We are going to hold two special panel sessions during ICHI 2016. Please find the details of the panel sessions below.
Title: Evidence Synthesis – Current Practices and Future Possibilities
- Neil R. Smalheiser, University of Illinois at Chicago, College of Medicine
- Spyros Kitsiou, University of Illinois at Chicago, College of Medicine
- Aaron M. Cohen, Oregon Health & Science University
- Siddhartha Jonnalagadda, Microsoft
- Byron Wallace, Northeastern University
- Sophia Ananiadou, The University of Manchester, National Centre for Text Mining
Time:Oct 5th, Wednesday, 1:30 pm – 5:00 pm
This session has two main goals. First, it is designed to inform new investigators of the importance of automating evidence synthesis, and emphasize the potential for new research in this area. Second, it provides an opportunity for five of the leading laboratories across the US and UK to come together, to review the current state of the art, and discuss in detail the nuts-and-bolts of different technical approaches to overcoming the key challenges of evidence synthesis.
Dr. Kitsiou will give an overview of the different types of literature reviews and evidence synthesis approaches in health informatics, with emphasis on systematic reviews and meta-analyses, for those not in the field: discussing how they are generated, and the bottlenecks in generating them efficiently and with adequate quality. Dr. Cohen will give an overview of the efforts by laboratories worldwide to improve and automate the process of writing and updating systematic reviews in evidence-based medicine. Dr. Smalheiser will present his research in identifying relevant clinical trials to examine, whereas Drs. Jonnalagadda, Wallace, and Ananiadou will discuss and compare their approaches to extracting data from clinical trial articles. Finally, there will be guided general discussion to consider the scope, limitations and potential for text mining techniques to automate, streamline and re-engineer the largely manual process of writing systematic reviews.
Title: Regional Coopetition in Biomedical and Health Informatics Education – Applying the Chicago Experience Worldwide
- Andrew Boyd, University of Illinois at Chicago
- Amy Y. Wang, Northwestern University
- Madhu C. Reddy, Northwestern University
- Annette L. Valenta, University of Illinois at Chicago
- Samuel Volchenboum, University of Chicago
Time:Oct 6th, Thursday, 3:30 pm – 5:00 pm
Nationally, the number of Health Informatics, Biomedical Informatics, and Data Science degree programs is growing significantly faster than the supply of trained informatics faculty members. Moreover, the number of masters-level programs is growing significantly faster than the number of doctoral programs. This challenge necessitates coopetition among diverse programs. The Chicago area is home to at least four health or biomedical informatics masters programs and two doctoral programs, as well as additional certificate programs and clinical informatics fellowships. Three schools in the Chicago area—Northwestern University (NU), University of Illinois at Chicago (UIC), and University of Chicago (UC)—have developed a novel coopetition model. Lessons from this experience can be applied to other regional, national, and international collaborations.
The leaders of the three programs have determined that all are best served by elevating the level of informatics education across Chicago and by emphasizing the unique strengths of each program. One of the most significant features of this model is a year-long Informatics Methods series that is taught by faculty from, and open to, students from all three schools. Representatives of the three programs will discuss this unusual arrangement, its strengths and its challenges and applicability to other coopetitions.