Fifth Eye: Intelligent Patient Monitoring using Predictive Analytics

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.