SBIR/STTR Research Award

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

Award identifier 22759b92e2a14865e5184d91e3c49b171da0ecef7b148ec32cdb026e085a1d1bAwarding agency National Science Foundation

Award amount

$149,818

Program and phase

SBIR · Phase I

Award year

2014

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Gliimpse LLC
Proposal award date
2014-01-01
Contract end date
2014-06-30
UEI
Not reported
Solicitation number
Not reported
Topic code
BC

Research abstract

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.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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