Monitoring the status of critically-ill patients in hospital is an essential task often complicated by the need to make tough, high-stake decisions under pressure.
According to a new study, algorithms could soon fill the role instead. Researchers propose software could be trained to accurately and reliably spot changes in a person'sfrom simple physiological markers that are already being logged as a matter of course.
It's still early days in devising such technology, but preliminary results suggest it's a feasible approach – and it would be relatively easy and affordable to roll out in most intensive care units . It could potentially be installed in bedside monitoring equipment, supplementing the examinations of medical professionals.
The researchers built an algorithm to track feeds from a range of emergency room sensors, including those measuring heart rate, breathing rate, brain temperature, and blood oxygen levels. Importantly, these stats can be monitored constantly, without the patient needing to be alert or awake. However, the potential is there: existing methods for checking up on patients can take substantial amounts of time and can only be performed intermittently. Many also require the patient to be responsive, or need expensive equipment. This promises to solve all those problems.
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