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Carol Friedman

Biomedical informatician From Wikipedia, the free encyclopedia

Carol Friedman is a scientist and biomedical informatician. She is among the pioneers the use of expert systems in medical language processing and the explicit medical concept representation underpinning the use of entity–attribute–value modeling underpinning electronic medical records.

AwardsAMIA Donald A. B. Lindberg Award for Innovation in Biomedical Informatics, 2010[3]
Fellow of the New York Academy of Medicine, 2006[4]
Fellow, ACMI
National Academy of Medicine (IOM 2016)
Quick facts Education, Known for ...
Carol Friedman
EducationNew York University
City College of New York
Known forMedLEE[1]Medical language processing
GENIES[2] Medical language processing
AwardsAMIA Donald A. B. Lindberg Award for Innovation in Biomedical Informatics, 2010[3]
Fellow of the New York Academy of Medicine, 2006[4]
Fellow, ACMI
National Academy of Medicine (IOM 2016)
Scientific career
FieldsMedical language processing
Biomedical Informatics
Pharmacovigilance
Electronic medical record
EAV model in EMR
WorkplacesColumbia University
Queens College, CUNY
Academic advisors
Ralph Grishman
Notable students
Yves A. Lussier
Eneida A. Mendonça
Chuang Jen-hsiang
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Life

Before her doctoral degree, working under the direction of Naomi Sager at New York University, she also contributed to the development of second generation medical language processing systems. After her doctoral degree in computer science (natural language processing) under Ralph Grishman at the Courant Institute of Mathematics at New York University, she has developed annotative clinical information systems that have been integrated in the New York–Presbyterian Hospital, and the Columbia University Medical Center.

She is recognized for her development, translation to clinical practice and evaluation of the MedLEE[1] medical language processing system. MedLEE is in daily use for clinical decision support at NewYork–Presbyterian Hospital. She adapted and evaluated the MedLEE system to build biomolecular and genotype-phenotype networks (GENIES[2] and BioMedLEE[5] respectively). MedLEE and GENIES exemplify the translation to practice of the sub-language theory proposed by Zellig Harris that Friedman pursued. In summary, she has been demonstrating the value of natural language processing for a broad range of clinical and biomedical applications that include decision support, automated encoding, vocabulary development, sub-language grammar applied to biomedicine, clinical research, outcomes analysis, error detection, and genomics research.

Friedman is a professor of biomedical informatics at Columbia University. Friedman was a member of the Board of Regents of the National Library of Medicine from 2007 to 2011, and has published over 150 articles.

Publications

  • Hsinchun Chen, ed. (21 June 2005). Medical Informatics: Knowledge Management and Data Mining in Biomedicine. Springer. ISBN 978-0-387-24381-8. Retrieved 29 May 2013.
  • Naomi Sager; Carol Friedman; Margaret S. Lyman (1987). Medical language processing: computer management of narrative data. Addison-Wesley Pub. Co. ISBN 978-0-201-16810-5. Retrieved 29 May 2013.
  • "Carol Friedman". PubMed. National Center for Biotechnology Information, U.S. National Library of Medicine.

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