JMIR Publications

ABSTRACT

Background:

While augmented reality (AR) as a concept is not new it is still an emerging technology with a wide range of applications it could provide value for. In the medical field, AR is becoming ever more prevalent but while it has been applied to various medical tasks it is far from commonplace. Radiological imaging has been suggested as one of these applications and the radiology workflow capacity crisis the UK’s National Health Service is experiencing is a potential opportunity for technology to alleviate pressure. Understanding clinical stakeholders and current systems is important for identifying design opportunities for developing AR to enhance interactions and gain more from radiological images.

Objective:

This study had three key aims. Firstly, to build an understanding of the field in the context of augmented reality, secondly, to understand the stakeholders and workflows surrounding radiological images, and finally, to suggest how AR could integrate within these workflows and current practices in order to provide value.

Methods:

We conducted 14 interviews with surgeons and radiologists in a range of specialties and then completed a thematic analysis on the transcripts in order to find trends that suggest what value AR could add to radiological imaging, where that value could be added, and who would benefit. We implemented reflexive thematic analysis to develop themes from across the interviews which were then built on to suggest design implications.

Results:

We find that the need for efficiency in image evaluation is present across many roles regardless of the clinical question, but consultants can be resistant to new potentially helpful technology. In addition, we find that the current capability of AR technology could be of greater benefit to radiologists as opposed to surgeons or other practitioners. We discuss these findings for the development of AR applications and present three design implications which stand as our core contribution.

Conclusions:

We conclude with three design implications for the application of AR within radiological imaging based on the results of our thematic analysis and frame them within the HCI and medical fields. The first design implication highlights efficiency and how AR has the potential to allow for a quicker comprehension and measurements. Secondly, we suggest that the capability of AR tools should complement existing techniques and not simply replicate current ability in three dimensions. Finally, the integration of AR tools with existing workflows is crucial in the uptake of the technology in order to not negatively disrupt practice.