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Emergency Software Management
Published February 22, 2024
In emergency management, much is made of the importance of situational awareness.
Understandably so. Up-to-the-minute knowledge of objects, events, people, system states, interactions, environmental conditions, and other situation-specific factorsi is critical to mobilizing a rapid, efficient, and effective emergency responseii.
Situational awareness, however, is not an aim in and of itself.
Knowledge and understanding of the current disaster situation, as describes the U.S. Army Field Manual, is meant to promote the timely, relevant, and accurate assessment of an operation – to facilitate real-time decision making.
Situational awareness, as such, is the means. Decision support is the end.
And key to decision support is the collecting, analysis, and understanding of historical inefficiencies, through the creation of data modelsiii.
Where responses include multiple agencies and entities, as they so often do in emergency management, those data models will cluster together diverse, event-specific data sources –lots of them.
That’s not the only challenge to effective decision support in emergency management.
The aim of decision support is to enable agencies to detect and report incidents automatically, as well as dynamically adapt resource allocation and dispatch approaches, even if the environment in which the emergencies occur changesiv.
To do so, agencies must develop incident forecasting models that:
It’s not that easy, though.
Further complicated by the fact that agencies must respond to daily incidents and large-scale disasters, alike; and the decision support capabilities needed to deal with these two types of events vary greatly.
Disasters and security attacks, for instance, are likely to hinder operations by knocking out communications. In such incidents, agencies will require forecasts over fine spatial and temporal resolutions, argue experts; yet, learning incident prediction models at high resolutions in this context is extremely difficult due to data sparsityvi.
And as mentioned above, achieving situational awareness itself requires information from lots of different data sources – sources which are often noisy.
Why does it matter? Well, integrating noisy data sources into real-time incident detection models is complex. Rendered even more complex because the learning procedures that go into these models must also be adaptive.
With those challenges affecting the delivery of effective decision support in emergency management, agencies often inquire what can be done?
As this guide will argue, digital dashboard capabilities within emergency and disaster management software can help.
Challenges to decision support in emergency response | |
Challenge | Challenge Capability management challenge |
Coordination | Emergency response management (ERM) requires coordination between multiple agencies and decision makers, each with their own objectives. Each decision maker often has access to only incomplete information, and coordination must happen quickly while a situation is unfolding. |
Data collection | It’s difficult to collect, integrate, and pre-process the eclectic data that forms the foundation for emergency response systems. Much of the data has high volume and velocity and is from diverse sources. This large set of data must then be narrowed down to a set of useful features. |
Incident forecasting | Incident occurrence is difficult to model due to incidents’ inherent randomness and high sparsity. We have also shown that incident models are sensitive to spatial-temporal resolution, which makes high-fidelity models challenging to learn. |
Incident detection | Fast incident detection is critical for timely response, but traditional reporting methods have time delays. Crowdsourced data-streams (e.g., Waze) provide an opportunity for early identification, but are noisy and uncertain. |
Dynamic environments | The environments in which ERM systems operate change over both long- and short-time scales. ERM systems must adapt to this non-stationarity. |
Communications | Many emergency incidents cause failures in communication networks. ERM systems must be robust to communication loss to maintain service in such situations. |
Source: Designing Decision Support Systems for Emergency Response: Challenges and Opportunities
Dashboard systems that provide real-time, relevant information on the current state of the organization to executive-level decision makers aren’t newvii. They first emerged in the 1970s, taking off in the 1980s, thanks to advances in computer displays and graphical user interfaces.
Subsequent innovation in the 1990s and early 2000 served to lower development costs, widening accessibility of digital dashboards to lower-level managersviii. This wider accessibility proved key to the take-off of digital dashboards in the business world.
These dashboards, as we know them today, are meant to provide “key, relevant information,” allowing for the summary of volumes of data in meaningful measuresix. They do so by means of intuitive visualizations, militating against information overload.
Why then don’t many emergency management systems come equipped with them?
Well, the acceptance of digital dashboards in emergency and disaster management has happened more gradually – often begrudgingly.
But done right, digital dashboards in emergency management provide the same basic functionality, in that these operational and executive dashboards – still, retaining the single display format, to visualize data and KPIs with charts and gauges and enable monitoring of assets and resources in real-time – allow emergency managers to better comprehend data from complex, data feeds.
What’s more, the visualized presentation of information in emergency services, just like in the business world, enables emergency managers to grasp insights out of noisy data sources, helping them to make more informed decisions, take precise actions, and create more comprehensive strategies during a crisis.
What’s needed from digital dashboards, however, differs from there.
Emergency managers rely on operational and executive dashboards to support a different type of mission than their for-profit business counterparts. Tasks that digital dashboards must support in emergency management include:
Furthermore, effective coordination between multiple organizations, as involved in the emergency response, relies on the development of a common operating picture. That means implementing dashboards will require more than just accessing information from multiple sources – the multi-agency context further adds legal, cultural, and organizational challenges than in the business context.
Unsurprisingly, the resultant process often involves multiple protocols and security restrictions. That drastically raises the technical ante and sharply increases implementation costs. Which is why emergency management agency leadership often shies away
Incumbent emergency management systems often present stark usability issues, complain their practitioners and administrators. These usability challenges limit day-to-day applicability of digital dashboards – users simply don’t want to use the systems and will go to lengths to create effortful workarounds.
The result: legacy systems, particularly ERPs and CRMs, stand less of a chance of being used properly during a disaster, due to lack of familiarity and proficiency.
All is not lost, though. Emergency and disaster management vendors on the market, such as Noggin, have done the requisite market research to understand when and how emergency users need information at a glance.
All is not lost, though. Emergency and disaster management vendors on the market, such as Noggin, have done the requisite market research to understand when and how emergency users need information at a glance.
Did we mention best practice? Noggin Emergency Management comes equipped with the following key dashboards – right out off the box. | ||
Title | Used by | Purpose |
Emergency Operations Centers | Executive level; state EOCs |
|
Emergency incident | All non-ICS staf |
|
Emergency incident (ICS) | All ICS staf |
|
Watchdesk | Watchdesk officer | |
EOC Watchdesk | All staff |
|
Situational awareness (N.A., Australia, and Europe) | All staff |
|
Evacuation shelter | Shelter manager |
|
Sheltering | Shelter manager |
|
Shelter registration | Shelter manager |
|
Dispatch(es) | Dispatchers, team leaders |
|
Finally, effective decision support has never been more important to emergency management, as the number and intensity of critical events increases. Too many organizations, though, lack the capabilities to enable effective decision making.
That must change. Luckily, innovative vendors, like Noggin, have been working overtime to learn how emergency managers prefer relevant data visualized and deliver on those user preferences.
While legacy vendors take a high-handed, take-it-or-leave-it approach, innovators have developed digital dashboard for executive, operational, and day-to-day practices. These dashboards bring best practices to the fore (or let organizations use their own), while enabling better coordination among teams and agencies.
The result: teams and agencies can more easily maintain situational awareness from the comfort of an EOC (digital, physical, or a combination of the two), which is key to making the best decisions when it matters most.
i. Staff, Fire Engineering: Situational Awareness: Key to Emergency Response. Available at https://www.fireengineering.com/firefighting/situationalawareness-key-to-emergency response/#gref.
ii. Tara Kedia et al, Disaster Medicine and Public Health Preparedness: Technologies Enabling Situational Awareness During Disaster Response: A Systematic Review. Available at https://www.cambridge.org/core/journals/disaster-medicine-and-public-health-preparedness/article/technologiesenabling-situational-awareness-during-disaster-response-a systematic-review/4B303623ECEF3F0413C68F1462DFC00F.
iii. Geoffrey Pettet et al, Vanderbilt and George Mason Universities: Designing Decision Support Systems for Emergency Response: Challenges and Opportunities. Available at https://arxiv.org/pdf/2202.11268.pdf.
iv. Ibid.
v. Ibid.
vi. Ibid.
vii. A Kirtland: Executive Dashboards. Boxes and Arrows. Available at http://www.boxesandarrows.com/archives/ executive_dashboards.php.
viii. Ibid.
ix. Geoffrey Pettet et al, Vanderbilt and George Mason Universities: Designing Decision Support Systems for Emergency Response: Challenges and Opportunities. Available at https://arxiv.org/pdf/2202.11268.pdf.