Becker's Healthcare July 22, 2022
Noah Schwartz

A new study published in Nature Partner Journals Digital Medicine revealed the barriers to machine learning adoption within clinics; however, the study suggests that clinicians can build trust with machine learning through experience.

The study, led by researchers at Baltimore-based Johns Hopkins University and the University of Wisconsin-Madison, was conducted through a series of interviews with 20 clinicians who used a machine learning system to monitor for sepsis in their practice, according to the July 21 study.

Four takeaways from the study:

  1. Clinicians did not differentiate machine learning from traditional clinical decision support system technology. However, this caused clinicians to misunderstand the internal logic of machine learning.
  2. Clinicians used machine learning systems for both diagnosis and post-diagnosis care. The...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Physician, Provider, Survey / Study, Technology, Trends
Digital Innovation Plus AI Tech Can Future-Proof the Enterprise
The AI frenzy could fall flat as companies hoard chips without enough data centers to host them
New AI drug discovery powerhouse Xaira rises with $1B in funding
EU regulation: AI Act will mean a raft of new requirements for ‘high-risk’ systems
Why nurses are protesting AI

Share This Article