PROJECT  [ 00 - 3 ]
2024
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OVERVIEW
INFO
Project
2022-2025

/ 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, which lets nurses and clinicians watch over coma patients remotely.

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, and NDAA compliance
  • Prevented nurse exodus by enabling single-bed room monitoring
  • Became a regular part of the neurointensive unit at Rigshospitalet
  • Positioned for international scaling across EU hospitals from 2025
OVERVIEW
UX / UI / Design System
2022-
2025
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, and NDAA compliance
  • Prevented nurse exodus by enabling single-bed room monitoring
  • Became a regular part of the neurointensive unit at Rigshospitalet
  • Positioned for international scaling across EU hospitals from 2025
Collective logo
[ 1 ]  THE PROBLEM
There was no monitoring system in place. Nurses stood at their patient's bedside all shift, with only a cordless DECT phone to reach each other. With the unit moving to single-patient rooms, one nurse could no longer watch several beds.
1. Nurses could not step away
Fatigue, stress and less attention for other critical care patients.
2. Important signs were easy to miss
Every patient showed different signs, and nothing tracked them.
3. Operational inefficiencies
If a nurse had to leave, the only option was a call on the DECT phone.
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[ 2 ]  THE PROCESS
Clinical staff walked us through the unit and explained the ins and outs of their everyday workflows. I ran interviews with 5 nurses and conducted an additional survey with 15 participants.

The biggest finding was trust. Nurses had to rely on a camera and an AI where it matters most. Some movements are harmless. Others, like a patient pulling out their breathing tube, can be life threatening.
The workshops
The method
What nurses did
The decision
Card sorting
What nurses did
Chose how beds are shown
The decision
Numerical order rather than floor plan
Priority ranking
What nurses did
Ranked movements, vital signs and body regions
The decision
Certain regions and movements carry bigger significance
Colour and
attention tests
What nurses did
Ranked colours by movement severity
The decision
Dropped colour coding by severity; led to confusion and noise
Timed
usability tests
What nurses did
4 rounds, every friction point logged
The decision
Iterations on shift and live feed flows
[UP]  FLYERS
[LEFT]  MOBILE SCREENS
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[ 3 ]  THE SOLUTION
Live feed at a glance
Migo shows a live camera feed of the patient, with vital signs below. An AI detects movements and sends alerts to the nurse's phone.

An alert must always be visible, and it must never hide the upper 2/3 of the patient (an insight from the workshops). On a small screen those two goals fight each other, because the feed fills most of it. So alerts sit in a strip at the bottom, and the face and arms stay clear.
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[RIGHT]  BOOKLET
Nurses choose which movements trigger an alert, and fixed severity levels rank them
Which movements matter for a patient is a clinical judgement, so nurses switch each movement on or off per patient. The list of movements was defined with clinical staff.

Ranking is different. When several alerts arrive at once, nobody has time to sort them. So every movement has a fixed severity, set once and applied to every patient, and the most serious alert shows first.
Tailored to each patientFixed severity orderMost urgent alarms first
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No alert goes unanswered
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.

One of the biggest issues was that a nurse might simply not be available to act, so the alarm had to keep moving until someone could. That's why the escalation flow was introduced. Accepting an alert means the nurse has seen the patient and takes responsibility. If they decline, or don't answer within 20 seconds, the alert goes to the secondary nurse, then to all nurses on duty, until it is answered.
Primary nurse
Secondary nurse
All nurses
Beyond the app
A separate web interface was also designed. 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 OUTCOME
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.
What I learned

1) Every decision had consequences somewhere else. Changing how alerts look changed how they stack, and stacking changed how much of the patient you could see.

2) When people are busy, remove decision-making. Every movement has a fixed severity, so nobody has to sort alerts when several arrive at once.

3) In critical care, trust comes from control. Nurses chose which movements to watch and accepted alerts only after seeing the patient.