Getting from ‘blob’ summary to problem based insights. It got much better: ‘Revolutionary’. Now at 290 users. Surveying for usefulness.
Way to determine the value of this summary? Looking at usage. Else what is the point?
Outcomes
Powerful outcomes. Concise, burden reducing. Accurate. CT observation today: Ok we need this.
Draft hospital course. Compared to human written prior to go live. Now about 500 users. LLM did better than human in every category.
So helpful to see Mayo’s analysis plan: value, maturity, scalability. token limit problem early on. Now able to see many more notes to summarize. Including notes prior to cosignature. Important else missing data. How does this overlap with inpatient insights.
Success!
About 500 pilot users. initially providers but now all clinical staff. Nutrition, PT, RN. Could take 5-10 minutes to generate a summary in morning if many requested at once.
Downward trend of use? Unknown why.
Impressive work.
