From the outset we have worked from the assumption that the day-to-day oversight and coordination necessary to keeping such a large, complex project as i2b2 running smoothly with the end goal in mind could not be the sole province of the PI. For this reason we established a management structure, including a dedicated team led by the Executive Director and co-PI (Churchill and Glaser) to oversee (and help correct course when necessary) the direction and progress of the research plan. A regular meeting strategy including weekly full day meetings of all the i2b2 core representatives and, most Importantly, those between Core 1 and 2 investigators and the DBP leaders enforced this. Given the success of these structures we Intend to maintain those as is. Because, at the time we were the only NCBC that addressed health records and discovery research, the outreach and support to a rapidly growing i2b2 academic users group became a welcome, if unanticipated Core 6 activity. This activity varied widely. It ranged from helping steer governance challenges (e.g. what kind of open source license), to managing the relationships between the academic implementations of i2b2 and a fast growing set of commercial and non-academic clinical research Implementations of i2b2. Consonant with the expanded open source community role of Core 3, this outwardly facing activity of Core 6 will also grow. Further, given the extensive set of collaborations between i2b2 and existing NCBCs the so-called """"""""big P"""""""" activities are anticipated to grow, especially given the Increased use of i2b2 technologies through many of these (and proposed) other NCBCs. Finally, the selection of the last DBP team, (DBP #3) in year 4 will be a strategically important process which Core 6 will help manage in consultation with our internal scientific advisory committee.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54LM008748-09
Application #
8382741
Study Section
Special Emphasis Panel (ZRG1-BST-K)
Project Start
Project End
Budget Start
2012-09-15
Budget End
2013-09-14
Support Year
9
Fiscal Year
2012
Total Cost
$375,122
Indirect Cost
$186,657
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Yu, Zhi; Kim, Seoyoung C; Vanni, Kathleen et al. (2018) Association between inflammation and systolic blood pressure in RA compared to patients without RA. Arthritis Res Ther 20:107
Agniel, Denis; Kohane, Isaac S; Weber, Griffin M (2018) Biases in electronic health record data due to processes within the healthcare system: retrospective observational study. BMJ 361:k1479
Yu, Sheng; Ma, Yumeng; Gronsbell, Jessica et al. (2018) Enabling phenotypic big data with PheNorm. J Am Med Inform Assoc 25:54-60
Luo, Yuan (2017) Recurrent neural networks for classifying relations in clinical notes. J Biomed Inform 72:85-95
Nanba, Kazutaka; Vaidya, Anand; Williams, Gordon H et al. (2017) Age-Related Autonomous Aldosteronism. Circulation 136:347-355
Kim, Youngjun; Riloff, Ellen; Meystre, Stéphane M (2017) Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification. AMIA Annu Symp Proc 2017:1060-1069
Bigdeli, T B; Ripke, S; Peterson, R E et al. (2017) Genetic effects influencing risk for major depressive disorder in China and Europe. Transl Psychiatry 7:e1074
Hundemer, Gregory L; Baudrand, Rene; Brown, Jenifer M et al. (2017) Renin Phenotypes Characterize Vascular Disease, Autonomous Aldosteronism, and Mineralocorticoid Receptor Activity. J Clin Endocrinol Metab 102:1835-1843
Luo, Yuan; Wang, Fei; Szolovits, Peter (2017) Tensor factorization toward precision medicine. Brief Bioinform 18:511-514
Luo, Yuan; Uzuner, Özlem; Szolovits, Peter (2017) Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations. Brief Bioinform 18:160-178

Showing the most recent 10 out of 312 publications