![]() ![]() He explained that on average, it takes a physician 20 minutes (range, 10 to 60 minutes) to create a new patient/clinical note for an electronic medical record (EMR). AI can decrease work and increase rewards today.” “The solution needs to automate redundant, repetitive, scribe-like tasks and automate the clinic workflow. ![]() Gill sees AI as a solution to this crisis. He tied this administrative burden to the sobering reality that over half (54%) of urologists experience burnout, making urologist the occupation with the highest burnout rate among all jobs in the United States. 1 “We spend of our day in the outpatient clinic just ‘hanging out’ with electronic health records,” said Gill. He cited a study showing that 74% of physicians’ time is spent using electronic health records during outpatient sessions. Gill, who is chairman and Distinguished professor of the Catherine and Joseph Aresty Department of Urology, founding executive director of the USC Institute of Urology and associate dean for clinical innovation, began his discussion by highlighting several statistics underscoring the demoralizing impact of the administrative burden on urologists. Fortunately, there is a good potential that AI can do this mundane work for us, leaving us for higher order tasks-the ‘top of the license’ tasks that we went to medical school for,” said Gill during his presentation on AI in urology at the 2023 LUGPA Annual Meeting. And this is because we are doing multiple daily mundane tasks-mundane, repetitive, scribe-like work that just drives us into the ground and takes away the joy of medicine. It did take a while for the staff to get over the different workflow but they now are very excited to learn to work well so that we can see her of our patients better and that we have now a "peaceful practice".“We went to medical school to take care of patients, not to service the computer, which is what we do for a large part of our daily work. It would be nice if they had more YouTube videos on power-physician users on how to get the very best out of deep scribe AI sooner especially learning tips tricks, pearls and pitfall's. They are very responsive and are helping me become the best to getting better. The on-boarding team has been fantastic and I meet with them about every 10 days for their "AI coaching". It does use quite a bit of battery of my iPhone I needed to develop ways to charge my iPhone while still seeing a large number of patients but this is working out seamlessly now. I had to learn a new workflow and sometimes have forgotten to turn on the deep scribe AI and was very frustrated that I had not done it. I still am not satisfied completely with the objective portion but each day gets better and I am very confident very quickly we will learn to maximize the physical exam. At first I was hesitant that it could not keep up but it does a great job especially with medications and medical history. Very similar to having a new medical student or an intern -the deep scribe AI is something that gets better the more I use it and learn its functionality and tendencies. Thank you Deep Scribe AI.Ĭons: I forgot that the reason they call it "machine learning" was that there is a learning curve especially the first 3 weeks. With deep scribe AI I now can pass the pillow test… I can lay my head on my pillow at night knowing all my work is done. I also am encouraged that when a medical legal situation comes up I can better defend my actions/thinking though this synchronous, personalize AI powered chart note. My billing department has complemented my staff and I on helping them to bill cleaner and faster insurance claims and to capture HCC coding to improve accurate RAF scores that will lead to improved reimbursement. I have a fairly high volume of patients so on average it only cost me a little over a dollar per patient to have an amazing clinical chart note that truly "tells the story" for the patient. Having had tens of human scribes that I taught only to have them go on to graduate school I am very excited that Deep Scribe AI does not want to go to medical school. My in-office staff is working better to do what they they do best (emotional support for patients) and I am getting deep scribe AI to do what computers do best (natural language processing with consistency). I have really enjoyed the on-boarding team and I am very excited for the future. It took time to get an optimal workflow figured out. Overall: I believe my life begins when my medical charts are done. ![]()
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