Intrainstitutional EHR collections for patient-level information retrieval

Stephen Wu, Sijia Liu, Yanshan Wang, Tamara Timmons, Harsha Uppili, Steven Bedrick, William (Bill) Hersh, Hongfang Liu

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Research in clinical information retrieval has long been stymied by the lack of open resources. However, both clinical information retrieval research innovation and legitimate privacy concerns can be served by the creation of intrainstitutional, fully protected resources. In this article, we provide some principles and tools for information retrieval resource-building in the unique problem setting of patient-level information retrieval, following the tradition of the Cranfield paradigm. We further include an analysis of parallel information retrieval resources at Oregon Health & Science University and Mayo Clinic that were built on these principles.

Original languageEnglish (US)
Pages (from-to)2636-2648
Number of pages13
JournalJournal of the Association for Information Science and Technology
Volume68
Issue number11
DOIs
StatePublished - Nov 1 2017

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Library and Information Sciences

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