Medical researchers continue to become more and more interested in artificial intelligence‘s (AI) potential to improve healthcare. Becker’s Health IT brought this interesting information to our attention in their article, “4 recent studies exploring AI in healthcare.”
There have been a variety of AI applications as healthcare becomes more and more digital. Many have involved electronic health records (EHRs) as well. However the one that caught our eye addressed pre-surgical duration and wait time by using predictive models.
Can the implementation of a predictive model improve accuracy in predicting the duration of scheduled surgical procedures, and how does this potential improvement affect patient wait time, time between cases, and use of pre-surgical resources?
A random clinical trial revealed the implementation of a machine learning model significantly improved case duration accuracy, reduced patient wait time, effected no change in time between cases and reduced the use of presurgical resources.
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Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.