Seminar: Intelligent Personal Health Record
Feb 15, 2012 1:00 AM
Gang Luo, Ph.D.
Location: HSEB 4100B
Date: Feb. 23, 2012
Time: 4:15 pm
Web-based personal health records (PHRs) are under massive deployment. To improve PHR’s capability and usability and provide users with personalized healthcare information to facilitate their daily activities of living, we proposed the concept of intelligent PHR (iPHR). iPHR introduces and extends expert system technology, Web search technology, database trigger technology, and natural language generation technology into the PHR domain. By extensively using medical knowledge and nursing knowledge, iPHR can anticipate users’ needs, guide users to provide the most important information about their medical condition, and automatically form medical queries. Our iPHR system currently provides four functions: questionnaire-guided search for disease information, recommendation of home nursing activities, recommendation of home medical products, and continuous user monitoring. Upon the detection of an abnormal event that may have potential medical impact, the fourth function follows the push model of information distribution and actively pushes related personalized healthcare information to the user. This talk will present both the high-level design and some implementation details of iPHR.
Gang Luo obtained his Ph.D. degree in Computer Science minor in Mathematics at the University of Wisconsin-Madison in June 2004. In collaboration with many researchers worldwide, he founded the ACM Special Interest Group on Health Informatics (SIGHIT) and the ACM SIGHIT International Health Informatics Symposium (IHI) in 2010. Gang is currently working at IBM T.J. Watson research center as a Research Staff Member. His research interests include health informatics (system building and data analysis), information retrieval, database, natural language processing, machine learning, and brain-computer interface. He invented the iMed questionnaire-guided intelligent medical search engine, intelligent personal health record, and SQL and compiler progress indicators.