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Intrainstitutional EHR collections for patient‐level information retrieval
Author(s) -
Wu Stephen,
Liu Sijia,
Wang Yanshan,
Timmons Tamara,
Uppili Harsha,
Bedrick Steven,
Hersh William,
Liu Hongfang
Publication year - 2017
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23884
Subject(s) - information retrieval , computer science , resource (disambiguation) , information resource , human–computer information retrieval , cognitive models of information retrieval , data science , world wide web , knowledge management , search engine , computer network
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.