Rapidly scale ICU beds and staff and create the foundation for a new standard of care

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

What Our Customers Have To Say

It is important to look retrospectively at what was done to a patient and look for an inciting event to prevent it from happening in the future. For example, when examining ventilator events like desaturations or loss of EtCO2 that leads to cardiac arrest, the physician examines various signals. Although one can obtain this information from the vent, the timestamps do not align across monitors. When correlating signals from different monitors, you can not get them on the same screen. Sickbay™ Patient Hx allows for all signals at exactly the same time.

- Director of Quality Improvement

In the past if I was worried about a few kids, I would have to call the nurse and ask her for information or walk to the unit and see them. With Sickbay™, I have a new way of observing patients in real-time. This saves me time, allows me to augment the care for the patient that is happening on the floor of the unit and ultimately can provide better patient safety and outcomes. It has revolutionized the way I think about patient monitoring.

- CVICU Physician

At the bedside, the order and trending of patient signals are important. For example, if oxygen drops before blood pressure, it indicates a different issue than blood pressure dropping before oxygen. Patient Hx allows for these patterns to become clearer.

- CVICU Director

I can now remotely view ventilator data for patients. This is something that I previously could only do at the bedside. Now, I can call up a patient of interest on my computer in my office, and observe their recovery or deterioration.

- Director of Anesthesiology

The current patient monitors look for simple patterns and offer limited access to the data they produce. Vendors offer some data recording or data analysis capabilities. However, none offer the scale and power of the Sickbay™ platform.

- Anesthesiologist

I recently had a single-ventricle patient that showed a jump in heart rate from 90 bpm to 160 bpm, with arrhythmia. Unrecognized, this event is life-threatening. Fortunately, while reviewing these events with Patient Hx, I was able to apply medications to the patient when I arrived that morning and monitor the intervention remotely.

- Fellow, CVICU

God bless our nursing staff for having to document in the EMR. But I live and die by waveforms. And not just a snippet. I need to see the entire waveform and what led to an event to determine an intervention or root cause. Patient Hx allows that. It should be mandated in every hospital in the country. We just shouldn’t be practicing medicine without it.

- Director of PICU

We have to document a number to justify a procedure. Now I don’t have to worry about writing something down, or remember, I just focus on what I’m doing for the patient and then after the flurry of intervention is over, I can go to Patient Hx to see exactly when it happened and document more accurately.

- CVICU Nurse

In a single minute I have to process over 300 data points and sometimes I process it wrong. Machines aren’t going to make the decisions for me, but I need them to help me interpret all of that data faster so I can make the best decision and not lose patients because of lack of data. Sickbay™ helps me do that.

- Chief of Staff

I recently had a patient that was being transferred from the ICU to step down. During transport the patient crashed and came to the OR. The problem was all patient data had been deleted when they were discharged from the monitor. I needed to know what the order of events were. What started first? Was it cardiac, was it respiratory? Thankfully our hospital had Sickbay™ so I was able to go into Patient Hx and in under 2 minutes figure out the root cause.

- Surgeon and Cardiologist

Patient Hx allows me to look at actual patient trends. Everyone has rose colored glasses when documenting for the chart but the patient looks how they look and the trends and the waveform don’t lie.

- Charge Nurse, ICU

Patient Hx lets me look minute my minute and ask “are there warning signs?” I was looking at a patient near death’s door. At 3 o’clock their heart rate went up, and never came down. Why didn’t it come down? At 7pm, there was an event and the patient passed away. What was going on before then? I need to know when a patient is about to die, so I can prepare. What does that look like? Patient Hx can help me find those answers.

- Cardiologist

Patient Hx validates what is happening at the bedside. Last week I walked into the room and all the monitors had been shut off.. Looking back on Patient Hx I was able to see the exact time when the monitors were pulled off and also able to see that the shape of the waveform was bad but the numbers were ok. I could tell when the pulse ox stopped picking up and what time we were in the room. The numbers and waveforms made it clear the patient had not had a sentinel event. And I had all the evidence to back this up and even send the complete history to the EMR.

- Nurse Manager, PICU

Strip charting was a constant headache at our hospital. The manual printing and scanning process is of course labor intensive but the bigger issue is trying to get issues to bedside staff and providers faster from our tele techs to expedite intervention. And then there is the reimbursement issue. We had a change in our practices and staffing that was preventing the strips from even being scanned which HIM department quickly realized meant thousands in lost revenue. Automating the process for strip charting with Patient Hx is a game changer. Less manual workload, more money for the hospital, and more important than anything is reduced patient risk.

- Telemetry Charge Nurse

Meet Our Founders to hear more about MIC

Craig Rusin, PhD
Chief Technology Officer
2017 Rice University Machine Learning Conference

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.

Emma Fauss, PhD, MBA
Chief Executive Officer
Dell EMC Interview at HIMSS

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.

Request a Demo to Learn More

Bring Sickbay™ to Your Facility Now

Intel and MIC, an Intel Capital portfolio company, are collaborating to help fund deployments of MIC's FDA-cleared Sickbay™ Platform under the Scale to Serve Program as part of Intel’s $50 million Pandemic Response Technology Initiative.

The program helps hospitals set up the foundational infrastructure needed to rapidly scale virtual care workflows across the organization and enable patient-centered AI at scale. Hospitals across the country are also leveraging Sickbay™ to simplify the architecture and leverage data to reduce costs, increase revenue, and improve operational efficiencies.

The funding program has been updated in 2021 to go beyond pandemic needs and offer client facilities financial support provided by Intel in the form of “credits” against MIC fees for software products and services to use toward a project installed at the client site.