Automated Machine Learning in Healthcare [Infographic]

Healthcare organizations are increasingly adopting AI to improve the patient experience, along with business outcomes. According to PWC Global, AI is transforming healthcare organizations with improvements to the early detection of diseases, research, training, and more. Medical groups that adopt AI can treat patients quickly and effectively while saving time, money, and resources.

The infographic below shows common use cases for AI implemented by medical and research facilities to:

  1. Improve Service Quality

  2. Reduce Costs

  3. Improve Patient Outcomes



Learn more about AI in healthcare at the HIMSS Global Conference and Exhibition from February 11-15 in Orlando, FL. Visit DataRobot during the event at Kiosk 34 and attend our session “Designing a Successful Citizen Data Science Strategy for Healthcare” on Wednesday, February 13th in the Orange County Convention Center, Room 203B.

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About the Author:

Nathan Patrick Taylor is currently serving as a Customer Facing Data Scientist at DataRobot.  Prior to joining DataRobot, Nathan was the Director of Data Science and Analytics at Symphony Post-Acute Network. He has experience using Microsoft Power BI, PowerApps, and Flow since their inception, and has also integrated DataRobot with Tableau, Qlik, Alteryx, and SnowflakeDB (all DR partners). Nathan completed his Bachelor of Science in Computer Science at Huntington University and is currently working on his Ph.D. in Health Science at Northern Illinois University. As for personal interests, when Nathan is not behind the keyboard, you can find him stalking the tennis courts or watching Federer and Nadal on TV.