Month: April 2021

The Rising Need For AI Powered Patient Monitoring

Imagine a world in which healthcare services monitor population health via wearables, delivering real-time continuous data on everything from movement and sleep to vital signs, such as beat-by-beat blood pressure, heart rate, temperature and respiratory rate.

The data is constantly analyzed by artificial intelligence (AI), creating a perpetually updated picture to guide clinical research and decision making, and flag up early signs of deterioration in any individual’s health, to enable timely intervention and a better likelihood of cure.

As a result of AI powered patient monitoring, hospitals are less crowded, the spread of infection is reduced, medical staff are not overloaded with administrative tasks and can focus more of their time on patient care, and patients receive better outcomes due to the sharing of data gleaned from a world of connected monitoring.

This picture is the way global healthcare is moving, with governments and private investors focusing heavily on the adoption of AI. So how can this technology help us meet the coming healthcare challenges posed by a rising and ageing population, the risk of further pandemics and a growing deficit in medical professionals?

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Hypotensive Events and Patient Safety: Why Beat-By-Beat Blood Pressure Matters

Acute hypotensive events (AHE) are among the most severe threats to intraoperative and postoperative patients. Monitoring blood pressure is, therefore, a critical function for patients, not only in the operating room and ICU but also in the postoperative wards.

An AHE is defined as a drop in the mean arterial pressure below 65 mm Hg, lasting five consecutive minutes of more. It can be the sign of a serious problem, such as bleeding, sepsis, adrenal insufficiency, or cardiac issues. Not surprisingly, it is associated with adverse outcomes in critically ill patients, such as stroke, heart attack, and kidney failure.

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