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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Data quality for situational awareness during mass-casualty events
Barry Demchak1, William G Griswold, Leslie A Lenert
1University of California, San Diego, La Jolla. CA, USA.
Abstract:
Incident Command systems often achieve situational awareness through manual paper-tracking systems. Such systems often produce high latencies and in-complete data, resulting in inefficient and ineffective resource deployment. WIISARD (Wireless Internet Information System for Medical Response in Disasters) collects much more data than a paper-based system, dramatically reducing latency while increasing the kinds and quality of information available to incident commanders. Yet, the introduction of IT into a disaster setting is not problem-free. Notably, system component failures can delay the delivery of data. The type and extent of a failure can have varying effects on the usefulness of information displays. We describe a small, coherent set of customizble information overlays to address this problem, and we discuss reactions to these displays by medical commanders.
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