cageymaru
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Amazon AWS has announced Amazon Comprehend Medical to leverage the power of its new HIPAA-eligible Machine Learning expertise to perform medical language processing on unstructured medical text to identify information such as patient diagnosis, treatments, dosages, symptoms and signs, and more. This will allow health care providers, insurers, researchers, and clinical trial investigators as well as health care IT, biotech, and pharmaceutical companies to improve clinical decision support and clinical trials management.
Amazon has been working closely with Seattle's Fred Hutchinson Cancer Research Center to identify patients for clinical trials who may benefit from specific cancer therapies. The Amazon Comprehend Medical system can evaluate "millions of clinical notes to extract and index medical conditions, medications, and choice of cancer therapeutic options, reducing the time to process each document from hours, to seconds."
"Curing cancer is, inherently, an issue of time," said Matthew Trunnell, Chief Information Officer, Fred Hutchinson Cancer Research Center. "For cancer patients and the researchers dedicated to curing them, time is the limiting resource. The process of developing clinical trials and connecting them with the right patients requires research teams to sift through and label mountains of unstructured medical record data. Amazon Comprehend Medical will reduce this time burden from hours per record to seconds. This is a vital step toward getting researchers rapid access to the information they need when they need it so they can find actionable insights to advance lifesaving therapies for patients."
Amazon has been working closely with Seattle's Fred Hutchinson Cancer Research Center to identify patients for clinical trials who may benefit from specific cancer therapies. The Amazon Comprehend Medical system can evaluate "millions of clinical notes to extract and index medical conditions, medications, and choice of cancer therapeutic options, reducing the time to process each document from hours, to seconds."
"Curing cancer is, inherently, an issue of time," said Matthew Trunnell, Chief Information Officer, Fred Hutchinson Cancer Research Center. "For cancer patients and the researchers dedicated to curing them, time is the limiting resource. The process of developing clinical trials and connecting them with the right patients requires research teams to sift through and label mountains of unstructured medical record data. Amazon Comprehend Medical will reduce this time burden from hours per record to seconds. This is a vital step toward getting researchers rapid access to the information they need when they need it so they can find actionable insights to advance lifesaving therapies for patients."