Carol Friedman wins 2017 Morris F. Collen Award! Congratulation!

The American College of Medical Informatics (ACMI) will present the 2017 Morris F. Collen Award of Excellence to Professor Carol Friedman, PhD, during the Opening Session of AMIA’s Annual Symposium in Washington, D.C. AMIA’s Annual Symposium is taking place Nov. 4-8.

 

In honor of Morris F. Collen, a pioneer in the field of medical informatics, this prestigious award is presented to an individual whose personal commitment and dedication to medical informatics has made a lasting impression on the field. The award is determined by ACMI’s Awards Committee.

 

Dr. Carol Friedman is a Professor of Biomedical Informatics at Columbia University and Director of the Department’s Graduate Training Program. She received her M.A. and Ph.D. in Computer Science from the Courant Institute of Mathematics at New York University, where her research focused on the natural language processing (NLP) of complex language structures. After receiving her Ph.D. degree, Dr. Friedman joined the Department of Biomedical Informatics at Columbia as an Assistant Professor.

 

Dr. Friedman is a recognized pioneer in NLP within the biomedical domain with an established national and international reputation. Her current research is devoted to the use of NLP methodology to obtain executable data and knowledge from clinical reports and biomedical text, to be employed for discovery and patient care, with a special focus on pharmacovigilance and medication safety. Dr. Friedman was one of the first researchers to demonstrate the value of NLP for a broad range of clinical and biomedical applications that include decision support, automated encoding, vocabulary development, clinical research, data mining, discovery, error detection, genomics research, and pharmacovigilance. She also was one of the first to demonstrate that a general NLP system could be used to improve actual patient care. She developed MedLEE, a comprehensive natural language extraction and encoding system for the clinical domain, which has been used at New York-Presbyterian Hospital (NYP) in collaboration with Dr. George Hripcsak and has been shown to produce results similar to medical experts. She adapted MedLEE to develop GENIES in collaboration with Dr. Andrey Rzhetsky and BioMedLEE in collaboration with Dr. Yves Lussier. GENIES extracts biomolecular relations from journal articles, and BioMedLEE extracts a broad range of genotypic-phenotypic relations from the literature. In her early work, Dr. Friedman helped design the Clinical Patient Repository, which is still in use at NYP.

 

Dr. Friedman has more than 120 publications consisting of journal articles, conference proceedings, and book chapters, and also holds several patents associated with NLP technology. She is a fellow of the American College of Medical Informatics and the American Academy of Medicine. She has served on the editorial boards of several journals in the biomedical field, and was a member of the Board of Regents and the Board of Counselors of the National Library of Medicine. In 2010, she received the Donald A. B. Lindbergh Award for Innovation in Biomedical Informatics from the American Medical Informatics Association.

 

President of the American College of Medical Informatics, Christopher Chute, MD, DrPH, FACMI, the Bloomberg Distinguished Professor of Health Informatics, Johns Hopkins University, said, “ I am delighted to announce that Carol Friedman, PhD, has been selected as the recipient of the 2017 Morris F. Collen Award, which will be given during the opening session of the AMIA Annual Symposium. She was selected from an incredibly competitive pool of nominees and I look forward to celebrating Carol’s achievements with you in Washington, DC.”
AMIA’s Annual Symposium is the premier educational event in the field. The symposium presents leading-edge scientific research on biomedical and health informatics and over 100 scientific sessions. The Symposium presents work from across the spectrum of the informatics field — translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics and public health informatics.