Applying a social network analysis (SNA) approach to understanding radiologists' performance in reading mammograms
| Autor: | Patrick C. Brennan, Seyedamir Tavakoli Taba, Sarah J. Lewis, Warwick Lee, Robert Heard, Liaquat Hossain |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.diagnostic_test
business.industry media_common.quotation_subject 05 social sciences Perspective (graphical) Applied psychology Variance (accounting) Computer-assisted web interviewing 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Reading (process) Performance studies 0502 economics and business medicine Mammography Artificial intelligence Psychology Association (psychology) business Social network analysis 050203 business & management media_common |
| Zdroj: | Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2254177 |
| Popis: | Rationale and objectives: Observer performance has been widely studied through examining the characteristics of individuals. Applying a systems perspective, while understanding of the system’s output, requires a study of the interactions between observers. This research explains a mixed methods approach to applying a social network analysis (SNA), together with a more traditional approach of examining personal/ individual characteristics in understanding observer performance in mammography. Materials and Methods: Using social networks theories and measures in order to understand observer performance, we designed a social networks survey instrument for collecting personal and network data about observers involved in mammography performance studies. We present the results of a study by our group where 31 Australian breast radiologists originally reviewed 60 mammographic cases (comprising of 20 abnormal and 40 normal cases) and then completed an online questionnaire about their social networks and personal characteristics. A jackknife free response operating characteristic (JAFROC) method was used to measure performance of radiologists. JAFROC was tested against various personal and network measures to verify the theoretical model. Results: The results from this study suggest a strong association between social networks and observer performance for Australian radiologists. Network factors accounted for 48% of variance in observer performance, in comparison to 15.5% for the personal characteristics for this study group. Conclusion: This study suggest a strong new direction for research into improving observer performance. Future studies in observer performance should consider social networks’ influence as part of their research paradigm, with equal or greater vigour than traditional constructs of personal characteristics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|