Innovations Improving Public Safety Strategies

WWLD? What Would Lucian Do? A tribute to a transformative leader, Dr. Lucian Leape. In applying #AI to support future pt safety, Dr. Leape would stress: 1-systems thinking 2-psychological safety 3-transparency 4-learning Here are innovative #AI safety initiatives he might champion: 1. “Latent Hazard Map;" generate a heat map of latent safety threats using a multimodal model continuously reviewing data from EHR event logs, devices, work-order tickets.. to highlight medication-error zones or recurrent staffing/equipment–acuity mismatches to mitigate harm. 🟢 Identify system vulnerabilities; turn scattered, unconnected data into actionable system redesign through robust pattern recognition creating intelligent insight. 2. “Psychological-Safety Radar;” Use NLPs/LLMs to filter shift-handoff transcripts, Slack/Teams chats, and incident-report narratives to understand the staffing atmosphere in real time—flagging blame-heavy language or silence zones. Managers and directors would receive coaching nudges (i.e, “invite perspective from quiet members”). 🟢 Embeds Just Culture and safety measures into daily operations, making invisible behavioral risks visible. 3. "Digital-Twin Pre-Shift Simulator;” ML/DL/Gen AI  models build a digital twin of tomorrow’s unit including; census, patients’ acuity, staff roster, and pharmacy/equipment/supply chain signals. Charge RNs run a simulation to preview likely bottlenecks, device shortages, or high-risk transfers. 🟢 Combines systems engineering and safety design,  teams get foresight rather than hindsight. 4. “Room-Sense Safety Sentinel;” Vision models watch for falls, bed-rail gaps, IV-pump occlusion, postures, ungloved line accesses, and even caregiver fatigue signals. 🟢 Embeds error-prevention design into the physical environment. 5. “Just-Culture Navigator for RCA;” A NLP/LLM model ingests event reports, device logs, staffing records, and policy manuals, then guides the RCA team through a Socratic dialogue:  It connects the dots from a library of past RCAs and event reviews to provide a system improvement perspective. 🟢 Codifies a learning, system-focused RCA approach time from weeks to days. 6. “Oculomics-Driven Cognitive Load Meter;” Eye-tracking in smart glasses or workstation webcams, monitors eye movement velocity and pupil dilation during med prep/complex procedures. It identifies individual’s cognitive overload/fatigue and offers micro-interventions: auto-double-check prompt or deferral to another colleague. 🟢 Uses human factors to design systems that respect biological limits and catching slips/lapses. AI can: 1.     Detect hazards earlier and farther “upstream.” 2.     Support error-resistant environments that ease, not burden, clinicians. 3.     Maintain psychological safety by keeping alerts supportive. #UsingWhatWeHaveBetter Michael Posencheg Lalit Bajaj Jeffrey Glasheen, MD Jennifer Wiler MD, MBA, FACEP Read Pierce Dan Hyman,MD Aarti Raghavan Jeffrey Rakover Joseph Kaempf

Last month, a drone from Skyfire | AI was credited with saving a police officer’s life after a dramatic 2 a.m. traffic stop. Many statistics show that AI impacts billions of lives, but sometimes a story still hits me emotionally. Let me share what happened. Skyfire AI, an AI Fund portfolio company led by CEO Don Mathis, operates a public safety program in which drones function as first responders to 911 calls. Particularly when a police department is personnel-constrained, drones can save officers’ time while enhancing their situational awareness. For example, many burglar alarms are false alarms, maybe set off by moisture or an animal. Rather than sending a patrol officer to drive over to discover this, a drone can get there faster and determine if an officer is required at all. If the alarm is real, the drone can help officers understand the situation, the locations of any perpetrators, and how best to respond. In January, a Skyfire AI drone was returning to base after responding to a false alarm when the police dispatcher asked us to reroute it to help locate a patrol officer. The officer had radioed a few minutes earlier that he had pulled over a suspicious vehicle and had not been heard from since. The officer had stopped where two major highways intersect in a complex cloverleaf, and dispatch was unsure exactly where they were located. From the air, the drone rapidly located the officer and the driver of the vehicle he had pulled over, who it turned out had escaped from a local detention facility. Neither would have been visible from the road — they were fighting in a drainage ditch below the highway. Because of the complexity of the cloverleaf’s geometry, the watch officer (who coordinates police activities for the shift) later estimated it would have taken 5-7 minutes for an officer in a patrol car to find them. From the aerial footage, it appeared that the officer still had his radio, but was losing the fight and unable to reach it to call for help. Further, it looked like the assailant might gain control of his service weapon and use it against him. This was a dire and dangerous situation. Fortunately, because the drone had pinpointed the location of the officer and his assailant, dispatch was able to direct additional units to assist. The first arrived not in 5-7 minutes but in 45 seconds. Four more units arrived within minutes. The officers were able to take control of the situation and apprehend the driver, resulting in an arrest and, more important, a safe outcome for the officer. Subsequently, the watch officer said we’d probably saved the officer’s life. [Reach length limit; full text: https://lnkd.in/g3QdKp5Q ]

With the current impact of cell network outages across almost all carriers in the US, it's a good time to talk about the future; actually, it's not even about the future, it's the present. Several years ago I started talking about having mobile robotics (air, ground and maritime robotics, like drones, rovers and submergible devices) be part of a mobile adhoc network or MANET. One example is a private mesh network, like Silvus Technologies provides. These communications solutions for high bandwidth video, C2, health and telemetry data are absolutely needed in today's environment and allow for a very flexible set-up and coverage; from a local incident scene, to a much larger area coverage, to entire cities or counties being covered. Why the need? While we in the drone industry originally focused on getting drones connected to a cell network, we quickly realized the single point of failure; the cell network infrastructure. Natural disasters, as well as manmade disasters, can impact these networks dramatically. An earthquake, hurricane, a solar storm, or a cyberattack, can take down these public networks for hours to days. And that includes public safety dedicated solutions like FirstNet or Frontline, during times when coms and data push is absolutely needed. Over the past couple of years we have seen the rise of mobile robotics deployments within private networks. While the defense side has done this approach for years, the public safety sector is still new to this concept. Some solutions integrate with a variety of antennas, amplifiers and ground stations, offer low latency, high data rates (up to 100+Mpbs), 256-bit AES encryptions and allow for a very flexible and scalable mobile ad-hoc mesh network solution. And most importantly - independence from a public network system. And now imagine you have multiple devices operating; a helicopter, a drone, a ground robotic, together with individuals on the ground, all connected and all tied into a geospatial information platform, like ATAK/TAK. Each connected device can become a node and extend the range. This is what I am calling building the Tech/Tac Bubble. This is not just the future, this is already happening with a handful of agencies across the US It's time to start thinking about alternative communication solutions and mobile robotics are an important part of leading the way. #UAV #UAS #UGV #Drones #network #MANET #Meshnetwork #publicsafety

The traditional approach to accident scene documentation has long been bottlenecked by specialist requirements. For decades, the creation of court-admissible diagrams required accident reconstructionists with specialized training in measurement techniques and complex CAD-based software. This dependency created significant bottlenecks when the specialist is unavailable — extended road closure times, delayed reports, and inconsistent documentation to name a few. How are we changing this paradigm? By capturing accident scenes through drone or cell phone footage, departments can now generate precise 3D models with integrated measurement capabilities in minutes rather than hours. The technology automatically produces 2D ortho maps and simplified sketch views that meet evidentiary standards for court proceedings. Our technology standardizes what was previously a specialist function. Any operator can now capture comprehensive scene data that automatically generates scaled, accurate documentation. The resulting workflow eliminates the measurement and diagramming bottlenecks that have historically delayed accident reporting and investigation processes. And the implications extend beyond efficiency gains. Reduced road closure times enhance public safety by minimizing secondary collision risks. Officer safety improves through decreased exposure to traffic hazards. Documentation quality becomes standardized across departments rather than varying with individual specialist skills. Over 1,000 public safety agencies have implemented this approach, recognizing how technology can enhance documentation quality while dramatically reducing the resource burden of accident scene processing. The evolution towards SkyeBrowse means less traffic, more productivity, and ultimately, cost savings for the city as a whole. As departments continue facing staffing challenges and increasing service demands, technological solutions that maintain quality while reducing specialist dependencies will become increasingly essential to effective operations. #PublicSafety #AccidentDocumentation #InvestigativeTechnology #LawEnforcement #CourtAdmissible

Law enforcement faces a critical choice: embrace AI and data science to improve public safety outcomes or risk saving fewer lives. Think about this: A gunshot rings out at 2:00 AM. The traditional process relies on someone hearing it, deciding to call 911, and trying to describe the location from inside their apartment without the benefit of being able to visually confirm the location. (That's assuming they call in the first place—as 80-90% of gunfire goes unreported.) Now imagine an AI-powered response with an audio-recording snippet of the incident. The digital process gives instant detection and the precise location of the gunshot. Officers can now respond minutes faster to the precise location versus driving around the neighborhood in circles. This isn’t science fiction - it's happening today. These AI-powered technologies transform police response and, as a result, save lives and capture and preserve evidence, which is critical in improving case closure rates. AI isn't replacing officers or human judgment either. AI prioritizes the effective use of limited resources where they need to be. Police departments struggling with staff shortages of 15-30% have a golden opportunity to alleviate some of this burden by leveraging AI. It's clear that AI and data science are transforming law enforcement’s ability to prevent crimes and protect communities. Be part of the solution and define the future of public safety. Give public safety leaders better tools to make faster, smarter decisions that save lives.

10 real-world lessons on public safety drones and tech from Sergeant Zach Finfrock on the Smart FireFighting Podcast 🚔 If the rig isn’t practical, the drone won’t fly Zach didn’t build a tech museum. He built a patrol-ready drone vehicle that works on every shift. It handles traffic stops, call responses, and drone launches without missing a beat. That’s how it should be. 🚁 Not replacing helicopters, just reducing wait times Before drones, air support meant maybe getting a chopper if one was free. Now Zach can launch in under a minute and get eyes on a scene before backup even arrives. 🔫 It’s not a toy. It’s another tool on the belt Most tools don’t get used every day. Doesn’t mean they’re optional. The same goes for drones. When you need it, you need it. Period. 📐 Flying a drone means juggling three rulebooks FAA regulations, state laws, and department policy…all at once. On top of the actual emergency unfolding in front of you. It’s not just flying. It’s operating with full accountability. 🗺️ Shared maps > shared radio chatter Drone Flight Hub lets departments drop pins, draw search zones, and stream live feeds. Everyone sees what’s happening without stepping on each other. It makes coordination feel like second nature. 👮♀️ Start with one drone and two solid pilots You don’t need a fleet. You need people who know how to fly and remain calm under pressure. Once the program proves itself, scaling is easy. Starting sloppily is how it dies. 🤔 Drones don’t solve calls. They make them safer Overwatch, recon, real-time support. That’s where drones shine. Not replacing responders, just giving them better tools to make better decisions. 🚨 Real-time crime isn’t a theory. It’s already happening Live drone feeds. Shared platforms. LPRs. Zach and his neighbors are already linking up and supporting each other in real time. It’s not hype. It’s just smart operations. 🔭 AI has potential. But trust comes first Zach isn’t against AI. He’s for smart use. The community has to know that tech helps them, not watches them. Use it well or don’t use it at all. 🙃 If it ain’t broke, cool. But don’t ignore what’s better Zach used to stick with what worked. Now he pushes to try what might work better. That mindset shift matters. Comfort doesn’t move the mission forward. What hit hardest for you? Full podcast episode here: Apple: https://lnkd.in/gKGXkwSh Spotify: https://lnkd.in/gRaSkYia #SmartFirstResponder #SmartFirefighting #DroneOps #PublicSafetyTech #LawEnforcementTools #DFR #RealTimeCrime #FirstResponderTech

Transforming Fire Safety with Technology: Insights from U.S. Fire Administrator Dr. Lori Moore-Merrell The fire service is evolving, and technology is at the center of this transformation. In the latest episode of ICC Region I Radio, Dr. Lori Moore-Merrell dives into how AI, data analytics, and innovation are reshaping fire safety. Key takeaways from the conversation: ✅ Modernized data systems: The new National Emergency Response Information System (NERIS) replaces outdated NFIRS, providing real-time insights to make smarter decisions. ✅ AI in action: Discover how AI helps identify patterns in fire data, improves resource allocation, and enhances response times. ✅ Community risk reduction: Learn how data-driven strategies can help fire departments tailor safety plans to meet the specific needs of their communities. ✅ Tackling lithium-ion battery fires: NERIS provides better tools to track and understand these incidents, ensuring more effective responses. ✅ Wildfire technology: Advanced tools like AI-enabled sensors and augmented reality apps are improving prevention and mitigation efforts. This episode is packed with actionable insights and forward-thinking strategies that every fire safety professional can use. 🎧 Don’t miss out on this important conversation! 👉 Listen on Spotify https://lnkd.in/gcu6wDq7 or Apple Podcasts https://lnkd.in/gKSkRWGK 👉 Watch on YouTube https://lnkd.in/gZ2Pq9dw #FireSafety #AI #CommunityRiskReduction #FirePrevention #TechnologyInFireService

What if your next firefighter was a robot on four legs? 🤖🔥     In a recent breakthrough from China, emergency response teams have deployed quadruped firefighting robots, agile and intelligent machines designed to navigate disaster zones where humans can't.     This robot is equipped with a water cannon, thermal imaging, and autonomous mobility.      It is trained to combat fires in high-risk environments like chemical plants, tunnels, and collapsed buildings, reducing danger for frontline responders. 👨🚒     💡 Why does this matter?     Reaches places too dangerous or inaccessible for humans    Operates in extreme heat, toxic smoke, and unstable terrain    Enhances efficiency in emergency rescue and disaster relief     🛠️ Built and tested in China, these robots are part of the country's push for AI-powered emergency tech.     The results are already turning heads in public safety circles worldwide.     🌍 The social impact?     Safer working conditions for fire crews.     Faster, smarter emergency response.     Fewer lives lost in industrial and urban disasters.     Excited to see this innovation reach India, where such tech can revolutionize disaster management, especially in crowded cities and hazardous industrial zones.     The future of public safety is not just human. It is human + machine, working together.     #applogiq #firefighting #robotics #emergencyresponse #ai #publicsafety #disastertech #robotdog #smartcities #makeinindia #innovationforgood #techforimpact #makedigitallives 

🚗💥 What if a crash didn’t feel like hitting a wall... but like spinning to safety instead? On highways, we all pass guardrails and never think twice. Until the moment they matter most. That’s where a clever twist in design is saving lives — literally. Introducing a smart road barrier that doesn’t just stop vehicles… It spins. Yes — it’s called the Rolling Barrier Guardrail System. And it works with the force of a crash — not against it. 🔄 Instead of crumpling on impact, these bright yellow rollers: ✅ Spin to absorb energy ✅ Redirect the vehicle back onto the road ✅ Reduce injury risks for drivers and passengers ✅ Keep the vehicle from flipping or bouncing back into traffic 💡 Why is this innovation so powerful? Because it turns something dangerous into something forgiving. It’s not just a barrier — it’s a second chance. 🌍 Already being used on roads in South Korea, the U.S., and beyond… These rotating barriers are changing how we think about highway safety. Let’s build roads that expect mistakes — and protect people anyway. 👇 Would you like to see this system in your country? 👉 Follow me for more honest conversations about tech. 🔁 Repost to spread awareness about this life-saving technology. 👥 Tag a traffic engineer, city planner, or road safety advocate. #RoadSafety #HighwayInnovation #RollingBarrierSystem #SmartInfrastructure #SafeRoadsForAll #TransportationTech #TrafficEngineering #CrashPrevention #UrbanMobility #PublicSafety #DrivingInnovation

How about a viable AI use case that positively impacts public safety? We've recently introduced our latest Harmony AI feature, designed to automate alarm calls to 911 Centers. Here is the problem (or safety gap) it aims to solve: => Today, 20-30% of calls to 911 come from alarm companies. => 98%+ of these alarms are FALSE (not a typo). => 911 centers have staffing shortages of ~30% on average. => Alarm calls can be put on hold when shortages are severe. => These calls are projected to grow to > 50% by 2027. One could argue that the status quo isn’t sustainable. What we aim to solve: The standard operating procedures for handling alarm calls are fairly structured. To streamline this process, we leverage AI to answer these calls, gather relevant information, and then summarize and package it into a digital alert that is processed without needing 911 telecommunicator involvement. Early results are encouraging: => 50-80% of alarm calls can be processed automatically. => This means 10-24% of all calls are processed automatically. => Freeing up critical capacity for overworked and understaffed centers. => While also eliminating hold times when present. Multiple fail-safes are included to ensure the 911 telecommunicator is still in control. For example, the technology is only used on alarm calls, not 911 emergency calls. The ECC can tailor the technology to its protocols. The AI repeats information for alarm operator confirmation, and the telecommunicator can listen to recorded answers as needed. Why should you care? I believe we would rather have 911 telecommunicators focus on emergency calls from our family, friends, and colleagues than be distracted by alarm calls that are often FALSE. The safety and security technologies we rely on, personally and professionally, aren't truly 'intelligent' when identifying verified emergencies. This can lead to unintended consequences and a false sense of security. Without a better solution, the situation will only get worse in the coming years, putting more pressure on an already constrained and under-appreciated public safety network. We believe that by combining artificial and human intelligence, we make the heroes who work every day to keep us safe superheroes. The job isn’t done, as the downstream implications of false alarms on those who respond to the calls are still a problem. But one step at a time. Check out the first comment to learn more.