Becker's Healthcare July 22, 2022
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:
- 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.
- Clinicians used machine learning systems for both diagnosis and post-diagnosis care. The...