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. In this article, we describe the benefits and drawbacks of our technology. Furthermore, we describe how we are positioning our company's culture within the existing healthcare system and suggest steps leaders of the system should consider in order to ensure that potentially transformative artificial intelligence-based technologies like ours are optimally adopted.

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. We describe the rationale behind these approaches, their strengths, and limitations and illustrate their application, respectively, to three problems associated with the use of HIT in clinical practice: improving data quality within Electronic Medical Records (EMRs) at the point of data entry, use of advanced EMR features for chronic disease management, and impact of the EMR on patient-clinician communication. We conclude that, while these approaches are promising, there is a need for innovation and diversity of educational approaches to address use of advanced HIT features, identified challenges with HIT, and usage in context-as well as for rigorous evaluation.

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.

METHODS

We conducted a literature search of four databases. After removing duplicates, reviewing titles and abstracts, performing a full-text review, and snowballing from references and citations, 51 articles were included in the analysis. We employed a qualitative thematic analysis to compare and contrast the findings across studies.

RESULTS

Our analysis revealed that the use of HIT affects consultations in complex ways, impacting eye contact and gaze, information sharing, building relationships, and pauses in the conversation. Whether these impacts are positive or negative largely depends on the combination of consultation room layout, patient and clinician styles of interaction with HIT as well as each other, and the strategies and techniques employed by clinicians to integrate HIT into consultations.

DISCUSSION

The in-depth insights into the impact of HIT on the clinical encounter, especially the strategies and techniques employed by clinicians to adapt to using HIT in consultations, can inform policies, educational interventions, and research.

CONCLUSION

In contrast to the common negative views of HIT, it affects the clinical encounter in multiple ways. By applying identified strategies and best practices, HIT can support patient-clinician interactions rather than interfering with them.