Google, the technology giant of America has tied up with over 70 hospital networks in America to develop a doctor decision influencing AI by analyzing more than 32 million patient records.
A healthcare-based algorithm has been in development since 2018 for which data related to over 32 million patients from different streams has been accessed, stored, and analyzed by the Alphabet Inc subsidiary.
The aim is to build a machine learning algorithm that assists doctors in making their decisions over patient’s health in a faster and more precise way.
Cybersecurity Insiders has learned that Google will be using the services provided by HCA Healthcare, a Nashville-based company that consolidates and stores patient information obtained from digital health records and medical equipment.
Technically speaking, a program that is being developed by HCA will from now on gain the assistance of Google’s Artificial Intelligence technology to help doctors offer the best treatment advice to their patients on a respective note.
Over 2000 care sites and 186 hospital networks are being operated by HCA and to utilize the massive loads of data generated from different streams, the company will be using the highly scalable AI cloud platform of Google to analyze over 32m records every year.
Google will be blocked from accessing patient identifiable information and so a breach of data privacy doesn’t arise says HCA.
HCA was using the same tech to treat severely infected COVID 19 patients from Nov 2020 to Jan 2021 and so is planning to implement the same on other treatment-related data sets.
The post Google to influence doctor decisions in the USA with AI-driven patient data appeared first on Cybersecurity Insiders.
May 27, 2021 at 10:40AM
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