Dr. Layla Fakhouri, an internal medicine physician at Georgetown University Medical Center, grapples with the challenge between patient care and the burden of electronic health record (EHR) documentation. She goes home late every night and has been feeling especially burnt out, since charting each patient encounter takes 10-15 minutes and she feels like she spends less time with each patient as a result. Recently introduced to ambient clinical documentation, she envisions a solution where AI generates a clinical note of her encounters, with similar style of her past notes, seamlessly integrating it into the EHR and highlighting pertinent issues.

In addition to completing her clinic notes daily, she also has the daunting task of completing the forms her patients have either dropped off or faxed over to the office. These forms are varied, and range from the metro access forms for accessible transportation, DMV forms for license renewals, FMLA forms for protected time off work to get treatment or to care for a sick loved one, Medical evaluation forms for patients with disabilities, wheelchair forms etc. These forms take on average 15 - 20 mins for completion as she must look through each patient's chart for details . She sees the possibility of leveraging AI to complete these forms and reduce the demand it places on her already very busy schedule.