As hospitals collect more and more data, analyzing it is a challenge and an opportunity. Montefiore Medical Center of the Albert Einstein College of Medicine is a case study in how using artificial intelligence in hospitals can help improve outcomes. They’re working with Intel’s Healthcare AI team to develop machine learning algorithms that can see patterns within it. The result, which they call the Patient Centered Analytic Learning Machine or PALM, is continually monitoring things like cholesterol levels, blood glucose levels, heart rate, oxygen levels and more. It’s both learning from this and using AI to predict when respiratory failure, sepsis, or other bad outcomes are likely to occur. Not only can this save lives and keep patients healthy, it also allows patients to be treated faster – saving money and time for the patient, hospitals and health care system.
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