Health-Tech
AI
UX Research
Nexus - Connecting First Responders. Saving Seconds. Saving Lives.
An AI-driven ecosystem that clears radio congestion and unifies emergency teams during critical accidents.
Overview
Turning Chaotic Accident Scenes Into Unified Operations With Smart AI Real-Time Collaboration Tools
Responders often face deadly delays due to traffic and jammed radio channels. Nexus solves this by using AI to convert voice reports into text, which keeps critical lines open for true emergencies. By connecting existing gear directly to hospital networks, it unifies police, fire, and EMS into one team, ensuring faster, life-saving responses.
Timeline
Jan 2024 – May 2024
(17 Weeks)
What I Did
UX Research, UX Strategy, User Interviews, Data Synthesis, Concept Ideation, Storyboarding, User Flows, Stakeholder Presentation
Team
Nandini Solse(me), Allyson Scott, Sudarshan Vasudevan, Tanvi Joshi, Unnati Mistry
Tools I Used
Figma, FigJam, Affinity Mapping, User Personas, Storyboards, Competitive Analysis, Literature Review, Training Video Analysis
The Problem
Confusion, Jammed Radios, and Waiting for
Updates Cause Deadly Delays
Emergency teams often struggle to reach crash victims quickly due to heavy traffic, blocked radio channels, and the need to wait for safety checks. Current systems keep police, fire, and medical teams separate, forcing them to rely on slow verbal updates that block critical information.
Solution
The Solution Nexus Connects First Responders
Into One Team to Speed Up Rescues
Nexus helps police, fire, and medical teams work as one unit to clear radio lines and save time. Working with their current equipment, it uses AI to turn voice commands into text reports and shares patient health data directly with hospitals. By predicting where accidents might happen and organizing updates instantly, Nexus ensures the right help arrives faster.
My Approach - The Process
DESK RESEARCH
Research Insights
The Scale of the Crisis
National Impact
There are over 240 million EMS calls annually in the U.S. and 38,824 traffic deaths.
Did you know?
896 Traffic-Related Deaths
in 2020 alone, with fatal accidents peaking in rural areas where resources are scarcest
Local Context (Indiana)
In 2020, Indiana saw 896 traffic deaths. The state faces a massive workforce shortage, with call volumes rising by 33.5% but only 4,587 certified paramedics available to respond.
Competitive Analysis
(IBM, Traumasoft)
Current Tech
Existing tools like IBM and Traumasoft focus on transport times but lack real-time inter-agency data sharing.
Opportunity
Studies in Singapore and Tianjin proved that AI can dynamically redeploy ambulances based on spatial demand, saving critical minutes.
QUALITATIVE RESEARCH
User Interviews
Insights & Observations
Augment, Don't Replace
A strong interest in leveraging AI to enhance existing tools and
processes, not replace human judgement
No More Hardware
Deep concern from responders about the burden of additional
physical hardware, given the existing weight of the gears
Seamless Integration
A clear preference for AI solutions that integrate with current
hardware and software infrostructure
Bridge the Tech Gap
A need to introduce powerful new capabilities (like AI) in an
intuitive & accessible way, with limited emerging technologies
Key User Constraints
Our interviews with first
responders revealed
three critical rules
for our design
Tech Hesitancy
Responders are concerned about the weight of their gear. They do not want new hardware; they want existing tools to work better.
Integration is Mandatory
The solution must overlay existing legacy systems, not replace them.
The "Command Gap."
The "Incident Command System" (ICS) relies heavily on voice radio, which breaks down during mass casualty events due to channel congestion
How Might We…
fix broken communication to solve the 'Wait Problem'
without weighing down our first responders?"
SYNTHESIS
Affinity Mapping
Synthesizing the Chaos: Clustering Pain Points
Tech Hesitancy
Responders are wary of new technology that adds physical weight to their gear
The Command Gap
Relying on verbal radio channels creates a "Wait Problem" due to static and congestion during mass casualty events
Integration
The solution must overlay existing legacy infrastructure rather than replacing it
User Personas
We designed for the three distinct roles operating in the "silos" of emergency response
Emily (The EMT)
The Struggle:
She cannot effectively communicate patient conditions to the hospital due to noise and chaos at the scene.
The Goal:
Needs a silent, digital way to log vitals and alert the hospital.
David (The Police Officer)
The Struggle:
Deals with radio congestion that prevents him from coordinating traffic control and managing the scene at the same time.
The Goal:
A method to input scene details without tying up the voice channel.
Alex (The Firefighter)
The Struggle:
Has limited visibility inside smoke or burning vehicles and finds it hard to radio his safety status to the commander.
The Goal:
Needs hands-free, automated status updates.
The Problem
The "Wait Problem": A Critical Delay, A Delay where Minutes Mean Lives
In many situations, Emergency Medical Services (EMS) must wait for law enforcement to assess and secure the accident scene before they can enter to treat victims. While necessary for safety, this creates a critical delay.
"The Wait Problem"
Nearly 20% of fatal road accidents in studies regions involved a dispatch delay of 5 minutes or more as EMS waited for scene confirmation
IDEATION & DESIGN
Nexus
The Solution: From Static to Signal
Our Solution Nexus, answers this by replacing chaotic voice channels with a streamlined digital ecosystem that connects existing devices.
By integrating
AI-driven voice-to-text reporting to clear the airwaves,
digital triage tags to sync hospital data instantly, and
predictive analytics to position ambulances before crashes occur,
Nexus bridges the "Command Gap" and transforms reactive chaos into a synchronized, proactive response.
The Solution: Nexus Comms
Concept 1: Solving Radio Congestion: AI-Driven Reporting
The Struggle
During mass casualty events, voice radio channels get jammed. Officers like David cannot call in scene details because the line is busy, forcing EMS teams to wait minutes for safety clearance.
The Solution: Nexus Comms
Instead of fighting for airtime, the officer dictates details into the Nexus mobile interface. The AI instantly transcribes this into a text-based "Plan of Action" and pushes it to all units simultaneously
The Impact
This clears the "static" from voice channels, keeping the radio open for
life-or-death communication while ensuring EMS gets the "Go" signal instantly
The Solution: Nexus Triage
Concept 2: Solving the Hospital Disconnect: Digital Triage Tags
The Struggle
EMTs like Emily often arrive at hospitals with critical patients, only to find the ER unprepared because on-site data didn't reach them in time.
The Solution: Nexus Triage
Responders use digital tags to input patient status (e.g., "Critical", "Minor") via voice or tap at the scene. Nexus calculates the triage level and alerts the hospital before the ambulance even leaves the crash site.
The Impact
Hospitals receive real-time data ("3 Critical Incoming"), allowing them
to prep beds and staff in advance, eliminating handover delays.
The Solution: Nexus Foresight
Concept 3: Solving Reactive Response: Predictive Analytics
The Struggle
Emergency response is traditionally reactive waiting for a 911 call before moving resources. This leads to longer travel times, especially in rural Indiana.
The Solution: Nexus Comms
Nexus analyzes historical data & weather patterns, traffic volume, and road geometry to identify high-risk "Hotspots" in real-time.
The Impact
Dispatchers can pre-position ambulances near these danger zones before accidents occur,
shifting the operation from reactive to proactive and shaving minutes off travel time.
VALIDATION & CONCLUSION
Collaboration > Tools:
AI functions best when it strengthens the "Incident Command System" (ICS) to make Police, Fire, and EMS act as a unified brain rather than isolated parts
Integration is Mandatory:
First responders will reject new technology if it adds physical weight. The solution must live effectively inside the infrastructure they already use.
Data Speed = Survival:
The biggest opportunity to save lives lies in shaving minutes off "scene assessment" time through real-time data sharing
Hi
Found something that resonated?
Let’s collaborate and turn insights into impact.
Contact
Email :
nsolseiu@gmail.com
Health-Tech
AI
UX Research
Nexus - Connecting First Responders. Saving Seconds. Saving Lives.
An AI-driven ecosystem that clears radio congestion and unifies emergency teams during critical accidents.
Overview
Turning Chaotic Accident Scenes Into Unified Operations With Smart AI Real-Time Collaboration Tools
Responders often face deadly delays due to traffic and jammed radio channels. Nexus solves this by using AI to convert voice reports into text, which keeps critical lines open for true emergencies. By connecting existing gear directly to hospital networks, it unifies police, fire, and EMS into one team, ensuring faster, life-saving responses.
Timeline
Jan 2024 – May 2024
(17 Weeks)
What I Did
UX Research, UX Strategy, User Interviews, Data Synthesis, Concept Ideation, Storyboarding, User Flows, Stakeholder Presentation
Team
Nandini Solse(me), Allyson Scott, Sudarshan Vasudevan, Tanvi Joshi, Unnati Mistry
Tools I Used
Figma, FigJam, Affinity Mapping, User Personas, Storyboards, Competitive Analysis, Literature Review, Training Video Analysis
The Problem
Confusion, Jammed Radios, and Waiting for
Updates Cause Deadly Delays
Emergency teams often struggle to reach crash victims quickly due to heavy traffic, blocked radio channels, and the need to wait for safety checks. Current systems keep police, fire, and medical teams separate, forcing them to rely on slow verbal updates that block critical information.
Solution
The Solution Nexus Connects First Responders
Into One Team to Speed Up Rescues
Nexus helps police, fire, and medical teams work as one unit to clear radio lines and save time. Working with their current equipment, it uses AI to turn voice commands into text reports and shares patient health data directly with hospitals. By predicting where accidents might happen and organizing updates instantly, Nexus ensures the right help arrives faster.
My Approach - The Process
DESK RESEARCH
Research Insights
The Scale of the Crisis
National Impact
There are over 240 million EMS calls annually in the U.S. and 38,824 traffic deaths.
Did you know?
896 Traffic-Related Deaths
in 2020 alone, with fatal accidents peaking in rural areas where resources are scarcest
Local Context (Indiana)
In 2020, Indiana saw 896 traffic deaths. The state faces a massive workforce shortage, with call volumes rising by 33.5% but only 4,587 certified paramedics available to respond.
Competitive Analysis
(IBM, Traumasoft)
Current Tech
Existing tools like IBM and Traumasoft focus on transport times but lack real-time inter-agency data sharing.
Opportunity
Studies in Singapore and Tianjin proved that AI can dynamically redeploy ambulances based on spatial demand, saving critical minutes.
QUALITATIVE RESEARCH
User Interviews
Insights & Observations
Augment, Don't Replace
A strong interest in leveraging AI to enhance existing tools and
processes, not replace human judgement
No More Hardware
Deep concern from responders about the burden of additional
physical hardware, given the existing weight of the gears
Seamless Integration
A clear preference for AI solutions that integrate with current
hardware and software infrostructure
Bridge the Tech Gap
A need to introduce powerful new capabilities (like AI) in an
intuitive & accessible way, with limited emerging technologies
Key User Constraints
Our interviews with first
responders revealed
three critical rules
for our design
Tech Hesitancy
Responders are concerned about the weight of their gear. They do not want new hardware; they want existing tools to work better.
Integration is Mandatory
The solution must overlay existing legacy systems, not replace them.
The "Command Gap."
The "Incident Command System" (ICS) relies heavily on voice radio, which breaks down during mass casualty events due to channel congestion
How Might We…
fix broken communication to solve the 'Wait Problem'
without weighing down our first responders?"
SYNTHESIS
Affinity Mapping
Synthesizing the Chaos: Clustering Pain Points
Tech Hesitancy
Responders are wary of new technology that adds physical weight to their gear
The Command Gap
Relying on verbal radio channels creates a "Wait Problem" due to static and congestion during mass casualty events
Integration
The solution must overlay existing legacy infrastructure rather than replacing it
User Personas
We designed for the three distinct roles operating in the "silos" of emergency response
Emily (The EMT)
The Struggle:
She cannot effectively communicate patient conditions to the hospital due to noise and chaos at the scene.
The Goal:
Needs a silent, digital way to log vitals and alert the hospital.
David (The Police Officer)
The Struggle:
Deals with radio congestion that prevents him from coordinating traffic control and managing the scene at the same time.
The Goal:
A method to input scene details without tying up the voice channel.
Alex (The Firefighter)
The Struggle:
Has limited visibility inside smoke or burning vehicles and finds it hard to radio his safety status to the commander.
The Goal:
Needs hands-free, automated status updates.
The Problem
The "Wait Problem": A Critical Delay, A Delay where Minutes Mean Lives
In many situations, Emergency Medical Services (EMS) must wait for law enforcement to assess and secure the accident scene before they can enter to treat victims. While necessary for safety, this creates a critical delay.
"The Wait Problem"
Nearly 20% of fatal road accidents in studies regions involved a dispatch delay of 5 minutes or more as EMS waited for scene confirmation
IDEATION & DESIGN
Nexus
The Solution: From Static to Signal
Our Solution Nexus, answers this by replacing chaotic voice channels with a streamlined digital ecosystem that connects existing devices.
By integrating
AI-driven voice-to-text reporting to clear the airwaves,
digital triage tags to sync hospital data instantly, and
predictive analytics to position ambulances before crashes occur,
Nexus bridges the "Command Gap" and transforms reactive chaos into a synchronized, proactive response.
The Solution: Nexus Comms
Concept 1: Solving Radio Congestion: AI-Driven Reporting
The Struggle
During mass casualty events, voice radio channels get jammed. Officers like David cannot call in scene details because the line is busy, forcing EMS teams to wait minutes for safety clearance.
The Solution: Nexus Comms
Instead of fighting for airtime, the officer dictates details into the Nexus mobile interface. The AI instantly transcribes this into a text-based "Plan of Action" and pushes it to all units simultaneously
The Impact
This clears the "static" from voice channels, keeping the radio open for
life-or-death communication while ensuring EMS gets the "Go" signal instantly
The Solution: Nexus Triage
Concept 2: Solving the Hospital Disconnect: Digital Triage Tags
The Struggle
EMTs like Emily often arrive at hospitals with critical patients, only to find the ER unprepared because on-site data didn't reach them in time.
The Solution: Nexus Triage
Responders use digital tags to input patient status (e.g., "Critical", "Minor") via voice or tap at the scene. Nexus calculates the triage level and alerts the hospital before the ambulance even leaves the crash site.
The Impact
Hospitals receive real-time data ("3 Critical Incoming"), allowing them
to prep beds and staff in advance, eliminating handover delays.
The Solution: Nexus Foresight
Concept 3: Solving Reactive Response: Predictive Analytics
The Struggle
Emergency response is traditionally reactive waiting for a 911 call before moving resources. This leads to longer travel times, especially in rural Indiana.
The Solution: Nexus Comms
Nexus analyzes historical data & weather patterns, traffic volume, and road geometry to identify high-risk "Hotspots" in real-time.
The Impact
Dispatchers can pre-position ambulances near these danger zones before accidents occur,
shifting the operation from reactive to proactive and shaving minutes off travel time.
VALIDATION & CONCLUSION
Collaboration > Tools:
AI functions best when it strengthens the "Incident Command System" (ICS) to make Police, Fire, and EMS act as a unified brain rather than isolated parts
Integration is Mandatory:
First responders will reject new technology if it adds physical weight. The solution must live effectively inside the infrastructure they already use.
Data Speed = Survival:
The biggest opportunity to save lives lies in shaving minutes off "scene assessment" time through real-time data sharing
Hi
Found something that resonated?
Let’s collaborate and turn insights into impact.
Contact
Email :
nsolseiu@gmail.com
Health-Tech
AI
UX Research
Nexus - Connecting First Responders. Saving Seconds. Saving Lives.
An AI-driven ecosystem that clears radio congestion and unifies emergency teams during critical accidents.
Overview
Turning Chaotic Accident Scenes Into Unified Operations With Smart AI Real-Time Collaboration Tools
Responders often face deadly delays due to traffic and jammed radio channels. Nexus solves this by using AI to convert voice reports into text, which keeps critical lines open for true emergencies. By connecting existing gear directly to hospital networks, it unifies police, fire, and EMS into one team, ensuring faster, life-saving responses.
Timeline
Jan 2024 – May 2024
(17 Weeks)
What I Did
UX Research, UX Strategy, User Interviews, Data Synthesis, Concept Ideation, Storyboarding, User Flows, Stakeholder Presentation
Team
Nandini Solse(me), Allyson Scott, Sudarshan Vasudevan, Tanvi Joshi, Unnati Mistry
Tools I Used
Figma, FigJam, Affinity Mapping, User Personas, Storyboards, Competitive Analysis, Literature Review, Training Video Analysis
The Problem
Confusion, Jammed Radios, and Waiting for
Updates Cause Deadly Delays
Emergency teams often struggle to reach crash victims quickly due to heavy traffic, blocked radio channels, and the need to wait for safety checks. Current systems keep police, fire, and medical teams separate, forcing them to rely on slow verbal updates that block critical information.
Solution
The Solution Nexus Connects First Responders
Into One Team to Speed Up Rescues
Nexus helps police, fire, and medical teams work as one unit to clear radio lines and save time. Working with their current equipment, it uses AI to turn voice commands into text reports and shares patient health data directly with hospitals. By predicting where accidents might happen and organizing updates instantly, Nexus ensures the right help arrives faster.
My Approach - The Process
DESK RESEARCH
Research Insights
The Scale of the Crisis
National Impact
There are over 240 million EMS calls annually in the U.S. and 38,824 traffic deaths.
Did you know?
896 Traffic-Related Deaths
in 2020 alone, with fatal accidents peaking in rural areas where resources are scarcest
Local Context (Indiana)
In 2020, Indiana saw 896 traffic deaths. The state faces a massive workforce shortage, with call volumes rising by 33.5% but only 4,587 certified paramedics available to respond.
Competitive Analysis
(IBM, Traumasoft)
Current Tech
Existing tools like IBM and Traumasoft focus on transport times but lack real-time inter-agency data sharing.
Opportunity
Studies in Singapore and Tianjin proved that AI can dynamically redeploy ambulances based on spatial demand, saving critical minutes.
QUALITATIVE RESEARCH
User Interviews
Insights & Observations
Augment, Don't Replace
A strong interest in leveraging AI to enhance existing tools and
processes, not replace human judgement
No More Hardware
Deep concern from responders about the burden of additional
physical hardware, given the existing weight of the gears
Seamless Integration
A clear preference for AI solutions that integrate with current
hardware and software infrostructure
Bridge the Tech Gap
A need to introduce powerful new capabilities (like AI) in an
intuitive & accessible way, with limited emerging technologies
Key User Constraints
Our interviews with first
responders revealed
three critical rules
for our design
Tech Hesitancy
Responders are concerned about the weight of their gear. They do not want new hardware; they want existing tools to work better.
Integration is Mandatory
The solution must overlay existing legacy systems, not replace them.
The "Command Gap."
The "Incident Command System" (ICS) relies heavily on voice radio, which breaks down during mass casualty events due to channel congestion
How Might We…
fix broken communication to solve the 'Wait Problem'
without weighing down our first responders?"
SYNTHESIS
Affinity Mapping
Synthesizing the Chaos: Clustering Pain Points
Tech Hesitancy
Responders are wary of new technology that adds physical weight to their gear
The Command Gap
Relying on verbal radio channels creates a "Wait Problem" due to static and congestion during mass casualty events
Integration
The solution must overlay existing legacy infrastructure rather than replacing it
User Personas
We designed for the three distinct roles operating in the "silos" of emergency response
Emily (The EMT)
The Struggle:
She cannot effectively communicate patient conditions to the hospital due to noise and chaos at the scene.
The Goal:
Needs a silent, digital way to log vitals and alert the hospital.
David (The Police Officer)
The Struggle:
Deals with radio congestion that prevents him from coordinating traffic control and managing the scene at the same time.
The Goal:
A method to input scene details without tying up the voice channel.
Alex (The Firefighter)
The Struggle:
Has limited visibility inside smoke or burning vehicles and finds it hard to radio his safety status to the commander.
The Goal:
Needs hands-free, automated status updates.
The Problem
The "Wait Problem": A Critical Delay, A Delay where Minutes Mean Lives
In many situations, Emergency Medical Services (EMS) must wait for law enforcement to assess and secure the accident scene before they can enter to treat victims. While necessary for safety, this creates a critical delay.
"The Wait Problem"
Nearly 20% of fatal road accidents in studies regions involved a dispatch delay of 5 minutes or more as EMS waited for scene confirmation
IDEATION & DESIGN
Nexus
The Solution: From Static to Signal
Our Solution Nexus, answers this by replacing chaotic voice channels with a streamlined digital ecosystem that connects existing devices.
By integrating
AI-driven voice-to-text reporting to clear the airwaves,
digital triage tags to sync hospital data instantly, and
predictive analytics to position ambulances before crashes occur,
Nexus bridges the "Command Gap" and transforms reactive chaos into a synchronized, proactive response.
The Solution: Nexus Comms
Concept 1: Solving Radio Congestion: AI-Driven Reporting
The Struggle
During mass casualty events, voice radio channels get jammed. Officers like David cannot call in scene details because the line is busy, forcing EMS teams to wait minutes for safety clearance.
The Solution: Nexus Comms
Instead of fighting for airtime, the officer dictates details into the Nexus mobile interface. The AI instantly transcribes this into a text-based "Plan of Action" and pushes it to all units simultaneously
The Impact
This clears the "static" from voice channels, keeping the radio open for
life-or-death communication while ensuring EMS gets the "Go" signal instantly
The Solution: Nexus Triage
Concept 2: Solving the Hospital Disconnect: Digital Triage Tags
The Struggle
EMTs like Emily often arrive at hospitals with critical patients, only to find the ER unprepared because on-site data didn't reach them in time.
The Solution: Nexus Triage
Responders use digital tags to input patient status (e.g., "Critical", "Minor") via voice or tap at the scene. Nexus calculates the triage level and alerts the hospital before the ambulance even leaves the crash site.
The Impact
Hospitals receive real-time data ("3 Critical Incoming"), allowing them
to prep beds and staff in advance, eliminating handover delays.
The Solution: Nexus Foresight
Concept 3: Solving Reactive Response: Predictive Analytics
The Struggle
Emergency response is traditionally reactive waiting for a 911 call before moving resources. This leads to longer travel times, especially in rural Indiana.
The Solution: Nexus Comms
Nexus analyzes historical data & weather patterns, traffic volume, and road geometry to identify high-risk "Hotspots" in real-time.
The Impact
Dispatchers can pre-position ambulances near these danger zones before accidents occur,
shifting the operation from reactive to proactive and shaving minutes off travel time.
VALIDATION & CONCLUSION
Collaboration > Tools:
AI functions best when it strengthens the "Incident Command System" (ICS) to make Police, Fire, and EMS act as a unified brain rather than isolated parts
Integration is Mandatory:
First responders will reject new technology if it adds physical weight. The solution must live effectively inside the infrastructure they already use.
Data Speed = Survival:
The biggest opportunity to save lives lies in shaving minutes off "scene assessment" time through real-time data sharing
Hi
Found something that resonated?
Let’s collaborate and turn insights into impact.
Contact
Email :
nsolseiu@gmail.com