AI-Based Algorithms Saving Lives Affected by Hemodynamic Instability
What is Hemodynamic Instability
Hemodynamic instability is defined as one or more out-of-range vital sign measurements like low blood pressure or abnormal heart rate (arrhythmias). It can result in chest pain, cold extremities, loss of consciousness, shortness of breath, and even death.
Being a common COVID-19 complication in adult patients, the importance of recognizing patients at risk of hemodynamic instability has hit a more critical point than ever.
Clinicians favor using the most common vital signs of heart rate and blood pressure to diagnosis their patients.
However, they are often busy doing multiple patients at a time and can miss the disease.
Making it one of the most common causes of death in critically injured patients.
But multiple companies are working on AI solutions to prevent that, with Fifth Eye creating “Analytic for Hemodynamic Instability (AHI)” and Clew Med creating “CLEWICU”
Let’s take a dive into the two.
Analytic for Hemodynamic Instability (AHI)
Fifth Eye is a venture capital-backed startup that created the non-invasive clinical tool AHI.
The system uses a single lead of electrocardiogram (ECG) to recognize hemodynamic deterioration well before it is outwardly evident.
According to the company, it’s the first solution to establish real-time streaming data for early onset hemodynamic instability.
A research study in the International Journal of Medical Health Sciences was awarded “Best Paper” at the 2020 International Conference on Health Analytics.
The company is now awaiting approval from the U.S. Food & Drug Administration before marketing it to other health systems.
CLEWICU
In February 2021, the U.S. Food and Drug Administration (FDA) approved “CLEWICU,” an AI-based, first-of-its-kind solution for ICUs.
Developed by Tel Aviv-based CLEW Medical with claims that the system provides notification of clinical deterioration up to eight hours in advance – enabling prompt, proactive patient care.
CLEWICU constantly monitors and categorizes a patient’s risk level, providing doctors with physiological insight into a patient’s likelihood of future hemodynamic instability.
What Does This Mean for Hemodynamic Instability
These two AI-based solutions provide preemptive and potentially life-saving information that reduces alarm fatigue and improves clinical outcomes.
The machine-learning models are trained to identify the likelihood of occurrence of significant clinical events for ICU patients using patient data input from various sources and run through an AI-based algorithm.
The data is analyzed in near real-time to present calculated insights and notifications for dedicated AI models which provide a picture of a unit’s overall status.
Low-risk patients unlikely to deteriorate are also identified, enabling more optimized ICU resource management.
AI, machine learning, and deep learning tools allow physicians to manage the massive amount of patient data, then diagnose health problems like hemodynamic instability, atrial fibrillation and arrhythmia.
This is just one example of the strides being made in the healthcare industry. Check out 3 ways AI is revolutionizing intensive care of critically ill patients
Healthcare isn’t the only area where AI is taking massive strides. Check out our article on how AI can make anyone a pro dancer.
RediMinds are working on numerous exciting AI projects right now, helping businesses and healthcare provides change the face of their industries.
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