Adam Wright, Ph.D.
|Title||Associate Professor of Medicine|
|Institution||Brigham and Women's Hospital|
|Address||Brigham and Women's Hospital|
1620 Tremont St
Boston MA 02120
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|2000||National Merit Scholarship|
|2001||President’s Award for Academic Excellence|
|2003||Tau Beta Pi Engineering Honor Society|
|2004||Phi Beta Kappa|
|2007||John A. Resko Award for Outstanding Dissertation in the School of Medicine|
|2009||Best Paper Selection for the Yearbook of Medical Informatics|
|2009||Distinguished Paper Award|
|2009||Book of the Year Award|
|2009||Excellence in Tutoring Award|
|2010||Best Paper Selection for the Yearbook of Medical Informatics|
|2010||Excellence in Tutoring Award|
|2010||New Investigator Award|
|2011||Best Paper Selection for the Yearbook of Medical Informatics|
I lead a team of biomedical informatics researchers, physicians, computer scientists and students focused on improving the way that electronic health records work. Our team concentrates on clinical decision support systems and data mining of extremely large clinical datasets. We have a particular interest in improving clinical problem lists, using health information technology to prevent instances of medical malpractice and patient harm and ensuring electronic health records operate safely. Our group receives funding from the NIH's National Library of Medicine and National Heart Lung and Blood Institute, the Agency for Healthcare Research and Quality and a variety of other foundations and groups.
In addition to research, I also direct the introductory courses in biomedical informatics at Harvard (BMI 701 and 702), and teach medical students during the January term.
Available: 06/27/17, Expires: 06/30/19
Our group conducts medical informatics research in a range of areas including electronic health records, clinical decision support, data mining, natural language processing, quality improvement and patient safety.
Experience with, and interest in, computer science and medical informatics is helpful, but not required. We have student research opportunities that are both technical (involving programming) and clinical (reviewing evidence, modeling guidelines, retrospective chart review).
We are happy to tailor activities based on student interests, and are also open to supervising student-initiated informatics research. All students participating in these research projects will have the opportunity to publish.
Predicting Healthcare Utilization Following Behavioral Health Referral Using Natural Language Processing and Machine Learning
Full Time/Year Long, 07/01/14 - 03/31/15
Comparison of Clinical Decision Support content developed by members of the Clinical Decision Support Consortium
Summer, 06/15/09 - 07/31/09
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