Crisis is, unfortunately, the new normal for the world. The climate emergency is producing more severe hurricane and wildfire seasons, as well as increasing temperature extremes, flooding and drought. The COVID19 pandemic is stretching our resources to the maximum. Our societal dependence on technology is itself creating emergencies and disasters and is injecting new vulnerabilities into our way of living.
Technology does also offer the opportunity to help, or maybe transform the way we think about disasters. Specifically, we believe technologies can make our preparation for, mitigation of, response to and recovery from crisis and disaster more efficient, effective, equitable and resilient. For example, large amounts of data could be aggregated to improve situational awareness and target recovery resources more efficiently and effectively; data tools could create a common language from preparation to recovery; or off-grid communications technologies could make response more resilient in infrastructure degraded environments.
We are early in our understanding of how this transformation will occur. The Technology in Disaster Environments Learning Accelerator (TiDE Learning Accelerator, or TLA for short) is a hub for aggregation and sharing of research, learning and insight into technology and disasters. It is hosted at the Crisis Technologies Innovation Lab at Indiana University along with partners Operational Performance Systems, Disaster Tech and Data2Discovery. . We believe it is important to break down silos between academia, practitioners and industry, and to enable cross-fertilization of ideas and learning between disciplines.
The TLA is being built in partnership with the Telemedicine and Advanced Technology Research Center (TATRC) and stakeholders such as FEMA, SCCM, and ASPR. Our initial focus is the National Emergency Tele-Critical Care Network (NETCCN), pioneering ways to deploy technologies that shift from traditional hub-and-spoke models of disaster medical care to an organic “anywhere to anywhere” approach where capabilities, people, knowledge, and expertise are distributed in-person or virtually to the area of need, enabled by insights and best practices.
We are asking questions such as: “How do we know when technology is being used successfully to improve care and when is it not reaching its full potential?” and “What are the key areas of research in how technology is applied?” Through iteratively improved efficiency and effectiveness of patient care in specific environments, disaster situations, and locales, we hope it will be possible to accelerate the transition to a disaster and battlefield medicine environment driven by man-machine teaming using interpretable analytics, artificial intelligence, and machine learning employing reliable measures based on extensive data gathered in the field by performers, related institutions, government, and other agencies. Or in brief, to go “from data to knowledge to performance.”
Please join us, and share your best practices, questions, and insights.