ABOUT

The genesis of an idea.

The Analytic for Hemodynamic Instability (AHI) and ultimately Fifth Eye originated from the idea that clinicians needed a better early warning indicator of an oncoming patient crash using existing physiologic information. The goal was to provide doctors and nurses enough advance notice that they could take action to save the patient’s life.

The beginning.

In 2014 a team of physicians, nurses, data scientists and computer scientists began exploring a data set developed by the U.S. Army that simulated hypovolemia (hemorrhage) on healthy volunteers. Using sophisticated machine learning techniques, the team looked at a variety of patient data streams and ultimately settled on using a single real-time stream of rich, information-dense ECG data to develop a proof of concept analytic that outperformed traditional vital signs in predicting patient deterioration.

From army to academic hospital.

To further develop this concept, the University of Michigan developed a data collection framework, software tools and infrastructure to collect and store a vast dataset of deidentified patient waveform and numeric data. For four years, the Michigan Medicine team, that would eventually become the Fifth Eye team, collaborated with internal critical care experts to do a deep retrospective dive into cases to determine how early the AHI analytic could predict the collapse that led to a Rapid Response Team (RRT) call. Results from their work show AHI consistently and reliably predicts the impending hemodynamic instability minutes to hours and sometimes even days in advance.

The Fifth Eye team deliberately built our early warning system on a single real-time stream of very rich, very information-dense ECG data which is widely used on many different types of patients today. This means that many patients will have the streaming data needed to use AHI – and AHI does not require baseline data and generates a first prediction with just 120 heartbeats of data.

We have used customer-driven product design from the earliest stages. The core technology was developed with frequent and in-depth interactions with doctors and nurses to shape the direction of the technology development.

From academic hospital to the world.

In 2018, Fifth Eye licensed the technology from the University of Michigan in order to transform it into an easy to use and powerful early warning system for clinicians around the world. The Fifth Eye team is completing the product development, preparing for U.S. FDA clearance submission, and working with potential early adopting partners who are interested in being at the forefront of healthcare improvements.

Our team

  • Jen Baird
    Jen Baird CEO, Board Member

    Successful venture-backed serial entrepreneur

  • Jeff Basch
    Jeff Basch CFO

    Broad cross-functional management expertise across multiple startups

  • Mark Salamango
    Mark Salamango CTO

    25+ years leading software product development teams

  • Ashwin Belle, PhD
    Ashwin Belle, PhD Director of Analytics

    Expert data scientist with specialization in signal processing, computational medicine, and machine learning

  • Bryce Benson, PhD
    Bryce Benson, PhD Data Scientist

    Expert in bioengineering, cardiophysiology, signal processing, biomedical data analysis

  • Charlie Moret
    Charlie Moret Board Member

    Over 35 years’ diversified experience in tech based investments, entrepreneurship, banking, business development and marketing

  • Dominic Spadafore
    Dominic Spadafore Board Member

    25+ years of successful management experience in sales and marketing for mid cap and startup companies marketing complex clinical devices and new concept technologies

  • Aelin
    Aelin Chief Canine Officer

    Friend to all. Lover of a power nap.

Our partners

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  • The key value proposition is in accurately predicting problems before they happen to aid in the  recognition and rescue of the deteriorating patient…this makes it a novel next generation monitoring and predicting tool.

    Critical care/ED MD
  • We have a couple of teams dabbling in "early warning" models but they have not distilled it down to a single ECG lead!

    Chief Medical Officer
  • The linkage of an early response team with this technology would have a very high likelihood of being associated with a significant survival benefit.

    Chief Medical Officer
  • This is an amazing breakthrough!  I can see so many applications within the hospital.  I would like to get you connected to our innovation center so that we could be involved in its development.

    Chair, Vascular Surgery
  • Yes, this is a game-changer. The industry absolutely needs a better detection system for hemodynamic instability.

    Chief Medical Officer
  • All I can say is wow! That is awesome.

    Nurse Trainer