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

该小型企业创新研究（SBIR）第一阶段项目旨在开发一种工具，用于自动捕获、翻译和集成电子病历中的专有临床信息，并将其转换为标准的公共格式。该项目解决了正在进行的医疗保健法规，如PPACA，要求医生通过电子方式向患者提供医疗数据，并与其他提供商有效共享。由于现有的电子病历系统的性质，数据共享是困难和不鼓励的。.此外，还将提供开放式API，以允许授权的第三方访问此类数据。研究将侧重于数据捕获，解析和机器学习技术，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/商业潜力将提高患者控制自己的医疗数据的能力，其共享，谁可以访问，以及医院和研究机构为正在进行的医学研究进行分析。通过控制病人？如果患者的数据掌握在患者手中，他们可以选择保留或共享任何或所有医疗数据给任何提供者，或用于研究目的。快速提取和整合来自多个来源的数据以及提供开放的API将使医疗数据脱离供应商的控制，而没有经济激励来确保数据共享。通过允许用于集成、询问和共享的单个平台，可以在API之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的意识，包括医院、其他医生、第三方应用程序以及越来越多的使用？量化自我？测量装置 预计供应商使用效率将显著提高，定制编码EMR解决方案的支出将减少，从而消除数百万美元的咨询需求，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.