SBIR-STTR Award

This Small Business Innovation Research (SBIR) Phase I project will focus on the enablement of comparative effectiveness research (CER) and evidence based medicine (EBM) by health care researchers utilizing both clinical and biomolecular data. The quality of health care can be significantly improved through the secondary use of health care data from electronic medical records systems (EMR) and also through the use of genomic biomarkers. Today, the current process of health care research using retrospective data from EMR requires a team of IT professionals and is very error prone. Further, these systems do not readily utilize the information that is available from genomic and genetic screens. The two goals of this project are: 1) to create a self-service, highly efficient query tool for health care data that can be utilized by clinical researchers and 2) to create a data mart that integrates EMR data with molecular data using a knowledge engine that brings context to biomarker data. The ultimate deliverable will be a system enables the entire life cycle of personalized medicine (PM); retrospective analysis, validation and report generation that directly impacts the care of the individual patient. The broader impact/commercial potential of this project is significant because it capitalizes on two trends in health care - digitizing patient clinical data and the increased use of sequencing and microarray technology - in order to provide Personalized Medicine. The commercialization of the technical innovations referenced in this project will enable researchers and clinicians to generate EBM, CER and PM reports with the ultimate objective of improving patient outcomes. Leveraging historical patient data in CER to eliminate ineffective therapies from the health care system in general coupled with utilizing genetic information to create a more personalized model of health care will focus precious health care dollars on effective therapies optimized for the individual. Ultimately, this tool will be appealing to every segment of the health care industry including clinicians, researchers, pharmaceutical companies, and insurance companies due to the increases in quality and cost savings that will be created. True Personalized Medicine will have arrived

This Small Business Innovation Research (SBIR) Phase II project will focus on the enablement of comparative effectiveness research (CER), evidence based medicine (EBM), and personalized medicine (PM) by researchers utilizing both clinical and complex biomolecular data. The first phase of this grant was focused on a feasibility study working with customers to determine the extent to which the tools we were creating would and could be utilized in practice. This phase is focused on implementation of these tools in real-world health care environments and creating systemic improvements of healthcare by improving tools available for self-evaluation by hospital administrators and clinicians alike. There will be four key objectives accomplished as a result of this proposal. The first is the development of care-improvement algorithms for pediatric ICU patients with sepsis and congenital heart disease. The second will be a reporting engine that mines electronic medical records to create CER reports for patients. The third is an easy-to-use enterprise level reporting engine to check compliance with national standard health care quality metrics and to create new metrics for care improvement. The final objective is to create a personalized medicine reporting system based on next generation sequencing data. The broader impact/commercial potential of this project is significant because it capitalizes on two trends in health care - digitizing patient clinical data and the increasing use of molecular sequencing and microarray data. The commercialization of the technical innovations referenced in this project will enable researchers and clinicians to generate true Comparative Effectiveness Research (CER), Evidence-based precision medicine (EMB) and Personalized Medicine reports (PMR). The ultimate objective of this technology is improving patient outcomes. Leveraging historical patient data in CER to eliminate ineffective therapies from the health care system, coupled with utilizing genetic information to create a more personalized model of health care, will focus precious health care dollars on effective therapies optimized for the individual. Ultimately, this tool will be appealing to every segment of the health care industry including clinicians, researchers, pharmaceutical companies, and insurance companies due to the increases in quality and cost savings that will be created