Skip to main content

Relevance Criteria for Medical Images Applied by Health Care Professionals

Research seminar by Shahram Sedghi

Thursday 18th October13.00-14.00

Digital medical imaging has become a vital component of a large number of applications within the current clinical settings. Additionally, the aim of information retrieval is to find as many relevant documents as possible. Thus, the concept of relevance, relevance judgment process, and research relevance criteria are the topics of many researches in information science. Medical images contain useful information and these collections serve a variety of clientele with different levels of ‎subject knowledge in medical schools and departments, and health care professionals seek medical images expecting to find relevant items to satisfy their ‎needs. However, to my knowledge, no previous study among the large body of user-oriented relevance studies focuses on how health care professionals perform real medical image seeking with real information needs and how health care professionals choose medical images that they need. Therefore, in this exploratory study, relevance criteria for medical images will be gathered from health care professionals in their work situation. In addition, presented study will focus on the relevance judgment patterns of health care professionals in the context of their real medical image searching. The goal is to develop a substantive theory based on a conceptual understanding of the relevance judgment process for medical images as well as the main concerns that health care professionals consider when they look for medical images. In the first stage of the study, researcher carried out a preliminary study to prepare himself for the main study and examine the research data collection tool and data analysis strategy that he has chosen for his research. The next stage of the study will be to extend the participant group, and follow up the areas initially raised.

http://www.shef.ac.uk/is/research/seminars.html

Comments

Popular posts from this blog

Raspberry Pi Weather Project now live

A project to create a raspberry pi weather station is currently live in the Information School.  The Sheffield Pi weather station has been created by Romilly Close, undergraduate Aerospace Engineering student at the University of Sheffield.  The project was funded by the Sheffield Undergraduate Research Experience (SURE) scheme and is being supervised by Dr Jo Bates, Paula Goodale and Fred Sonnenwald from the Information School. Information about the Sheffield Pi station and how to create your own can be found on the project website .  You can also see live data from the Sheffield Pi station on Plot.ly , and further information can also be found on the Met Office Weather Observations Website .    This work compliments the School’s existing project entitled ‘The Secret Life of a Weather Datum’ which explores socio-cultural influences on weather data.  This project is funded under the AHRC’s Digital Transformations Big Data call.  It aims to pilot a new approach to im

Our Chemoinformatics Group wins Jason Farradane Award

The Information School's Chemoinformatics Research Group has been awarded the 2012 UKeiG Jason Farradane Award , in recognition of its outstanding 40 year contribution to the information field. The prize is awarded to the three current members of the group,  Professor Val Gillet , Dr John Holliday and Professor Peter Willett . The judges recognised the Group's status as one of the world's leading centres of chemoinformatics research, a major contributor to the field of information science, and an exemplar in raising the profile of the information profession. The School has a long association with the Farradane prize. Its second recipient was long time member of staff Professor Mike Lynch in 1980.

Professor Mike Thelwall gives inaugural lecture

Professor of Data Science Mike Thelwall recently gave his inaugural lecture at the University of Sheffield, entitled  How helpful are AI and bibliometrics for assessing the quality of academic research? The lecture, delivered in the University's Diamond building, was introduced by Head of the Information School Professor Briony Birdi. It covered Mike's research into whether Artificial Intelligence can inform - or replace - expert peer review in the journal article publication process and what this could look like, as well as to what extent bibliometrics and citation statistics can play a role in assessing the quality of a piece of research. Mike also discussed whether tools like ChatGPT can accurately detect research quality. The inaugural lecture was well attended by colleagues from around the University.