migo sygeplejerske

migo English AI technology for monitoring patients in intensive care units. Provides patients with a sense of security and gives healthcare professionals more flexibility and autonomy in their daily work.

migo is an advanced, camera-based monitoring system powered by AI technology, designed for intensive care units. The system has been developed in Denmark in close collaboration with clinical experts and provides healthcare professionals with greater flexibility and autonomy in their daily work. 
migo is CE-marked in accordance with MDR and classified as Class IIa.

migo nurses
Increased autonomy for nurses.

The migo1 solution has been developed to address the challenges posed by single-patient rooms in modern hospitals, which often require intensive care staff to maintain continuous bedside presence. 
By enabling remote monitoring, migo has the potential to free up valuable resources in an already highly demanding environment, ultimately improving care for patients and supporting their families.

The system is CE-certified (MDR Class IIa), GDPR-compliant, and designed for intuitive use in daily clinical practice.
It allows nurses, quite literally, to keep the patient “in their pocket.” Combining AI-driven software with real-time camera streaming, migo sends alerts to a smart device whenever the patient exhibits potentially unsafe movements, such as hand-to-mouth actions. 
The Nurse can respond immediately and access a live camera stream of the patient. No footage, neither video nor sound, is stored.

For detailed technical information, please refer to the Technical Specifications section.

1.

How migo works

1. A camera is mounted on the ceiling of the room. 

2. The unit is configured with new users, teams, departments, movements, and notifications.

3. Healthcare staff log into the unit and select the movements to be monitored for each individual patient.

4. The healthcare staff are alerted if the patient moves and can immediately assess the situation via live-stream video, then either approve the alarm themselves or escalate it to a colleague.

In this way, the patient is monitored 24/7 - even if there is a need to leave the room briefly.

Technical Specifications
Download (pdf)

Movement detections

Specificity

Sensitivity

Movement of left arm

93.30%

92.00%

Movement of right arm

97.70%

96.50%

Movement of left hand near face

82.20%

91.20%

Movement of right hand near face

100.00%

93.00%

Movement of eyes (blink, partially open)

100.00%

100.00%

Movement of mouth

85.20%

93.20%

Rapid movements in shoulders, head and chest indicating coughind 

90.70%

90.00%

Movements of hands near each other

100.00%

80.00%

Any movement

80.30%

95.90%

Anne-Mette Sejersen

Sales RepresentativeMedtech AImigo

migo presse
Ole Nygaard, Siemens Healthineers and Michael Lange, M2Call

06.03.2025 - Intelligent, unique camera solution with artificial intelligence achieves CE marking in record time and supports nurses’ work and patient safety in the Department of Anaesthesia and Intensive Care at Rigshospitalet. The solution has been developed in collaboration with leading clinicians, specialists, and nurses in the field.


Anne-Mette Sejersen

Sales RepresentativeMedtech AImigo