PROJECT  [ 00 - 2 ]
2023
*M2CALL 
*M2CALL 

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OVERVIEW
INFO
Project
May 2023

UX / UI
/ Design System

CE-certified
monitoring app for coma patients

CE-certified monitoring
app for coma patients

M2Call is a Danish MedTech company behind Migo, a CE-certified medical app that helps clinicians and nurses monitor coma patients remotely. Using AI powered cameras, Migo detects clinically relevant movements and displays the information and notifications directly in the app, allowing staff to respond quickly.

Migo was developed in collaboration with Siemens & Rigshospitalet in Copenhagen. At MindFuture, I led the UX/UI design of the app, turning strict medical requirements into a clear and trustworthy interface that clinicians and nurses could rely on.
OVERVIEW
UX / UI
/ Design System
May
2023
INFO

CE-certified
monitoring app for coma patients

CE-certified
monitoring app for coma patients

M2Call is a Danish MedTech company behind Migo, a CE-certified medical app that helps clinicians and nurses monitor coma patients remotely. Using AI powered cameras, Migo detects clinically relevant movements and displays the information and notifications directly in the app, allowing staff to respond quickly.

Migo was developed in collaboration with Siemens & Rigshospitalet in Copenhagen. At MindFuture, I led the UX/UI design of the app, turning strict medical requirements into a clear and trustworthy interface that clinicians and nurses could rely on.
Collective logo
[ 1 ]  THE PAIN POINTS
From interviews and floor walks with clinicians and nurses, a few themes kept coming up.
1. Bedside presence was required around the clock
Nurses had to stay by the bedside continuously, but this approach was not sustainable. It led to fatigue, stress, and staffing gaps elsewhere in the ward, putting additional pressure on the team and reducing the attention available for other critical patients.
2. Important signs were easy to miss
Each patient displayed different signs that could indicate changes in their condition, but there was no structured system for listing or tracking these signals or linking them to the individual patient. In a busy environment where attention was divided, this made it easy for important developments to go unnoticed.
3. Operational Inefficiencies
Organising a system where nurses had to stay bedside for coma patients was logistically challenging, creating uneven workloads and straining shift planning. Frequent manual checks and competing tasks added to the complexity, making monitoring difficult and slowing response times.
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[ 2 ]  THE PROCESS
Understanding the problem
The work began with exploring the daily challenges nurses and clinicians faced in intensive care. Interviews and floor walks gave me insight into their routines, the strain of continuous bedside presence, and the moments where important changes could be missed. These conversations surfaced critical pain points and shaped the direction of the product from the start.


Defining phase
At this stage, the focus was on understanding and clearly defining users’ needs and problems. I mapped out pain points, created personas to represent different roles, and developed user journey maps to highlight key moments, responsibilities, and scenarios. This provided a clear overview of where the system could make the biggest impact and align with clinical workflows.

This was also the phase when crucial insights about the target group emerged. For example, understanding that most nurses were slightly older, and working in hectic, fast paced environments shaped many design choices, such as the hierarchy, typography, colors and interactions.


Sketches and ideation
With key challenges and needs defined, I explored different interface structures and alert flows through sketches and low-fidelity prototypes. The goal was to generate ideas and test concepts early. This approach helped surface what worked for clinicians and shaped the foundation of the final interface.


Prototype, feedback and iteration
The early concepts were developed into interactive prototypes and shared with ICU staff for feedback. Their reactions helped refine the app’s structure, simplify interactions, and prioritise what mattered most on the screen. Through multiple iterations, the interface evolved into a tool 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
An interface with a live feed was designed to ease the pressure of constant bedside presence. Clinicians and nurses could monitor patients remotely and use the live feed to quickly assess each patient’s situation.

Notifications and alarms were displayed on the bottom of the live feed, so they are always visible, but not obstructing the view. Each patient was identified by bed number and assigned primary and secondary nurses. Notifications appeared across multiple points (bed overview, individual bed views & menus) to ensure nothing was missed, and nurses could switch to a critical patient with a single click.

The app also gave nurses control over several features, such as temporarily pausing alarms or turning off the camera feed. This was especially useful when they were already at the bedside and didn’t need further alerts, or when patient privacy needed to be respected.
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 nurses
Primary nurse  →  Secondary nurse  →  All nurses
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[UP]  INSIDE BOOKLET
[DOWN RIGHT]  BILLBOARD
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[RIGHT]  BOOKLET
Smart detection and alerts
An AI powered detection system was built to ensure even the smallest signs were noticed. Different movements such as mouth activity or arm motion were automatically identified and displayed as alerts. Together with staff input, these movements were documented and categorised. Clear and structured notifications allowed clinicians and nurses to respond quickly without relying on constant manual observation.
Early detectionCustomised to each patientBetter prioritisation
[ LEFT ]
TOTE BAG
[ LEFT ]
TOTE BAG
Streamlining workflows
The app streamlined everyday tasks such as assigning beds, setting up shifts and extending them when needed. Each patient had a timeline of detected changes, so clinicians could quickly see what happened and when. This supported smooth handovers and cut down on repeated manual checks and confusion.

An admin portal gave technicians full control of the system, from camera assignments to user management and a database of detected movements. All of this added a layer of security, reduced interruptions during shifts and noticeably lowered the daily workload and stress levels for staff.
To make the product adaptable, I built a design system that allowed the interface to be seamlessly edited and updated as new needs and functionalities arose, ensuring nurses always had an up to date and consistent experience. This foundation made it easy to design new features, maintain visual coherence across different modules and roll out improvements quickly without disrupting clinical workflows.
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[ 4 ]  THE SUCCESS
M2Call's Migo app has evolved into a certified and trusted solution, achieving 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.

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.