PERSIVAL, a system for personalized search and summarization over multimedia healthcare information

Authors:
Kathleen R. McKeown;Shih-Fu Chang;James Cimino;Steven Feiner;Carol Friedman;Luis Gravano;Vasileios Hatzivassiloglou;Steven Johnson;Desmond A. Jordan;Judith L. Klavans;André Kushniruk;Vimla Patel;Simone Teufel
Affiliations:
Department of Computer Science, Columbia University, New York, NY;Department of Electrical Engineering, Columbia University, New York, NY;Department of Medical Informatics, Columbia University, New York, NY;Department of Computer Science, Columbia University, New York, NY;Department of Medical Informatics, Columbia University, New York, NY;Department of Computer Science, Columbia University, New York, NY;Department of Computer Science, Columbia University, New York, NY;Department of Medical Informatics, Columbia University, New York, NY;Department of Anesthesiology and Department of Medical Informatics, Columbia University, New York, NY;Center for Research on Information Access, Columbia University, NY;Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada;Department of Medical Informatics, Columbia University, New York, NY;Department of Computer Science, Columbia University, New York, NY
Venue:
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Year:
2001

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Abstract

In healthcare settings, patients need access to online information tha t can help them understand their medical situation. Physicians need information that is clinically relevant to an individual patient. In this paper, we present our progress on developing a system, PERSIVAL, that is designed to provide personalized access to a distributed patient care digital library. Using the secure, online patient records at New York Presbyterian Hospital as a user model, PERSIVAL's components tailor search, presentation and summarization of online multimedia information to both patients and healthcare providers.