Ambient virtual scribes: Mutuo Health's AutoScribe as a case study of artificial intelligence-based technology.

Studies show that clinicians are increasingly burning out in large part from the clerical burden associated with using Electronic Medical Record (EMR) systems. At the same time, recently developed health data analytic algorithms struggle with poor quality free-text entered data in these systems. We developed AutoScribe using artificial intelligence-based natural language processing tools to automate these clerical tasks and to output high-quality EMR data.

Educational approaches for improving physicians' use of health information technology.

The benefits of Health Information Technology (HIT) depend on the way they are being used. Education and training are often needed to move from basic to advanced, value-adding, use. In this article, we describe three educational approaches that can help in achieving this goal: "productive failure," video tutorials, and simulation.

Computers in the clinical encounter: a scoping review and thematic analysis.

Objective: Patient-clinician communication has been associated with increased patient satisfaction, trust in the clinician, adherence to prescribed therapy, and various health outcomes. The impact of health information technology (HIT) on the clinical encounter in general and patient-clinician communication in particular is a growing concern. The purpose of this study was to review the current literature on HIT use during the clinical encounter to update best practices and inform the continuous development of HIT policies and educational interventions.