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Extensible Field and Evacuation Care Training in a Virtual Environment (EFECTIVE)

Award Information
Agency: Department of Defense
Branch: Defense Health Program
Contract: W81XWH19C0044
Agency Tracking Number: H2-0405
Amount: $999,966.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: DHA173-001
Solicitation Number: 2017.3
Timeline
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-02-07
Award End Date (Contract End Date): 2021-07-06
Small Business Information
625 Mount Auburn Street, Cambridge, MA, 02138
DUNS: 115243701
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mr. Benjamin Bauchwitz
 (617) 491-3474
 bbauchwitz@cra.com
Business Contact
 Mr. Mark Felix
Phone: (617) 491-3474
Email: contracts@cra.com
Research Institution
N/A
Abstract
The DoD is preparing for future Contested Degraded Operations (CDO) environments where it will not be possible to sustain the current levels of medical care across the chain of care. Enemy activity and lack of resources may limit the availability of front line medical personnel, safe spaces to administer care, medical supplies, and time, denying physical access to evacuate patients and deliver medical treatment. The DoD does not yet have a training program that sufficiently addresses the unique challenges of preparing medical providers to deliver care in CDO environments, including prolonged field care and en route care. To meet these needs, we propose to develop Extensible Field and Evacuation Care Training in a Virtual Environment (EFECTIVE). EFECTIVE is a screen-based simulator for training, practicing, and assessing the skills for providing point of injury and en route care in CDO environments. EFECTIVE can be deployed to desktop computers and tablets, and presents a virtual environment with virtual patients and an interactive toolkit that trainees can use to perform interventions and manage medical care logistics. EFECTIVE interfaces with external tools such as learning management systems, predictive algorithms, and new interface modalities, and allows instructors to create new training content.

* Information listed above is at the time of submission. *

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