SBIR-STTR Award

System for Targeted Estimation of Physiologic States to Facilitate Scamps in Inte
Award last edited on: 9/11/13

Sponsored Program
SBIR
Awarding Agency
NIH : NHLBI
Total Award Amount
$300,292
Award Phase
1
Solicitation Topic Code
-----

Principal Investigator
Dimitar V Baronov

Company Information

Etiometry (AKA: Sterling Point Research LLC)

280 Summer Street 4th Floor
Boston, MA 02210
   (857) 366-9333
   info@etiometry.com
   www.etiometry.com
Location: Single
Congr. District: 08
County: Suffolk

Phase I

Contract Number: 1R43HL117519-01
Start Date: 8/15/13    Completed: 8/14/14
Phase I year
2013
Phase I Amount
$300,292
Sterling Point Research (SPR), in collaboration with Children's Hospital Boston (CHB), is proposing to develop a System for Targeted Estimation of Physiologic States (STEPS) that will enable the use of Standardized Clinical Assessment and Management Plans (SCAMPs) in the Intensive Care Unit. SCAMPs are a methodology for the systematic optimization of treatment protocols, but are incapable with dealing with the often subjective and uncertain clinical information commonly found in critical care environments. The proposed technology will overcome these limitations, and permit the application of SCAMPs to critical care, opening the opportunity to improve outcomes and reduce costs in this dynamic setting. The core of this system is a Physiology Observer that tracks a patient's clinical path and estimates the physiologic state. Through state estimation and uncertainty propagation, patient risk is objectively assessed, offering the consistency needed for methods such as SCAMPs. The Phase 1 effort will establish the feasibility of STEPS to evaluate patient data and objectively assess risk using a demonstrative patient population. The Phase 2 effort will focus on deploying STEPS on an in-house clinical platform and validating the system when integrated into a formal SCAMP.

Public Health Relevance Statement:


Public Health Relevance:
Treatment decisions in critical care often rely on subjective information, evaluated by clinicians. This leads to variation in patient outcomes, driving up the cost of care. In conventional medicine, methods exist to reduce this variation, leading to reduce costs and better care. However, these methods cannot be applied in the Intensive Care Unit due to the subjective information. The proposed technology will overcome this limitation by using advanced estimation techniques to analyze patient data and objectively assess patient risk.

Project Terms:
Area; Automobile Driving; base; Blood Vessels; Boston; Cardiac; Cardiology; care delivery; Caring; Characteristics; Childhood; Classification; Clinical; Clinical assessments; Clinical Data; Clinical Management; Clinical Paths; clinical practice; Clinical Practice Guideline; Clinical Treatment; clinically relevant; Collaborations; Computer software; cost; Critical Care; Data; Data Analyses; Data Collection; Data Element; design; Detection; Environment; Estimation Techniques; Event; Frequencies (time pattern); Goals; Housing; improved; Intensive Care Units; Low Cardiac Output; Lung; Measurement; Medical; Medicine; Methodology; Methods; Modeling; Monitor; Motivation; Nitric Oxide; novel strategies; Outcome; Pathway interactions; patient population; Patients; Pediatric Hospitals; Performance; Phase; physiologic model; Physiological; Physiology; Planning Techniques; Postoperative Period; Probability; Protocols documentation; public health relevance; Research; Resources; Retrospective Studies; Risk; Risk Assessment; sound; Source; Stream; System; Technology; Time; tool; Treatment Cost; Treatment outcome; Treatment Protocols; treatment strategy; Uncertainty; Update; Variant; Vascular constriction (function)

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
----
Phase II Amount
----