July 30, 2014; iDASH External Webinar; CYCORE

submitted by: ucsd_idash
CYCORE: Cyberinfrastructure for Cancer Comparative Effectiveness Research Kevin Patrick UC San Diego School of Medicine Emilia Farcas UC San Diego Qualcomm Institute Susan Peterson University of Texas, MD Anderson Cancer Center Eileen Shinn University of Texas, MD Anderson Cancer Center Abstract: We propose to create a highly customizable suite of sensors capable of supporting cancer comparative effectiveness research (CER) in a variety of patients, settings, and clinical...

July 18, 2014; iDASH External Webinar; Emily Silgard

submitted by: ucsd_idash
Natural Language Processing; Getting Structured Data from Unstructured Sources Emily Silgard Fred Hutchinson Cancer Research Center Abstract: This will be a general introduction to Natural Language Processing; some discussion of the whats and whys, and common tasks in the field. We’ll get into some of its uses within the biomedical domain, some specific projects at the Seattle Cancer Care Consortium and some toy examples and high level description of methods for getting discrete...

July 3, 2014; Journal Club Webinar; Carolyn Turvey

submitted by: ucsd_idash
Blue Button use by patients to access and share health record information using the Department of Veterans Affairs’ online patient portal Carolyn Turvey, Dawn Klein, Gemmae Fix, Tim Hogan, Susan Woods, Steven R Simon, Mary Charlton, Mary Vaughan-Sarrazin, Donna M Zulman, Lilian Dindo, Bonnie Wakefield, Gail Graham, Kim Nazi J Am Med Inform Assoc. 2014 Jul;21(4):657-63. doi: 10.1136/amiajnl-2014-002723. Epub 2014 Apr 16. Carolyn L. Turvey, Ph.D. University of Iowa Iowa City VA...

June 20, 2014 - iDASH External Webinar; Bradley Malin

submitted by: ucsd_idash
Technical Approaches to Measure and Mitigate Re-identification Risk… And Why They are Not Sufficient Bradley Malin Vanderbilt University Abstract: One of the key protections associated with human subjects research settings is the “identifiability” of the participants. This issue has moved to the forefront of the debate on human subjects protections as life science researchers evolve from small scale studies to “big data” investigations that incorporate an array resources...

June 5, 2014; Informatics Journal Club; Shoba Phansalkar

submitted by: ucsd_idash
Evaluation of medication alerts in electronic health records for compliance with human factors principles 1. Shobha Phansalkar, 2. Marianne Zachariah, 3. Hanna M Seidling, 4. Chantal Mendes, 5. Lynn Volk, 6. David W Bates J Am Med Inform Assoc doi:10.1136/amiajnl-2013-002279 Shobha Phansalkar, RPh, PhD Brigham and Women’s Hospital Harvard Medical School Wolters Kluwer Health Increasing the adoption of electronic health records (EHRs) with integrated clinical decision support...

May 16, 2014; iDASH External Webinar, Ying Zhang

submitted by: ucsd_idash
Privacy-Preserving Shared Access to Computing on Sensitive Data: A Feasibility Study Ying Zhang University of Oklahoma Health Sciences Abstract: Objective Explore the feasibility of developing and implementing a data access “sharing” model for researchers who are interested in using the Strong Heart Study (SHS) data for scientific studies and find out if such model will meet the approval of the SHS participating tribes and the NIH data sharing requirements. Methods Develop an...

May 1, 2014: Journal Club Webinar; Jeffrey Klann

submitted by: ucsd_idash
Query Health: standards-based, cross-platform population health surveillance Jeffrey G Klann, Michael D Buck, Jeffrey Brown, Marc Hadley, Richard Elmore, Griffin M Weber, Shawn N Murphy J Am Med Inform Assoc doi:10.1136/amiajnl-2014-002707 Jeffrey Klann, PhD Instructor of Medicine, Harvard Medical School Assistant in Computer Science, Massachusetts General Hospital Understanding population-level health trends is essential to effectively monitor and improve public health. The...

April 18, 2014: iDASH External Webinar; Razvan Bunescu

submitted by: ucsd_idash
Blood Glucose Level Prediction using Physiological Models and Support Vector Regression Razvan Bunescu Ohio University, School of Electrical Engineering and Computer Science Abstract: Patients with diabetes must continually monitor their blood glucose levels and adjust insulin doses, striving to keep blood glucose levels as close to normal as possible. Blood glucose levels that deviate from the normal range can lead to serious short-term and long-term complications. An automatic...

4/3/2014 iDASH Informatics Open Access Journal Club

submitted by: ucsd_idash
HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads Pinghao Li, Xiaoqian Jiang, Shuang Wang, Jihoon Kim, Hongkai Xiong, Lucila Ohno-Machado J Am Med Inform Assoc doi:10.1136/amiajnl-2013-002147 Xiaoqian Jiang and Shuang Wang Division of Biomedical Informatics, University of California San Diego The proposed method produced a compression ratio in the range 0.5–0.65, which corresponds to 35–50% storage savings based on experimental datasets. The proposed...

March 6, 2014. Informatics Journal Club; Caitanya Shivade

submitted by: ucsd_idash
A review of approaches to identifying patient phenotype cohorts using electronic health records Shivade C, Raghavan P, Fosler-Lussier E, Embi PJ, Elhadad N, Johnson SB, Lai AM. J Am Med Inform Assoc. 2014 Mar 1;21(2):221-30. doi: 10.1136/amiajnl-2013-001935. Epub 2013 Nov 7. Chaitanya Shivade The Ohio State University We observe that there is a rise in the number of studies associated with cohort identification using electronic medical records. Statistical analyses or machine...