Session ID: 

Transforming EHR Interactions Using Voice Assistants

2:30pm - 3:30pm Wednesday, February 13
Orlando - Orange County Convention Center


Vanderbilt University Medical Center has developed a voice user interface prototype for the electronic health record (EHR). This interaction modality allows caregivers to naturally interact with the EHR through speech and easily surface information needed for patient care. Using artificial intelligence and natural language processing, the Vanderbilt EHR Voice Assistant (V-EVA) accepts voice request inputs, translates voice into text and then uses the natural language understanding engine to map the text to intents and synthesize results. V-EVA returns results to the user as voice replies, textual information and graphical data representations. These design principles support the busy caregiver workflow and decrease the EHR burden on providers.

Learning Objectives: 

  • Discuss the value of artificial intelligent (AI)-enabled natural language processing and understanding technologies in the advancement of healthcare
  • Discuss the limitations of current keyboard and mouse workflows in the EHR
  • Describe the usability design considerations, information request mapping and artificial intelligence/natural language understanding platform built to process voice requests
  • Discuss the provider cohort experience and outcomes around satisfaction and task-time savings


Associate Director Vanderbilt University Medical Center HealthIT,
Vanderbilt University Medical Center
Core Design Advisor,
Vanderbilt University Medical Center


Clinical Informaticists