Sterling Point Research, in collaboration with Children's Hospital Boston, is proposing to develop a Risk Assessment Tool for Hemodynamic Monitoring (RAHM) of post-operative infants with congenital heart disease. At its core a physiology observer utilizes multiple measurements to estimate a patient's physiologic state, while computing the uncertainty of the estimation. This information is then translated to a risk profile which informs clinicians of potential complications that may require a change in treatment. Consequently, RAHM will help physicians better understand the tradeoffs between invasive and noninvasive modes of measurement. This system will minimize the use of invasive physiologic measurements, thus reducing morbidity and mortality while concomitantly reducing length of stay in the cardiac intensive care unit (CICU). In the Phase 1 effort, SPR will focus on constructing the observer and verifying its utility through retrospective human studies. In Phase 2, RAHM will be refined using additional patient data, and implemented on Children's Hospital Boston's Cardiac Intensive Care Unit as a stage for preliminary clinical trials.

Public Health Relevance

The risk assessment tool for hemodynamic monitoring (RAHM) will enable improved monitoring of neonates and infants after cardiac surgeries, thus allowing clinicians to safely avoid using invasive catheters. The resulting lower risk of complications will ultimately lead to faster recovery and reduction in intensive care costs.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43HL117340-01
Application #
8334832
Study Section
Special Emphasis Panel (ZRG1-SBIB-V (90))
Program Officer
Kaltman, Jonathan R
Project Start
2012-07-13
Project End
2014-06-30
Budget Start
2012-07-13
Budget End
2013-06-30
Support Year
1
Fiscal Year
2012
Total Cost
$248,644
Indirect Cost
Name
Etiometry, LLC
Department
Type
DUNS #
961840241
City
Boston
State
MA
Country
United States
Zip Code
02134
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