A Dynamic, Data-Driven, Decision Support System for Emergency Medical Services

Mark Gaynor1, Margo Seltzer2, Steve Moulton3, and Jim Freedman1

1Boston University, School of Management, 595 Commonwealth Avenue, Boston
mgaynor@bu.edu
jfreedma@bu.edu

2Harvard University, Division of Engineering and Applied Sciences
margo@eecs.harvard.edu

3Boston University School of Medicine, Boston MA
smoulton@bu.edu

Abstract. In crisis, decisions must be made in human perceptual timeframes under pressure to respond to dynamic uncertain conditions. To be effective management must have access to real time environmental data in a form that can be immediately understood and acted upon. The emerging computing model of Dynamic Data-Driven Application Systems (DDDAS) fits well in crisis situations where rapid decision-making is essential. We explore the value of a DDDAS (iRevive) in support of emergency medical treatment decisions in response to a crisis. This complex multi-layered dynamic environment both feeds and responds to an ever-changing stream of real-time data that enables coordinated decision-making by heterogeneous personnel across a wide geography at the same time. This complex multi-layered dynamic environment both feeds and responds to an ever-changing stream of real-time data that enables coordinated decision-making by heterogeneous personnel across a wide geography at the same time.

LNCS 3515, pp. 703-711.

Last modified: