During a successful Phase 1 effort, Etiometry and Boston Children's Hospital developed a novel Risk Monitoring System (RMS) to assist with the postoperative care of a vulnerable and clinically challenging neonatal population: infants with surgery for congenital heart defects. The system comprehensively integrates multiple physiologic signals to extract and deliver in real time actionable information about a patient's physiologic state, and thus support effective and timely interventions. The Phase 2 effort will deploy and integrate the system into the clinical workflow at Boston Children's Hospital, Children's National Medical Center in Washington D.C., The Hospital for Sick Children (Toronto), and St. Louis Children's Hospital, and evaluate its impact on process of care and patient outcomes. In addition, Etiometry will collaborate with Children's Hospital of Philadelphia (CHOP) Center for Simulation, Advanced Education and Innovation to test the safety, efficacy, usability, and performance characteristics of the system's User Experience (UX) and will refine it to optimize its clinical utility. The ultimate objective of the proposed SBIR effort will be demonstrate that the RMS can significantly affect the quality and cost of care of neonates post-surgery for congenital heart defect.

Public Health Relevance

Improving the care for newborns that have had surgery for correction of a heart defect has the potential not only to save lives and reduce the $1.4B cost of hospital care in their first year, but also to affect their quality of life and societal impact as hey grow into adulthood. Etiometry Risk Monitoring System will afford clinicians the ability to detect clinical risks sooner in the critical care of these babies, leading to more timely intervention and better outcomes.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
5R44HL117340-04
Application #
9031799
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Evans, Frank
Project Start
2012-07-13
Project End
2017-03-31
Budget Start
2016-04-01
Budget End
2017-03-31
Support Year
4
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Etiometry, LLC
Department
Type
DUNS #
961840241
City
Boston
State
MA
Country
United States
Zip Code
Baronov, Dimitar; McManus, Michael; Butler, Evan et al. (2015) Next generation patient monitor powered by in-silico physiology. Conf Proc IEEE Eng Med Biol Soc 2015:4447-53