
Using AI for Surgery Pre-Authorization
Identifying and outlining documentation for surgery pre-authorizations.
RFA Innovation Awards

Identifying and outlining documentation for surgery pre-authorizations.

Automating follow up to a positive BH screen in 6-11 year old patients within primary care by distributing, collecting and scoring ADHD, Depression and Anxiety questionnaires directly within the EHR.

Enable rheumatology providers to identify patients who could be seen by telehealth rather than in-person at their next follow-up appointment.

Implement a real-time OPAT patient dashboard to facilitate earlier hospital discharge and automate the process of early post-discharge follow-up.

Develop and validate a machine learning algorithm capable of predicting patient need for spinal surgery or non-operative management utilizing elements from the electronic health record.

Optimize the process and enhance the efficiency of quality measure reporting to removes unnecessary burden from clinical staff.

Automating PFT interpretation

Optimize patient placement and individual team member assignment

Optimize, implement, and evaluate the PING (Patient Initiated Note about Goals).