Unlock all real-time and retrospective waveform data from the bedside to create a new standard of data-driven care.

Transform any bed into an ICU bed in minutes.

Create virtual ICUs that can monitor up to 100 patients on a single screen across vendors, units and facilities.

Increase staff capacity by granting providers remote access to data from any PC, tablet or phone.

View cardiac monitoring and vent data from different vendors integrated in the same view.

Support evidence based care decisions by providing patient history for an entire length of stay.

Enhance clinical decision support through one-click sharing of trends with peers and specialists.

Enable user-configurable risk calculators and analytics to get ahead of deterioration.
Our Platform
Unlock your data for remote monitoring, waveform integration, predictive medicine, risk stratification, and more with Sickbay™ - a single, FDA-cleared virtual care and analytics platform

Featured Apps & Use Cases
Sickbay™ features web-based applications that transform data into actionable information to help care teams make better, faster decisions, and save lives.
Move your mouse over a card below to learn more.PatMon
Access real-time waveforms for remote viewing, command centers, and phone integration
MultiMon
Create vICUs, Virtual ICU
patient watch lists, and more for multiple patients - across vendors, units, and facilities
Patient Hx
View patient history including vitals and waveforms from 1 second to 1 year on your PC, tablet, or phone
Patient Hx with Strip Export
Automatically send ECG Electrocardiogram
strips and full trends to your EMR
Alarm Manager
Quickly meet NPSGNational Patient Safety Goals goals, automatically track KPI’s Key Performance Indicatorsacross all monitored patients, and reduce alarm noise at the source
PatMons Alarms
Optimize alarm limits in 2 minutes or less for individual patients
Risk Score Calculator
Expedite the calculation of common risk scores to decrease patient risk
Rapid Research
Triple your research grant output by manipulating and viewing data on the fly using standard development tools
What Our Customers Have To Say
Meet Our Founders to hear more about MIC
Hear CTO, Dr. Rusin, talk about how we are using Sickbay™ and machine learning in critical care environments to create new predictive monitors that forecast patient deterioration hours in advance.
Hear CEO, Dr. Emma Fauss, describe why Sickbay™ is like a GPS for doctors that brings clinical decision support to physicians to help them improve care and outcomes.