Scientists from Charles River Analytics, developer of intelligent systems solutions, presented at the Medical Health Systems Research Symposium (MHSRS), which took place from August 27-30, 2017, at the Gaylord Palms Resort & Convention Center in Kissimmee, FL. Charles River has presented at the symposium in recent years, highlighting its developments in healthcare support and training.
STAT System
At this year’s symposium, Dr. Peter Weyhrauch presented, “Virtual Patient Simulation with Objective Metrics for Primary and Secondary Trauma Assessment.” Charles River is developing a System for Trauma Assessment Training (STAT) with Professor Frank Ritter of The Pennsylvania State University. STAT is a computer and tablet-based training system that presents a virtual patient in multiple trauma scenarios for efficient and effective learning, rehearsal, and assessment.
A virtual patient presented in STAT’s user interface
MEDIC System
Dr. Bethany Bracken presented “A System to Monitor, Extract, and Decode Indicators of Cognitive Workload (MEDIC) in Realistic, High-motion Environments.” The MEDIC system is designed to help assist military trainers by automatically sensing indicators of cognitive workload to augment performance observations, offering insight into factors underlying that performance.
The MEDIC system
TMT System
Benjamin Bauchwitz presented the Tourniquet Master Training (TMT) system in “Objective Sensor-based Feedback Improves Performance of Skill in Applying Junctional Hemorrhage Control Devices.” TMT is a scenario-based training system that allows trainees to practice using tourniquets such as the Sam Junctional Tourniquet (SJT) or the Abdominal Aortic Junctional Tourniquet™
The Tourniquet Master Training system
MAST Framework
Mr. Bauchwitz also presented “Modeling Junctional Tourniquet Skills from Empirical Data” using Charles River’s Methodology for Annotating Skills Trees (MAST) technology. MAST is a framework to model and evaluate tasks and procedures as part of training environment. Scientists and engineers can incorporate MAST’s capabilities into a common, unified training framework based on skill trees and their annotations.
Learn more about our efforts in Healthcare Support and Training.
