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2024
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OVERVIEW
INFO
Project
May 2024

/ UX / UI
/ Design System

CE-certified
monitoring app for coma patients

CE-certified monitoring
app for coma patients

I led the UX/UI design of M2Call's CE-certified medical app developed for Rigshospitalet in collaboration with Siemens, enabling clinicians and nurses to remotely monitor coma patients.

The project required translating strict medical requirements into a clear, trustworthy interface that clinicians and nurses could depend on in critical care situations.
Success & Impact
  • Achieved CE-marking, ISO-13485 certification, & NDAA compliance
  • Prevented nurse exodus by enabling single-bed room monitoring
  • Became regular part of Neurointensive unit at Rigshospitalet
  • Positioned for international scaling across EU hospitals from 2025
OVERVIEW
UX / UI / Design System
May
2024
INFO

CE-certified
monitoring app for coma patients

CE-certified
monitoring app for coma patients

I led the UX/UI design of M2Call's CE-certified medical app developed for Rigshospitalet in collaboration with Siemens, enabling clinicians and nurses to remotely monitor coma patients.

The project required translating strict medical requirements into a clear, trustworthy interface that clinicians and nurses could depend on in critical care situations.
Success & Impact
  • Achieved CE-marking, ISO-13485 certification, & NDAA compliance
  • Prevented nurse exodus by enabling single-bed room monitoring
  • Became regular part of Neurointensive unit at Rigshospitalet
  • Positioned for international scaling across EU hospitals from 2025
Collective logo
[ 1 ]  THE PAIN POINTS
1. Bedside presence was required around the clock
Nurses had to stay at the bedside continuously, leading to fatigue, stress, and staffing gaps that reduced attention available for other critical patients.
2. Important signs were easy to miss
Each patient displayed different signs indicating condition changes, but no structured system existed for tracking these signals or connecting them to the individual patient. In a busy environment, the important developments could go unnoticed.
3. Operational Inefficiencies
Organizing continuous bedside monitoring created uneven workloads and strained shift planning. Frequent manual checks and competing tasks slowed response times.
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[ 2 ]  THE PROCESS
Understanding the problem
Through conversations and workshops, I explored the daily challenges nurses and clinicians faced in intensive care. These conversations revealed the strain of continuous bedside presence, the risk of missing critical changes, and operational bottlenecks.
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‍Defining phase
I mapped out pain points, different flows and  journey maps to identify key moments and responsibilities. This research surfaced some critical insights that shaped the product strategy:
No control mechanisms for nurses' unavailability
No overviews meant nurses lacked patient status visibility.
Trust issues with new tech, AI, workflows and reliability

‍Prototypes, testing and iteration
Early concepts were developed into interactive prototypes and tested with ICU staff. Their feedback helped refine the structure, simplify interactions, and prioritize critical information, resulting in an interface clinicians and nurses could rely on in high-pressure situations.
[UP]  FLYERS
[LEFT]  MOBILE SCREENS
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[ 3 ]  THE SOLUTION
Live bedside view, anywhere
A live feed interface enables remote patient monitoring, easing the pressure of constant bedside presence. Nurses can quickly assess each patient's situation from any location. Notifications and alarms are displayed at the bottom of the feed, without obstructing the view.

Each patient is identified by bed number with assigned primary and secondary nurses. Alerts appear across multiple touchpoints to ensure nothing is missed, and nurses can switch to critical patients with a single click.

The app includes vital signs monitoring and customizable features. Nurses can pause alarms or turn off the camera feed when already at the bedside or when patient privacy needs to be respected.
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[RIGHT]  BOOKLET
Smart detection and alerts
An AI-powered detection system automatically identifies clinically relevant movements such as mouth activity or arm motion, displaying them as alerts. These movements were documented and categorized with staff input to ensure accuracy and relevance.

Nurses can access an overview of all available movements, toggling which ones trigger notifications based on each patient's needs. A complete movement history provides a documented timeline of patient activity, enabling clinicians to track patterns and respond quickly without constant manual observation.
Customised to each patientPattern tracking capabilityEarly movement detection
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Streamlining workflows
The app streamlined everyday operational tasks. Nurses could assign beds to patients, designate primary and secondary nurses with clear authority over each bed, and set up or extend shifts when needed. This reduced logistical challenges and made shift planning more efficient.

To make sure every alert was addressed, notifications followed a clear escalation path. If the primary nurse didn’t respond, it was forwarded to the secondary, and if still unanswered, then to all nurses on duty.
Primary nurse  →  Secondary nurse  →  All nursesPrimary nurse
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Secondary nurse
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All nurses

An admin portal gave technicians full control, from camera placement to user management and movement databases. This added security, reduced shift interruptions, and lowered staff workload and stress.

I also built a design system that enabled seamless updates as needs evolved, making it easy to add features, maintain consistency, and deploy improvements without disrupting workflows.
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[ 4 ]  THE SUCCESS
M2Call's Migo app achieved CE-marking, ISO-13485 certification, and NDAA compliance. It’s now a regular part of the Neurointensive Care Unit at Rigshospitalet, is used in multiple hospitals across Denmark, and from 2025, the system is also being installed in hospitals abroad.

The introduction of single-patient rooms risked potential nurse exodus. M2Call's monitoring system therefore prevented nurse departures by reducing workload demands.

A big thank you to my fellow designer Wiktoria Cieńciała, the M2Call tech team, the Siemens team, and the clinicians and nurses at Rigshospitalet, whose collaboration and trust made this possible.

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AND THAT'S ALL,
FOLKS ツ IF YOU WANNA WORK
TOGETHER OR JUST SAY HI, HIT ME UP

AND THAT'S ALL, FOLKS ツ
IF YOU WANNA WORK TOGETHER
OR JUST SAY HI, HIT ME UP

AND THAT'S ALL, FOLKS ツ IF YOU WANNA WORK TOGETHER OR JUST SAY HI, HIT ME UP

Behance →EMAIL →LinkedIn →twitter →
EMAIL →Behance →LinkedIn →twitter →
2025 Site built by me :)
2025 Site built by me :)