Health Services Research Center
- Studies of the impact of radiological techniques on diagnostic confidence
- Studies of the impact of radiological techniques on medical decision making, including the choice of therapy or further diagnostic work-up
- Studies of the effect of radiological techniques on patient outcomes (e.g., survival, functional status, health-related quality of life)
- Studies that measure the work flow, utilization, cost, or cost-effectiveness of radiological techniques (e.g., operations research, prediction rules, cost and outcomes)
The focus of the Health Services Research (HSR) Section of the Department of Radiology is to facilitate academic interest in HSR within the Department, provide mentorship and education of residents, fellows and faculty in research methodology. Furthermore, we wish to promote interdisciplinary health services research collaboration with investigators outside of the Department and outside of the University of Washington. Activities include:
- Radiology Health Services Research Seed Grant Program
- Mentorship on an individual basis
- Visiting Professor Program
- Guest Speaker/Lecture Program
- Integration of research methodology and non-interpretive skills with the residency radiology core competencies rotation
- National educational efforts through publication in major academic radiology journals, committee membership in the Radiology Alliance for Health Services Research (RAHSR) of the Association of University Radiologists and in the American Society of Neuroradiology (ASNR)
- Interdisciplinary HSR through the Comparative Effectiveness, Cost and Outcomes Research Center (CECORC) and the Centers for Comparative and Health Systems Effectiveness (CHASE) Alliance
Directors
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Media and Publications
- Drs. Janie Lee and Christoph Lee Discuss New Breast Screening Guidelines
- Top 20 Research Studies of 2015 for Primary Care Physicians.
Ebell MH, Grad R.
Am Fam Physician. 2016 May 1;93(9):756-762.
PMID: 27175953 [PubMed – as supplied by publisher] -
Yim W, Yetisgen M, Kwan SW. In-depth annotation for patient level liver cancer staging. Proceedings of Sixth International Workshop on Health Text Mining and Information Analysis (Louhi). 2015 Sept: 1-11. https://www.cs.cmu.edu/~ark/EMNLP-2015/proceedings/LOUHI/pdf/LOUHI01.pdf
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Yim WW, Denman T, Kwan SW, Yetisgen M. Tumor information extraction in radiology reports for hepatocellular carcinoma patients. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:455-64. eCollection 2016. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001784/
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Yim W, Yetisgen M, Harris WP, Kwan SW. Natural language processing in oncology: a review, JAMA Oncology, 2016 Jun 1;2(6): 797-804. http://oncology.jamanetwork.com/article.aspx?articleid=2517402