Don’t Make These Critical Biases in Emergency and Equipment Management
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What are future emergency managers learning in their degree programs? For one, they’re learning what how to synthesize information into intelligence.
The modern emergency manager functions as a hybrid community planner and public relations expert; designing and administering preparedness exercises and scenarios for first responders while simultaneously satiating public concern for disaster readiness. The intersection between planning and community outreach requires synthesizing gathered information into actionable steps. This is where a fixed and mobile asset management software platform is invaluable. Modern emergency managers are relying on technology to leverage asset data to create disaster preparedness plans before, during and after an emergency. Total asset visibility provides the answers to questions like: how many generators does public works have? Is a certain county’s fire department lacking necessary equipment and can that equipment be reassigned from a neighboring county?
Leveraging fixed and mobile asset data to create total asset visibility converts information into actionable intelligence. Again, intelligence comes from synthesizing that information into choices – determining the impact of one course of action over another. Disaster academia is serving to teach future emergency managers to think holistically in terms of scenarios, such as resource coordination.
Disaster academia is also teaching future emergency managers what not to do.
In the most fundamental sense, emergency managers ensure that analyzed intelligence is as accurate and unbiased as it can be. Biased emergency managers come in many shapes: the former responder who is more tactical than strategic or the former military leader who brazenly knows what should be done better than anyone else. Emergency managers who obtain certifications, bachelors or masters degrees from a higher-education program are taught to think objectively about disaster preparedness. This holistic approach, which encompasses the viewpoints of all stakeholders, effectively removes biases