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American Red Cross Digital Operations Center (DigiDOC): An Essential Emergency Management Tool for the Digital Age

Published online by Cambridge University Press:  14 November 2014

David Markenson*
Affiliation:
American Red Cross, Washington, DC the Sky Ridge Medical Center, Lone Tree, Colorado, and Center for Disaster Medicine, New York Medical College, Valhalla, New York.
Laura Howe
Affiliation:
American Red Cross, Washington, DC
*
Correspondence and reprint requests to David Markenson, Sky Ridge Medical Center, 10101 Ridge Gate Parkway, Lone Tree, CO 80124 (E-mail: docmarkenson@gmail.com).
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Abstract

Social media is becoming the first source of information and also the first way to communicate messages. Because social media users will take action based on the information they are seeing, it is important that organizations like the Red Cross be active in the social space. We describe the American Red Cross’s concept for a Digital Operations Center (DigiDOC) that we believe should become an essential part of all emergency operations centers and a key piece of all agencies that operate in disasters. The American Red Cross approach is a practical and logical approach that other agencies can use as a model.(Disaster Med Public Health Preparedness. 2014;8:445-451)

Information

Type
Concepts in Disaster Medicine
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2014 
Figure 0

Figure 1 Heat Map. The heat map screen shows where people have posted from in the last 3 days. As the volume of posts goes up for a certain area, the color changes and becomes “hotter.” Red means highest volume. This volume alone serves as a trigger for attention. A random selection of recent tweets pops up across the map and helps us watch for potential breaking information even if the volume of tweets is not yet large.

Figure 1

Figure 2 Community Screen. The community screen shows tweets about a chosen topic profile and helps us understand who is talking about a particular subject. The screen displays a random selection by using a computer randomization scheme to allow distribution across tweets from the last 4 hours. The bigger the profile image on the screen, the more influence the person has. Influence is measured by the size of the person’s following and also by how often they have talked about this subject.

Figure 2

Figure 3 Universe Screen. The universe screen displays several topic profiles in a sun-and-planet format and shows results from the last 3 days. The “sun” is the primary subject of each topic profile. The “planets” are different groups of key words within that broader subject. For example, the American Red Cross topic profile is broken down by line of business. The relative size of the circles gives an idea of which key words are pulling in more posts. When the system is pulling in new posts, an animation appears with little dots flying into the planets. The circles glow green, red, or tan depending on whether the posts from the last 3 days have been more positive, negative, or neutral about the Red Cross.

Figure 3

Figure 4 Conversation Dashboard. The conversation dashboard is a scorecard of sorts that shows how each topic profile has performed in the last 7 days. Shown are the overall volume of posts, overall sentiment (also measured by the automatic sentiment tool), and the volume trend for each topic profile.