Communication within health care is dominated by clinical narratives. This includes clinical trial descriptions, doctors’ prescriptions, nursing notes, reports, personalized accounts of patients and scientific literature. Clinical narratives are a gold mine of information, that contain valuable insights for clinical decision making and hospital logistics management. In this talk, I shall be talking about our work in the area of clinical text analysis covering a wide range of document types along with the research challenges and applications.
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Dr. Lipika Dey is a Chief Scientist at Tata Consultancy Services (TCS). She is currently heading research in the theme of Economic and Financial Intelligence. Her areas of interest are Natural Language Processing, Artificial Intelligence applications, Machine learning, and analytics of multi-structured data. She has been awarded the Fellowship of Indian National Academy of Engineering (FNAE) in 2021 and also elected as Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). She was awarded the Distinguished Scientist award by TCS in 2012.
Prior to joining TCS. Lipika was a member of the faculty in the Department of Mathematics at IIT Delhi.
Lipika has a PhD in Computer Science and Engineering from IIT Kharagpur, where she had also done her graduation and post-graduation in Mathematics and Computer Science. She is actively involved with ACM(W) organization since its inception and an active champion of all causes related to Women in STEM.
Dr. Lipika Dey's Google Scholar page