purposes. The rapid extraction and integration of data from multiple sources and provision of an open API will remove medical data from the control of vendors with no economic incentive to ensure data sharing. By allowing a single platform for integration, interrogation, and sharing, research and other software platforms can be built on top of the API to enhance medical research, patient awareness, and physician awareness of all data sources, including hospitals, other doctors, third party applications, and the growing use of ?Quantified Self? measurement devices. Significant increases in efficiency for provider use and reduced expenditures on custom coded EMR solutions are anticipated, eliminating the requirement for millions of dollars of consulting, and improved patient care through efficient use of doctor time and provision of relevant information.