Presented at: Conférence Journées Québécoises de la Recherche en Santé Respiratoire (JQRSR) 2021, Montreal, Canada.
Publisher: Quebec Respiratory Health Research Network.
Type: Conference Abstract (Provincial).
Abstract Number: 7.
Full Abstract
Introduction: The rise of Artificial Intelligence in healthcare has led to envision system development for any disaster. Our innovation's goal was to develop an electronic casualty card (ECC) for supporting eventual mass casualty management.
Methods: Following a literature review and the creating of a paper version, a ECC was programmed in python with a flask framework as well as html, js, css. Two versions have been made (MongoDB and Mysql; the latter being used to connect to a drone technology and a mobile laboratory). A dashboard drives synchronously and automatically the content (i.e.: Secure Login; Actual date/time; Casualty numbers; Group Summary and Specific patient's card; Patient's clinical data; New Entries). ECC was tested on two levels. First, it was a database simulating real patient's data (Respiratory Rate, Systolic & Diastolic Pressures, Heart Rate, SpO2, O2 Flow delivery according to a SpO2 target set at 96%; Temperature, Neurological status (Glasgow coma and AVPU scales (Alert-Verbal-Pain-Unresponsiveness)). The second was a hypoxemic condition to run synchronously the monitoring-scoring-treatment nexus.
Results: The ECC was tested 250 times with the 5400 simulated clinical data. The ECC's dashboard was able to populate patients' cards according to the number of casualties. At each time a data was entered in the nexus (monitoring-scoring-treatment), it was run synchronously and successfully. The thresholds, data recording and displaying, worked properly.
Discussion: Overall this study showed that the ECC system captured data and delivered a score in real time. Further developments are needed to incorporate the ECC in the mass casualty management including identification of the patient and data transfer through a virtual encrypted network.
Acknowledgements: We thanks Sally Al-Omar for her outstanding informatic support and MEDINT CBRNE Group for its entrepreneurship initiatives provided for free (use of resources).
Citation (APA)
Bourassa, S., Elkhayaty, S., Leclerc, J., & Jouvet, P. (2021). An electronic casualty card as a clinical management tool for any disaster situation – here is a start for pioneering the Vimy Multi-System [Abstract]. Conférence Journées Québécoises de la Recherche en Santé Respiratoire, Montreal, Canada. Quebec Respiratory Health Research Network.