Literature DB >> 26972838

Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

Gregory W Hruby1, Konstantina Matsoukas2, James J Cimino3, Chunhua Weng4.   

Abstract

Electronic health records (EHR) are a vital data resource for research uses, including cohort identification, phenotyping, pharmacovigilance, and public health surveillance. To realize the promise of EHR data for accelerating clinical research, it is imperative to enable efficient and autonomous EHR data interrogation by end users such as biomedical researchers. This paper surveys state-of-art approaches and key methodological considerations to this purpose. We adapted a previously published conceptual framework for interactive information retrieval, which defines three entities: user, channel, and source, by elaborating on channels for query formulation in the context of facilitating end users to interrogate EHR data. We show the current progress in biomedical informatics mainly lies in support for query execution and information modeling, primarily due to emphases on infrastructure development for data integration and data access via self-service query tools, but has neglected user support needed during iteratively query formulation processes, which can be costly and error-prone. In contrast, the information science literature has offered elaborate theories and methods for user modeling and query formulation support. The two bodies of literature are complementary, implying opportunities for cross-disciplinary idea exchange. On this basis, we outline the directions for future informatics research to improve our understanding of user needs and requirements for facilitating autonomous interrogation of EHR data by biomedical researchers. We suggest that cross-disciplinary translational research between biomedical informatics and information science can benefit our research in facilitating efficient data access in life sciences.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electronic health records; Human computer interaction; Information storage and retrieval

Mesh:

Year:  2016        PMID: 26972838      PMCID: PMC4837021          DOI: 10.1016/j.jbi.2016.03.004

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  79 in total

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Authors:  E A Mendonça; J J Cimino; S B Johnson; Y H Seol
Journal:  J Biomed Inform       Date:  2001-04       Impact factor: 6.317

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Authors:  George Hripcsak; Charles Knirsch; Li Zhou; Adam Wilcox; Genevieve Melton
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10.  Launching PCORnet, a national patient-centered clinical research network.

Authors:  Rachael L Fleurence; Lesley H Curtis; Robert M Califf; Richard Platt; Joe V Selby; Jeffrey S Brown
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

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Authors:  Jean-Baptiste Escudié; Bastien Rance; Georgia Malamut; Sherine Khater; Anita Burgun; Christophe Cellier; Anne-Sophie Jannot
Journal:  BMC Med Inform Decis Mak       Date:  2017-09-29       Impact factor: 2.796

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Journal:  BMC Med Inform Decis Mak       Date:  2020-12-14       Impact factor: 2.796

4.  Long term extension of a randomised controlled trial of probiotics using electronic health records.

Authors:  Gareth Davies; Sue Jordan; Caroline J Brooks; Daniel Thayer; Melanie Storey; Gareth Morgan; Stephen Allen; Iveta Garaiova; Sue Plummer; Mike Gravenor
Journal:  Sci Rep       Date:  2018-05-16       Impact factor: 4.379

  4 in total

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