Watson supercomputers help synthesize medical information faster

People with diabetes need emergency medical support if the blood sugar is abnormally high or low, patients with heart disease need emergency care as quickly as possible when having heart problems. CVS Pharmacy has collaborated with IBM to apply Watson supercomputers in early diagnosis of health conditions for patients.

People with diabetes need emergency medical support if the blood sugar is abnormally high or low, patients with heart disease need emergency care as quickly as possible when having heart problems. CVS Pharmacy has collaborated with IBM to apply Watson supercomputers in early diagnosis of health conditions for patients.

Watson supercomputing application in health diagnosis for patients

Chronic diseases such as high blood pressure, heart disease, diabetes and obesity are the leading causes of death in the United States, each year the country spends more than $ 2900 billion on medical treatment for patients, IBM. said. If you have periodic follow-up of a condition before something dangerous happens, many patients will not need to go to emergency. But it is very difficult for doctors to monitor the patient 's medical records , even in many cases, doctors are not allowed to see that information.

Picture 1 of Watson supercomputers help synthesize medical information faster

With the new project, CVS Pharmacy will provide the Watson supercomputer with 70 million records of patients they are managing. When patients go to clinics in the 1000-world medical facility system that shares the same system with CVS, Watson will statistically diagnose illnesses, medical history, prescriptions . . to doctors. have the most general view of the patient's health status , thereby saving diagnostic time as well as giving more accurate course data.

The system also coordinates with Watson's Health Cloud, Watson's cloud computing health platform to share patients' medical information, which can help predict and prevent bad conditions. can happen.

Update 16 December 2018
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