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

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.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process
      H.3.5 On-line Information Services
          Subjects: Web-based services
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)

  J. Computer Applications
  J.3 LIFE AND MEDICAL SCIENCES
      Subjects: Medical information systems

General Terms:
Design, Documentation, Human Factors, Management, Performance, Theory

Keywords:
medical digital library, multimedia, natural language, personalization, query interface, search, summarization