Do medical professionals tag images differently from non‐medical professionals? An implication of retrieving user‐generated images of everyday medical situations

Abstract

Mobile photography not only allows people to take and share photos of everyday life, but also demonstrates the capability of emergency and crisis reporting at a critical moment. These images of everyday medical situations help the public understand the first-hand situation of those dramatic events, and facilitate the medical professionals to allocate medical resources and effectively diagnose. However, as the world is becoming more globalized and the communication between physician and patients is becoming more difficult as the healthcare practice becomes more complex, to be able to more effectively retrieval these usergenerated images scattered throughout the Internet is of great importance. Social tagging is one such approach of managing and discovering photos for specific use. In response to the research gap and practical challenges, this study employs between-subject quasi-experiment method to investigate the tagging behavior of users of images of everyday medical situations. It aims to identify the differences of image tagging behaviors between two socially distinct groups, medical professionals and nonmedical professionals. Results of the study may contribute to the increase of awareness and understanding of social media in healthcare, and the development of tag-based medical image retrieval service that is socio-cultural sensitive.

Effective Tagging Practices for Online Learning Environments: An Exploratory Study of Tag Approach and Accuracy

“…At the same time, students did not integrate expert tags when those were provided to them. Similarly, another study found that medical experts used fewer and more direct tags than laypeople when cataloging the same images (Phoebe, Wei-Chung, Kai-Ying, Chia-Chi, & Shing, 2016). These studies suggest that experts are more economical than novices in their tagging practices, and that they draw upon a shared knowledge base.…”

Graph‐based tag recommendations using clusters of patients in clinical decision support system

“…Resonance Imaging (MRI), and Ultrasound, 15 which play an important role in the diagnosis and treatment of diseases. Consideration has been…”

“…Tagging approach, a representation of semantic interpretations, has proven benefits on managing, searching, and discovering pictures for specific use. 15 The graph-based tag recommendation approach aims to describe and organize the patients' medical images. The recommendation of tags will suggest related diseases improving the description of the patients' medical images.…”

“…The context of this paper is about the tagging method to describe the EHR. The most used medical imaging techniques are X‐rays, Computed Tomogram Scan (CT Scan), Magnetic Resonance Imaging (MRI), and Ultrasound, 15 which play an important role in the diagnosis and treatment of diseases. Consideration has been given to tagging medical images where tags represent the common disease categories or pathologies.…”

“…Consideration has been given to tagging medical images where tags represent the common disease categories or pathologies. Tagging approach, a representation of semantic interpretations, has proven benefits on managing, searching, and discovering pictures for specific use 15 …”