Doctors, researchers, and companies have made big promises about how machine learning and AI may someday change medicine. But a particularly American issue may be holding doctors and data scientists here back: electronic medical records.

Machine learning algorithms only work if they have data — lots and lots of data. The conclusions they draw about what might happen to a particular person will generally only work if an algorithm has been trained with a bunch of records of people who have some similar characteristics. And especially in the traditional “doctor’s office,” companies that want to work on AI and machine learning must somehow pull in information from a plethora of EMRs — a burden not often seen in other countries.

Unlock this article by subscribing to STAT Plus and enjoy your first 30 days free!

GET STARTED

What is it?

STAT Plus is STAT's premium subscription service for in-depth biotech, pharma, policy, and life science coverage and analysis. Our award-winning team covers news on Wall Street, policy developments in Washington, early science breakthroughs and clinical trial results, and health care disruption in Silicon Valley and beyond.

What's included?

  • Daily reporting and analysis
  • The most comprehensive industry coverage from a powerhouse team of reporters
  • Subscriber-only newsletters
  • Daily newsletters to brief you on the most important industry news of the day
  • Online intelligence briefings
  • Frequent opportunities to engage with veteran beat reporters and industry experts
  • Exclusive industry events
  • Premium access to subscriber-only networking events around the country
  • The best reporters in the industry
  • The most trusted and well-connected newsroom in the health care industry
  • And much more
  • Exclusive interviews with industry leaders, profiles, and premium tools, like our CRISPR Trackr.

Leave a Comment

Please enter your name.
Please enter a comment.

  • STAT+ paywalled, but I bet I could almost write this. “Interoperababble” has long been a peeve of mine at khit.org. EHR Data heterogeneity remains a huge barrier, “APIs” notwithstanding.

A roundup of STAT’s top stories of the day in science and medicine

Privacy Policy