Fifth Eye: Intelligent Patient Monitoring using Predictive Analytics
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Fifth Eye: Intelligent Patient Monitoring using Predictive Analytics

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Jennifer Baird,  CEO, Fifth Eye Jennifer Baird, CEO, Fifth Eye
Healthcare organizations are searching for ways to reduce nursing workload and cognitive burden while simultaneously improving surveillance to accelerate awareness of emerging health problems in patients. The goal is to enable clinicians to make timely diagnoses and interventions that avoid crises. Additionally, hospitals are also seeking indicators to help confirm when patients are ready to be moved from intensive to lower levels of care in a safe and timely fashion. Michigan-based Fifth Eye Inc. is making this a reality with its artificial intelligence-based patient health monitoring system that can detect and predict hemodynamic instability. The AI solutions provider began its journey in 2014 when the Michigan emergency medicine department was exploring ways to improve healthcare and exhibited promising results on the research front. This resulted in the inception of Fifth Eye Inc. — a company that developed easily deployable medical device software and was awarded an FDA De Novo grant in March 2021 for its first-generation product, the Analytic for Hemodynamic Instability (AHI). Fifth Eye followed rapidly with its second-generation product, the AHI System™, which was FDA cleared in December 2021. The AHI System incorporated the company’s second analytic, the AHI Predictive Indicator (AHI-PI).

Unlike other existing solutions that solely depend on vital signs or EHR records to analyze patterns in the patient’s health, Fifth Eye’s AHI System automatically collects data and updates the hemodynamic status of patients every two minutes. “At Fifth Eye, our technology has enabled the application of hemodynamic instability as a new vital sign. We’re empowering clinicians with new information leading to proactive patient re-evaluation rather than costly crisis care,” explains Jennifer Baird, CEO, Fifth Eye Inc. The AHI System provides clinicians with continuously updated, easy-to-interpret information including trends of patients’ hemodynamic status and predictions of the risk of future episodes of hemodynamic instability. Importantly, the AHI System predicted 89% of first episodes of hemodynamic instability with a median lead-time of 48 minutes ahead of continuously monitored vital signs. This early awareness of emerging problems can provide clinicians with the time that they need to diagnose and intervene, potentially avoiding an adverse event.

AHI works on the underlying science of the autonomic nervous system activity by leveraging known relationships between cardiac rhythm, heart rate variability, and patient compensatory mechanisms. It is clinically validated to sift through the noise and spot the hidden ECG patterns associated with hemodynamic instability that could indicate emerging signs of shock, and autonomic nervous system compensation.

This technology was developed using supervised machine learning with a dataset labeled by clinicians and validated with data from multiple hospitals. The AHI system uses streaming ECG data from existing patient monitors with sampling frequencies ranging from 120 to 1000 samples per second to continuously produce indications of current and future hemodynamic status for each patient, updated every two minutes. The company provides up to three days’ worth of trended data for each patient that enables clinicians to see a pattern in the patients’ trajectory and make appropriate decisions. The most important aspect of this monitoring is that it uses only a single non-invasive lead of streaming ECG with no manual inputs or special hardware required.

The AHI System is typically deployed as a hospital-wide surveillance tool, largely beneficial in emergency departments, telemetry units, ICUs, and even in the general ward with a patch-based ECG. The data is seamlessly extracted from patient monitors in real-time and securely shipped to a hospital-specific cloud infrastructure where major processing takes place in a matter of seconds. This post-processed data is then delivered to the user base and relayed onto display monitors, phones, computer screens, or any device with an internet browser. The data is presented in a traffic light-like system where green, amber, and red lights denote respective future risks of hemodynamic compromise in a patient. “We store and protect the data for each hospital separately so that we don’t run any risk of data breaches,” explains Jennifer.

Conventional clinical-decision support tool providers utilize multiple types of data points from electronic health records (EHR). Leveraging a wide array of data from EHR to design a machine-learning algorithm that predicts patient health potentially yields incorrect results as the information is inherently delayed and dependent on clinician’s manual inputs. In contrast, Fifth Eye uses real-time data streaming from the patient’s body and provides a continuously monitored system that doesn’t burden clinicians and is easy to use. One such example of an effective and effortless use case is when AHI was used on a young patient with no comorbidities who was brought to the emergency department with shortness of breath and deep vein thrombosis. In this patient, AHI was credited in helping identify signs of instability that were caused by an undiscovered massive pulmonary embolism, which was then treated in a timely manner, likely saving her life.

  • At Fifth Eye, our technology has enabled the application of hemodynamic instability as a new vital sign. We’re empowering clinicians with new information leading to proactive patient re-evaluation rather than costly crisis care


With its advanced patient care platform, Fifth Eye is set to alleviate nursing workload and empower healthcare organizations to get the most out of artificial intelligence in the medical sector. The company also looks forward to extending its analytics to be more specific for particular diagnostic areas by working alongside clinicians and researchers, thereby contributing to improved healthcare.
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Fifth Eye

Company
Fifth Eye

Headquarters
Ann Arbor, MI

Management
Jennifer Baird, CEO, Fifth Eye

Description
Fifth Eye provides clinicians unique, real-time information on patient status to avoid a crisis via early awareness and intervention of emerging problems. The company's flagship offering, the AHI System, is the first and only FDA-cleared software that leverages an analytic to continuously detect and predict the risk of future episodes of hemodynamic instability 48 minutes ahead of vital signs. Unlike many early warning systems that require manual inputs of vital signs or EHR data, Fifth Eye's AHI system automatically collects data from a continuous ECG signal alone and converts it to hemodynamic status every two minutes. Thus, the AHI System reduces nursing surveillance burden and potentially reduces adverse events by raising awareness of the hemodynamic trajectory of every hospital patient.