Two Healthcare AI Pilots Detail Results in Note-Taking and Chart Review

The transformative potential and power of generative artificial intelligence (AI) in clinical documentation and note-taking is undergoing intense evaluation in the field. Meanwhile, other hospitals and health systems are exploring ways to use AI in patient record reviews to aid clinicians in making diagnoses and provide greater visibility to improve patient care.

According to digital health consulting firm AVIA, the use of AI technologies is starting to show demonstrable results in terms of patient care, operational efficiency, and outcomes. AVIA blog It describes how a large academic medical center in the Midwest used an environment documentation program that showed a reduction in average minutes of notes per appointment and per day for providers using the solution, while also reporting an increase in monthly appointments.

Among the Results:

• For providers used the vehicle for more than 40% of their appointmentsThere was a 29% decrease in both the average minutes of notes taken per appointment and the average minutes of note-taking per day.
• The same high users increased monthly appointments by 7% and a higher level of service has been achievedThe report included the following statements:
• All providers said they want to continue using the solution after the pilot episode.

The blog also features results from a large regional healthcare system in the western United States that used AI to simplify the process of analyzing patient records, synthesizing patient information, and ensuring correct coding.

The use of the AI ​​solution led to increased case mix index and complication/comorbidity capture. It also accelerated the revenue cycle workflow and reduced both denial appeals and administrative burdens, saving clinicians an average of 10 minutes per patient per day on follow-up documentation.