PREDICT3: A Model-Based Return on Investment (ROI) Calculator for Simulation-Based Training

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,453.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
N00014-12-M-0102
Award Id:
n/a
Agency Tracking Number:
O112-H19-3127
Solicitation Year:
2011
Solicitation Topic Code:
OSD11-H19
Solicitation Number:
2011.2
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Jeffrey Beaubien
Ind. Organization Psychologist
(781) 496-2480
jbeaubien@aptima.com
Business Contact:
Thomas McKenna
Chief Financial Officer
(781) 496-2443
mckenna@aptima.com
Research Institution:
n/a
Abstract
With the myriad of surgical simulation platforms available, each of which has some empirical data attesting to its effectiveness, it can be difficult to choose which one(s) will produce the best training value. This is not a trivial question, especially when many of these platforms routinely cost $80,000 or more. Aptima, Inc. proposes to design, develop, and commercialize the PREDICT3 Return on Investment (ROI) Calculator. When complete, PREDICT3 will include: sophisticated tools for calculating training ROI; model-based algorithms for relating critical learning elements to learning and patient safety outcomes; and advanced visualization and data reporting tools that will assist in training gap analysis, benchmarking studies, and a host of comparative effectiveness applications. The PREDICT3 models will be fed by data including experimental studies, Subject Matter Expert (SME) ratings, and theoretical models of adult learning that will be collected via a secure, online community of interest (COI) and which will facilitate"win-win"data sharing among critical stakeholder groups, including instructional designers, directors of medical simulation centers, patient safety researchers, professional medical societies, and simulator manufacturers.

* information listed above is at the time of submission.

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