Examining the role of collaboration in studies of health information technologies in biomedical informatics: A systematic review of 25 years of research

Elizabeth V. Eikey*, Madhu C. Reddy, Craig E. Kuziemsky

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

52 Scopus citations

Abstract

Purpose: Our objective was to identify and examine studies of collaboration in relation to the use of health information technologies (HIT) in the biomedical informatics field. Methods: We conducted a systematic literature review of articles through PubMed searches as well as reviewing a variety of individual journals and proceedings. Our search period was from 1990-2015. We identified 98 articles that met our inclusion criteria. We excluded articles that were not published in English, did not deal with technology, and did not focus primarily on individuals collaborating. Results: We categorized the studies by technology type, user groups, study location, methodology, processes related to collaboration, and desired outcomes. We identified three major processes: workflow, communication, and information exchange and two outcomes: maintaining awareness and establishing common ground. Researchers most frequently studied collaboration within hospitals using qualitative methods. Discussion: Based on our findings, we present the "collaboration space model", which is a model to help researchers study collaboration and technology in healthcare. We also discuss issues related to collaboration and future research directions. Conclusion: While collaboration is being increasingly recognized in the biomedical informatics community as essential to healthcare delivery, collaboration is often implicitly discussed or intertwined with other similar concepts. In order to evaluate how HIT affects collaboration and how we can build HIT to effectively support collaboration, we need more studies that explicitly focus on collaborative issues.

Original languageEnglish (US)
Pages (from-to)263-277
Number of pages15
JournalJournal of Biomedical Informatics
Volume57
DOIs
StatePublished - Oct 1 2015

Funding

This work is supported in part by National Science Foundation grants IIS #1017247 and #0844947 and by a Discovery grant from the Natural Sciences and Engineering Research Council of Canada. This material is also based upon work supported by the National Science Foundation under Grant No. DGE1255832. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Keywords

  • Collaboration
  • Health information technology
  • Systematic review

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications

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