SBIR-STTR Award

A Therapeutic Machine-Learned Triage Application for Early Detection and Triage of COPD Exacerbations
Award last edited on: 5/26/2022

Sponsored Program
SBIR
Awarding Agency
NSF
Total Award Amount
$986,836
Award Phase
2
Solicitation Topic Code
SH
Principal Investigator
Sumanth Swaminathan

Company Information

E-Thera Inc (AKA: Iterex Therapeutics)

500 7th Avenue
New York, NY 10018
Location: Single
Congr. District: 12
County: New York

Phase I

Contract Number: 1820049
Start Date: 7/15/2018    Completed: 6/30/2019
Phase I year
2018
Phase I Amount
$224,999
The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project is the reduction of significant disease flare-ups in patients with Chronic Obstructive Pulmonary Disease (COPD), increase in patient quality-of-life, and a reduction of expensive and unnecessary healthcare utilization. Current at-home care support for COPD patients is often completely missing or consists of action plans that fail to provide effective, individualized care. The alternative solution under development in this project is an easy-to use, personalized mobile application that catches disease degeneration early, tracks patient health history, and provides decision support to guide patients to the right medical care at the right time. COPD is one of the leading chronic conditions driving potentially avoidable hospital admissions. Pairing a mobile health management app with a smart triage system that provides instant healthcare guidance has the potential to dramatically reduce unnecessary COPD hospitalization and provide long-term maintenance treatment of COPD symptoms. Moreover, an easily accessible, highly accurate, convenient solution can empower patients to make better health decisions early. This STTR Phase I project proposes to demonstrate positive impact and adoption of a mobile triage application for COPD patients. To date, a set of triage algorithms has been built and validated on simulated patient cases. The algorithms exhibited performance that is comparable to or better than a panel of board-certified pulmonologists. The next vital step is to establish the technical feasibility of a packaged, stand-alone mobile application. This research will focus on developing a fully featured prototype that is optimized for adoption, retention, and efficacy. A mix of user feedback and rigorous usage analysis collected through human testing will provide necessary insights on barriers to use, missing functionality, and consumer value. Standardized markers of health safety, symptom escalations, and patient quality-of-life will be used as metrics of product performance. Moreover, all data and conclusions will be subjected to peer review through publication and public presentations. As an additional objective, the accuracy of the algorithmic triage recommendations will be tested on real patient cases to further validate their accuracy and effectiveness. The anticipated result of the phase I procedure is demonstration that the app is safe (objective 1), operationally sound and optimal (phase 2), and valuable to consumers (objective 3).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Phase II

Contract Number: 1950994
Start Date: 4/15/2020    Completed: 3/31/2022
Phase II year
2020
Phase II Amount
$761,837
The broader/commercial impact of SBIR Phase II project aims to reduce significant disease flare-ups in patients with Chronic Obstructive Pulmonary Disease (COPD), increase in-patient quality-of-life, and reduce expensive and unnecessary healthcare utilization. COPD is one of the leading chronic conditions driving potentially avoidable hospital admissions, accounting for an estimated $25 B in 2018 patient care costs. Current at-home care support for COPD patients is often completely missing or consists of action plans that fail to provide effective, individualized care. Integrating health management and a smart triage system offering instant healthcare guidance has the potential to reduce unnecessary COPD hospitalization and provide long-term maintenance treatment of COPD symptoms. The proposed project will develop an easy-to use, personalized triage application that catches disease degeneration early, tracks patient health history, and provides decision support to guide patients appropriately. Moreover, an easily accessible, highly accurate, convenient solution can empower patients to make better health decisions early. This SBIR Phase II project focuses on optimizing and deploying a triage application that provides personalized decision support and therapeutic benefit to patients with COPD. The proposed project will validate this application for a new population and test the integrated system. Specific technical tasks include the expansion of algorithms to include jointly diagnosed COPD-asthma patients, an important population at risk, as well as optimization of configurations for usability and performance. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.