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Subgroup Analytics and Advanced Semantic Technologies to Enable Personalized Medicine

Award Number: R43LM012168
ORGANIZATION: NATIONAL LIBRARY OF MEDICINE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/10/2015
PERIOD OF PERFORMANCE END DATE: 09/09/2016

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Subgroup Analytics and Advanced Semantic Technologies to Enable Personalized Medicine - ¿ DESCRIPTION (provided by applicant): United States healthcare is embroiled in a crisis of inconsistent quality and overwhelming cost. Through two administrations, the national healthcare strategy has focused on using data and technology to control costs and improve care. Congress has enacted legislation to encourage measurement of quality, sharing of data, payment based on quality of care, and transparency within the healthcare system. While these goals are bipartisan and lofty, implementation requires both hard work from health systems and robust technology. Industry has developed technologies that incrementally further the national agenda, including electronic health records, computer assisted coding, and population health analytics. Each of these supports workflow within the healthcare system and improves profit margin for healthcare organizations. But, approaches that go beyond workflow, using data to better understand clinical care, are lacking. With newly available electronic health data and a massive increase in processing power, data-driven personalized medicine is just now becoming possible. It will require advanced semantic technologies to understand clinical care strategies that have been tried in the past, but that have unknown efficacy. It will pose informatics challenges in inferring inclusion criteria, interventions, and outcomes from incomplete and poorly structured data. It will require deep clinical understanding to run real-time pragmatic clinical trials based on real world data to understand complex patients. The goal, dependent on Phase I success, is to create the first commercial system to support healthcare in running real-time pragmatic clinical trials using full clinical data. This will augment the standard of care defined by randomized controlled trials to actually tailor therapy for those complex patients that account for the majority of healthcare spends, but for whom complexity precludes tailored randomized trials.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2017 ( Subtotal = $0 )
2017	2015	VMT, INC.	113 BARKSDALE PROFESSIONAL CTR	NEWARK	DE	19711	NEW CASTLE	USA	Medical Library Assistance	000	1	1/9/2017	NEW	$0
														Subtotal = $0

Issue Date FY: 2015 ( Subtotal = $224,712 )
2015	2015	VMT INC	325 SHARON PARK DRIVE	MENLO PARK	CA	94025	SAN MATEO	USA	Medical Library Assistance	000	1	9/9/2015	NEW	$224,712
														Subtotal = $224,712

Grand Total All Awards = $224,712

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Subgroup Analytics and Advanced Semantic Technologies to Enable Personalized Medicine

Award Number: R43LM012168

ORGANIZATION: NATIONAL LIBRARY OF MEDICINE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/10/2015

PERIOD OF PERFORMANCE END DATE: 09/09/2016

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