The Institute for Clinical and Translational Research (ICTR) Learning Health System (LHS) team recently published the results of their randomized control trial in the New England Journal of Medicine Artificial Intelligence. The study explored how Ambient AI software can assist with documenting patient notes during clinical encounters, and its potential benefits for clinicians’ workflow and well-being.
The research was published in two companion articles:
- The first introduced a framework and guidelines to test, track, and measure how Ambient AI works in everyday care.
- The second examined the impact of Ambient AI on clinician burnout and overall well-being.
The findings show promising results for improving both efficiency and practitioner wellness. The software also benefits patients by allowing health care practitioners to focus more fully on them during visits. “They can focus on diagnosis, treatment, and bonding with the patient,” said Dr. Joel Gordon, chief medical information officer, UW Health.
Read more about this study in UW Health’s press release.
The LHS initiative is a collaborative effort between the ICTR, UW Health, and the Marshfield Clinic. It strives to improve health care delivery through a data-driven, implementation-focused approach to overcome inefficiencies in the health care system.
To learn more about ICTR’s Learning Health System, visit the program page and listen to the new LHS podcast. Be sure to stay up to date on the latest news from ICTR LHS by subscribing to its quarterly newsletter.
The project described is supported by UW Health and the Clinical and Translational Science Award (CTSA) program, through the NIH National Center for Advancing Translational Sciences (NCATS), grant UL1TR002373.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.