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Amazon Comprehend Medical
https://aws.amazon.com/blogs/machine-learning/introducing-medical-language-processing-with-amazon-comprehend-medical/
Unlocking this information from medical language makes a variety of common medical use cases easier and cost-effective, including: clinical decision support (e.g., getting a historical snapshot of a patient’s medical history), revenue cycle management (e.g., simplifying the time-intensive manual process of data entry), clinical trial management (e.g., by identifying and recruiting patients with certain attributes into clinical trials), building population health platforms, and helping address (PHI) requirements (e.g., for privacy and security assurance.)
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https://www.wsj.com/articles/amazon-starts-selling-software-to-mine-patient-health-records-1543352136
“We’re able to completely, automatically look inside medical language and identify patient details,” including diagnoses, treatments, dosage and strengths, “with incredibly high accuracy,” said Matt Wood, general manager of artificial intelligence at Amazon Web Services.

During testing, the software performed on par or better than other published efforts, and can extract data on patients’ diseases, prescriptions, lab orders and procedures, said Taha Kass-Hout, a senior leader with Amazon’s health-care and artificial intelligence efforts.

Users upload health records to Amazon’s cloud service, where they can run the text-processing software. Amazon’s algorithms analyze text for specific types of data and return the results in an organized format, similar to a spreadsheet.
amazon  amzn  aws  ai  machine  learning  artificial  intelligence  medical  unstructured  structured  data  mining  language  processing 
november 2018 by yencarnacion
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