What the Fire Industry Can Learn from Other Industries’ Tech Adoption

The fire service is steeped in tradition and forged by experience, but as new technologies emerge, there’s a wealth of insight to be gained from how other industries have embraced innovation. 
What the Fire Industry Can Learn from Other Industries’ Tech Adoption

The fire service is steeped in tradition and forged by experience, but as new technologies emerge, there’s a wealth of insight to be gained from how other industries have embraced innovation.  

 

Sectors such as healthcare and aviation have undergone tech-driven revolutions – including remote monitoring, predictive analytics, simulation training, and rigorous safety protocols – that have transformed their operations and culture. Fire departments confronting new tools (from digital twins to AI decision support) need not reinvent the wheel; by studying successes and missteps in these mature fields, they can accelerate their own progress.  

 

In this post, we’ll explore key lessons from healthcare and aviation tech adoption, highlighting parallels to public safety. From patient monitoring to crew resource management, from data-driven triage to flight simulators, these examples illustrate how fire agencies can adapt best practices, manage change, and ultimately deliver safer and smarter emergency responses. We’ll also cover strategies like change management, user buy-in, and innovative procurement models that are universal to successful tech integration. 

 

Jump ahead to:

Cross-Industry Innovation: Why It Matters 

Firefighter trying out AR/VR training system for SAM, developed in partnership with Catapult and IDEX Fire & Safety.

 

Innovation in the fire service has often lagged behind private industries, partly due to tighter budgets and a risk-averse culture. But cross-industry learning is powerful. By observing how an ICU nurse utilizes advanced monitors or how a pilot trains for emergencies in a simulator, firefighters and chiefs can envision analogous improvements in their own world.  

 

For instance, the concept of “digital twins” – a virtual replica of a physical system for training and analysis – was pioneered in aerospace and manufacturing. Now, fire agencies are considering digital twins of buildings and cities to pre-plan and simulate fire scenarios before they happen . The military and EMS have used telemedicine and remote expert consultation for years; fire is beginning to explore similar ideas for hazardous materials incidents or technical rescues, where a remote specialist might guide crews via video. In short, looking beyond the fire service silo opens up possibilities: the problems of making decisions under pressure, keeping people safe, and managing complex operations are not unique to us. Others have tackled them with technology, and we can too. 

 

Moreover, cross-industry borrowing can save money and time. Rather than developing a solution from scratch, a fire department might adapt an off-the-shelf product from another field. A prime example is thermal imaging cameras – initially developed for military night vision and industrial inspections, they were adopted by firefighters to see through smoke. That single technology dramatically improved search and rescue. Today’s equivalents might be wearable health monitors borrowed from healthcare or autonomous drones from the military. By keeping a finger on the pulse of other industries, fire leaders can identify game-changing technologies early and determine how to integrate them into public safety. 

 

Lessons from Healthcare: Data-Driven Decision Making and Monitoring 

Data and connectivity have transformed the healthcare industry in the 21st century. Hospitals and EMS have had to manage life-and-death situations with technology assisting at every step, which offers several instructive parallels: 

 

Continuous Remote Monitoring 

 

In healthcare, particularly in chronic and critical care, remote patient monitoring is now a common practice. Doctors use devices that track vitals (heart rate, oxygen, blood pressure) in real-time, often while patients are at home or in transit, to catch early signs of trouble and intervene promptly.  

 

Fire service application: consider firefighters as “patients” in a hazardous environment. We can take a page from healthcare by equipping firefighters with physiological monitoring sensors that continuously send data to an incident commander. Just as a cardiologist gets an alert if a patient’s ECG shows arrhythmia, a safety officer could get an alert if a firefighter’s heart rate spikes or core temperature indicates heat stress.  

 

The National Fallen Firefighters Foundation has emphasized embracing physiological monitoring to reduce line-of-duty deaths – a lesson straight from medical telemetry. Healthcare teaches us that constant data feedback (with actionable alerts) can significantly improve outcomes by enabling preventative action 

 

In fire terms: pulling a crew out for rehab before they collapse from heat exhaustion, because the data showed early warning signs. 

 

Predictive Analytics and Risk Modeling 

 

Hospitals now leverage predictive analytics to improve triage and resource allocation. For example, emergency departments use algorithms that analyze incoming patient data and historical trends to predict which patients are at high risk and are likely to require ICU admission. One study showed ERs using such models cut wait times by 20% by proactively allocating staff when a surge was predicted.  

 

How can fire/EMS use this? Through community risk reduction and dynamic deployment. Fire agencies can analyze past incident data, weather, and demographics to forecast when and where calls are likely to occur, much like healthcare agencies predict patient influx. If data suggests a heatwave will likely cause a spike in heat-related illnesses and fires, departments could stage additional units or preemptively staff up (akin to hospitals postponing elective surgeries when an influx is forecast).  

 

Risk modeling in healthcare also looks at individual risk: e.g., a patient’s data might predict they have a high chance of cardiac arrest in the next 48 hours, prompting preventative treatment.  

 

The fire service is advancing from analog to predictive fire analytics: some cities use algorithms to identify buildings at high risk of fire (based on construction, violation history, weather, etc.), allowing inspectors to target those areas. The Fire Department of New York (FDNY), for instance, piloted a program to predict and preempt structure fires through data – a strategy very much inspired by predictive modeling in other fields.

 

Data-Driven Triage 

 

During the COVID-19 pandemic, hospitals like UMass Memorial developed tools to predict which COVID-19 patients would deteriorate versus recover, allowing them to triage patients to field hospitals or ICUs appropriately. This data-driven triage ensured resources were used efficiently and patients got the right level of care.  

 

In a mass-casualty incident or disaster, firefighters and medics could similarly use data (patient tags with vitals, etc.) and decision-support algorithms to triage victims more effectively than the traditional quick visual assessment. Some EMS systems already use tablet-based triage algorithms that mirror what ERs do – that is, a direct transfer of health tech to the field. 

 

Simulation Training and Checklists 

 

Healthcare, particularly in surgery and emergency medicine, has adopted simulation training and checklists, following the aviation model (which we’ll discuss soon). In med schools and hospitals, teams regularly drill on simulated crises – whether on high-fidelity mannequins or in VR – to practice rare but critical procedures (like responding to a cardiac arrest or a multi-car crash scenario). They use checklists for even routine procedures (e.g., surgical time-out checklists) to avoid errors.  

 

Fire can learn from this emphasis on preparation and error reduction. While the fire service does training burns and drills, there is room to incorporate more scenario simulations under stress. For example, some departments are adopting medical simulation mannequins for firefighter down drills or using virtual reality to simulate fireground command decisions 

 

Borrowing the healthcare idea of inter-disciplinary simulation, fire departments could train with EMS and police in unified simulations, much like a trauma team practices with ER doctors, nurses, and anesthesiologists together. The lesson here is that realism in training enhances performance in real-life incidents, and the technology to achieve this (VR, AR, computerized mannequins) is becoming increasingly accessible. 

 

A Culture of Continuous Improvement 

 

Additionally, the healthcare industry’s culture of continuous improvement through data (e.g., morbidity and mortality reviews, where errors are analyzed, often aided by data from monitors and recordings) could inform the fire service’s post-incident analyses. Firefighters can similarly use data logs from connected equipment (radio recordings, GPS traces, wearable data) to dissect their responses and find areas to improve, just as a hospital might analyze a surgery that had complications. 

 

Lessons from Aviation: Safety Culture, Simulation, and Communication 

 

The aviation industry is frequently cited as a gold standard in safety and technology adoption. Over the decades, aviation transformed from a high-risk endeavor to one of the safest modes of travel. This was achieved through relentless focus on technology, training, and culture changes – many of which map closely to the needs of fire services. 

Innovation over the years between two Cessna 182 aircrafts, showing the shift from mechanical controls to digital flight avionics with some automation. Even with the extremely low tolerance for error in the air, seasoned pilots prefer digital avionics over old mechanical gauges because of the efficiencies and added safety they bring.

 

Crew Resource Management (CRM) and Communication 

 

One of aviation’s most significant breakthroughs was Crew Resource Management – a system of communication and decision-making that flattened hierarchies in the cockpit and encouraged teamwork and speaking up about safety. Pilots and crew are trained to communicate clearly, use standard terminology, and adhere to protocols to prevent misunderstandings.  

 

In the fire service, a similar approach has been promoted: ensure that any firefighter can voice concerns and that incident commanders foster an environment where information flows freely upward and downward. The parallel to CRM is already acknowledged in firefighting circles.  

 

The aviation mantra “aviate, navigate, communicate” (fly the plane, know where you are, talk to others) has its fireground equivalent: “manage, plan, communicate” – meaning the IC must first manage the incident (ensure immediate operational control), plan ahead (forecast fire behavior, plan tactics), and communicate the plan clearly to all units. Aviation’s experience shows that having clear rules of engagement and communication saves lives.  

 

For instance, aviation eliminated “freelancing” – no crew member deviates from procedure without coordination. Fire services can continue to reinforce that lesson. At an incident, sticking to the Incident Command System and not freelancing (no rogue actions outside the plan) is as crucial as a pilot not suddenly deciding to change course without Air Trafiic Control (ATC) clearance. Some fire departments have adopted explicit communication protocols (akin to pilots’ check-backs), for example, requiring a read-back of critical orders (“Copy: evacuate the building, all companies acknowledge”). This reduces misunderstandings, just as in aviation. 

 

Frequent Training and Simulation 

 

Commercial pilots spend many hours every year in simulators practicing both routine and emergency procedures. They undergo regular proficiency checks – essentially tests – to ensure their skills haven’t deteriorated.  

 

The fire service historically drills often, but may not formally re-evaluate seasoned officers in the same way. Aviation’s model suggests value in regular re-certification or proficiency assessments for roles like Incident Commander or apparatus operator. As one fire service commentator noted, “Pilots get frequent check rides…why not the same for ICs?”.  

 

The goal is not punitive, but rather to identify areas that require refresher training. Simulation technology is now making this feasible for fire. We can put incident commanders in a simulator (even a software-based one on a computer or VR headset) to run them through a simulated three-alarm fire or disaster scenario. They can practice decision-making, and afterwards review what went well or poorly.  

 

This concept, derived directly from aviation, could significantly enhance fireground leadership performance without relying solely on real incidents as the primary practice ground. Virtual reality training is already being deployed in some academies to supplement live training, allowing firefighters to experience a variety of scenarios safely. Aviation tells us that muscle memory and cognitive preparedness for high-stress events are built in simulators. Fire can benefit from the same, using XR to simulate complex incidents, such as factory fires and active shooter scenarios with fires, where multi-agency coordination is tested. 

 

Aviation’s experience also underscores the importance of procedure and checklist discipline. Air crews use checklists religiously for both normal and abnormal operations to ensure nothing is missed. Many fire/EMS agencies have started to use checklists (for example, a wildfire deployment checklist or a post-fire apparatus inventory checklist). Emulating this further, like a standardized initial attack checklist for the first-due officer (“360° size-up done, water supply established, radio report given, IRR completed, etc.”), can instill consistency. The famous example often cited: a pilot will not skip the pre-flight walkaround or checklist even to save time, so a firefighter shouldn’t skip wearing a seatbelt or doing a 360 size-up just to save a minute. The culture of “better a delay than a disaster” that Captain Sullenberger preached in aviation is a valuable mindset for firefighters as well. 

 

Data and Automation 

 

Modern jets are full of sensors and real-time telemetry – engines send data to maintenance crews on the ground mid-flight, autopilots adjust controls for optimal performance, and advanced warning systems alert pilots to conflicts or errors. The fire service can mirror this with connected apparatus and automation 

 

For instance, in aviation, if a sensor flags low oil pressure, a warning is instant; fire vehicles can do the same for pump failures or low water, sending alerts to crews (via systems like Captium). Some fire trucks now have automatic pump governors and even pump operation automation (as in the SAM system), analogous to an aircraft’s autothrottle or autopilot managing routine tasks so pilots can focus on strategy.  

 

Aviation’s lesson is that automation, when used to handle the predictable tasks, frees human operators to concentrate on variables and big-picture decisions. A pump operator using an automated water flow system can focus on monitoring the fire and crew needs rather than twiddling knobs – similar to a pilot monitoring weather and traffic. At the same time, the autopilot keeps the plane straight and level. 

 

Data Analysis for Safety 

 

Another parallel: just as airlines embraced data-driven safety programs (like recording all flight data and analyzing it for weak signals of problems), fire departments can employ data analysis for safety. This could include tracking every near-miss and incident report in a database to find trends, or using video analysis of responses to improve techniques.  

 

Airlines even share safety data across companies (through anonymous reporting systems) – a concept that fire could adopt via national databases of close calls, so departments nationwide learn from each other’s experiences. This requires a cultural commitment to transparency and learning rather than blame, which is something aviation has cultivated over the years, and fire is gradually moving towards with programs like the Firefighter Near Miss Reporting System. 

 

Innovation Best Practices: Change Management and Buy-In

SAM founder Jason Cerrano training firefighters on the SAM, a system developed by firefighters, to improve safety, efficiency, and effectiveness on the fireground.

 

Learning from other industries isn’t just about specific technologies – it’s also about how they implemented them. Both healthcare and aviation faced internal resistance to significant changes (doctors skeptical of AI diagnostics, pilots initially resistant to CRM, etc.). They offer case studies in change management that fire departments can emulate.

 

Stakeholder Involvement 

 

In healthcare, when new electronic health record systems were rolled out, the successful hospitals were those that involved doctors and nurses in the selection and design process, rather than imposing it top-down. User buy-in was achieved by addressing frontline workers’ concerns (like workflow impact) and even having “physician champions” lead the change.  

 

The fire service can do the same: when considering a new technology (such as a tablet-based inspection software or a drone program), involve firefighters and officers early. Form committees or pilot groups to test the equipment and provide feedback. This inclusive approach ensures the solution actually meets user needs and gives firefighters a sense of ownership in the change.  

 

One could take inspiration from how some airlines involve veteran pilots in designing cockpit interfaces, knowing they’ll spot practical issues that engineers might miss. In a fire involving a mix of old-school firefighters and tech-savvy younger members on a pilot project team, a more well-rounded implementation plan can be yielded. 

 

Training and Changeover Periods 

 

Neither aviation nor healthcare simply flipped a switch on new tech without ample training. When airlines introduced highly automated aircraft (like transitioning from analog gauges to glass cockpits), they invested heavily in training to ensure pilots were comfortable and skilled with the new systems. Similarly, when hospitals implement new patient monitoring or record systems, they often run dual systems for a while and train staff in stages.  

 

Fire departments should plan thorough training phases for any new technology, encompassing not only initial training but also ongoing refreshers. If a department buys, for example, an AI-based dispatch system or a new radio network, it might run it in parallel with the old system during a trial, allowing people to get used to it through non-emergency drills, and only then fully deploy it. The concept of a “beta test” or gradual rollout is common in other industries, helping to catch issues early and reduce anxiety among users. 

 

Change Champions and Culture Shift 

 

A big takeaway from aviation safety improvements is that leadership and culture were as important as the technology itself. Airlines had to encourage a culture where junior crew could speak up (to use CRM effectively), which required strong leadership messaging and modeling of the desired behavior.  

 

In fire departments, adopting innovative practices (like using data analytics or digital checklists) may require a cultural shift from “we’ve always done it this way.”  

 

Fire leaders should identify and empower change champions within the department – respected individuals who believe in the new technology and can positively influence their peers. For example, a well-respected captain who embraces a new tablet reporting system can mentor others and alleviate fears, rather than the change being seen as imposed by “outsiders” or headquarters.  

 

Celebrate small wins publicly – if a new drone program helped save a life or a new software reduced response times, share that success widely. This mirrors healthcare’s practice of sharing patient outcome improvements that resulted from a new protocol to get everyone onboard with the change. 

 

Robust Procurement and Evaluation 

 

Public agencies often have bureaucratic procurement processes, but they can learn from private sector agility without sacrificing accountability. One model is phased procurement with pilot evaluation – buy a few units first, test in real conditions, gather feedback, then decide on scaling up. This approach, used in both medical device trials and airline tech adoption, ensures you’re investing wisely. Also, thinking in terms of total cost of ownership (training, maintenance, updates) like a business would, can prevent nasty surprises. For instance, an EMS service that adopted tablets learned from a hospital that it must budget for technical support staff or risk devices falling out of use. 

 

Open Lines of Communication 

 

Change often fails due to poor communication. Successful innovations in other industries came with heavy communication campaigns. Leaders repeatedly articulated why the change is needed (e.g., “this new alerting system will save minutes in dispatch and we believe it will increase cardiac arrest survival by 10%”), and how it will benefit the staff (“it will reduce your workload on scene by automating the accountability reports”).  

 

Tying the tech to the core mission and personal benefit helps win hearts and minds. Aviation turned safety and precision into core values that everyone bought into; fire service can similarly rally around the idea that certain tech (like accountability systems or fireground sensors) is ultimately about everyone going home safe and better service to the community. Reinforcing that message consistently can erode the knee-jerk skepticism that often greets new tools. 

 

Actionable Ideas for Fire Departments

 

How can fire departments practically emulate these lessons from healthcare and aviation? Here are a few concrete strategies: 

  • Establish an Innovation Team or Officer: Many hospitals have a Chief Innovation Officer or a committee to vet new tech. A fire department could designate a small team of multi-rank personnel who regularly scan for relevant technologies, evaluate them, and champion pilot projects. This team ensures continuous improvement is a formal part of the organization, not an ad-hoc effort. 
  • Pilot Projects and Gradual Scaling: Start with trial programs. If considering, say, digital twin software for pre-incident planning, run a pilot on one district or one type of occupancy, measure results (did it improve pre-plan quality or incident outcomes), then iterate. This mimics how airlines might test a new scheduling algorithm on a subset of routes before implementing it fleetwide.
  • Cross-Train with Other Disciplines: Do Joint training sessions with hospitals or aviation partners. For example, send fire officers to observe an airline simulator training session for emergency landings - they might bring back ideas for command training. Likewise, invite a hospital's emergency management team to walk through your incident command training or a large exercise. Cross-pollination often sparks innovation; a firefighter might see an ER triage board and realize a similar board could help at multi-patient fire scenes.
  • Invest in People, Not Just Hardware: A final lesson is that technology fails without humans ready to use it properly. So, invest in training, create specialist roles (e.g., a data analyst in the fire department, or a drone unit leader), and reward those who develop technical expertise. Just as airlines have training captains and simulation instructors, maybe fire departments will have XR training officers or data officers in the near future.

By applying these cross-industry lessons, fire departments can avoid common pitfalls and accelerate the benefits of new technology. Other industries have demonstrated that the thoughtful adoption of innovation can lead to significant improvements in safety, efficiency, and effectiveness.  

 

The fire service mission – protecting life and property – stands to gain enormously from tools like predictive analytics, digital simulations, and connected sensors. The key is to proceed in an informed way: learn from the doctors who’ve integrated AI into diagnosis, the pilots who trust their instruments and crew coordination, and the processes that made those integrations successful. In doing so, the fire service can emulate and even leapfrog the curve of tech adoption, ensuring our firefighters are as well-equipped and supported by technology as any professionals in the world. 

 

Change is never easy, especially in a field built on hard-earned experience and tradition. But as we’ve seen, innovation is not the enemy of tradition – it’s an evolution of it. Just as aviation didn’t abandon the wisdom of experienced captains when introducing computers, the fire service can honor the foundational principles of firefighting (discipline, bravery, adaptability) while enhancing them with modern tools. By learning from those who have gone before, fire leaders can blend the best of both worlds: the human intuition and camaraderie forged in countless fires, with the analytical power and foresight offered by advanced technology. The result will be a safer fireground, more lives saved, and a fire service that continues to lead as an all-hazards emergency responder in the modern age. 

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