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

Kathleen R. McKeown, Shih Fu Chang, James Cimino, Steven K. Feiner, Carol Friedman, Luis Gravano, Vasileios Hatzivassiloglou, Steven Johnson, Desmond A. Jordan, Judith L. Klavans, André Kushniruk, Vimla Patel, Simone Teufel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

In healthcare settings, patients need access to online information that 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.

Original languageEnglish (US)
Title of host publicationProceedings of First ACM/IEEE-CS Joint Conference on Digital Libraries
Pages331-340
Number of pages10
StatePublished - 2001
Externally publishedYes
EventProceedings of the First ACM/IEEE-CS Joint Conference on Digital Libraries - Roanoke, VA, United States
Duration: Jun 24 2001Jun 28 2001

Publication series

NameProceedings of First ACM/IEEE-CS Joint Conference on Digital Libraries

Other

OtherProceedings of the First ACM/IEEE-CS Joint Conference on Digital Libraries
Country/TerritoryUnited States
CityRoanoke, VA
Period6/24/016/28/01

Keywords

  • Medical digital library
  • Multimedia
  • Natural language
  • Personalization
  • Query interface
  • Search
  • Summarization

ASJC Scopus subject areas

  • General Engineering

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