Success Stories
Bringing Loving Care to Health Care
Mayo Clinic: Employing Predictive Analytics to Improve Results
AI has being used by the Mayo Clinic, which is renowned for its innovative approaches to patient care and medical research, to enhance patient outcomes using predictive analytics. The Mayo Clinic’s AI systems are able to forecast the probability of patient problems and readmissions by evaluating large amounts of patient data. Healthcare practitioners can take early action thanks to this proactive strategy, which lowers readmission rates and improves patient satisfaction.
According to a research in The Lancet, the Mayo Clinic used AI to identify high-risk patients and tailor therapies, resulting in a 30% decrease in hospital readmissions. By preventing needless hospital stays and lowering total healthcare costs, this proactive approach eventually improves the patient experience.
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AI in Radiology at Mount Sinai Health System
When it comes to using AI into radiology, Mount Sinai Health System has taken the lead. Mount Sinai’s AI system uses deep learning algorithms to evaluate medical images effectively, helping radiologists diagnose neurological problems, breast cancer, and pneumonia. Better patient outcomes result from this as it expedites the process of diagnosis and guarantees accuracy.
Mount Sinai’s AI system outperformed human radiologists, who achieved an accuracy of 82.9%, in diagnosing pneumonia from chest X-rays, according to a research published in Nature Medicine. Since patients are aware that they are getting the most precise diagnosis possible, this high degree of accuracy increases patient happiness and trust.
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