A model of tradeoffs for understanding health information technology implementation

Craig E. Kuziemsky*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Citations (Scopus)

Abstract

Implementing health information technology (HIT) is a challenge that frequently results in unintended consequences post implementation. To better manage these consequences we need approaches that can proactively identify issues so we deal with them pre-implementation. It can be suggested that a reason unintended consequences occur is because of trade-offs between people's work practices and pre and post HIT implementation. If we can identify what these trade-offs are we can use them for proactive management of unintended consequences. This paper uses a case study of a perioperative information system and principles of social BPM and qualitative content analysis to develop a model of seven trade-off patterns that can be used to study HIT mediated change. It also discusses the implications of the model on the design and evaluation of HIT.

Original languageEnglish
Title of host publicationTechno-Anthropology in health informatics
Subtitle of host publicationmethodologies for improving human-technology relations
EditorsLars Botin, Pernille Bertelsen, Christian Nøhr
Place of PublicationAmsterdam
PublisherIOS Press
Pages116-128
Number of pages13
ISBN (Electronic)9781614995609
ISBN (Print)9781614995593
DOIs
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameStudies in Health Technology and Informatics
Volume215
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • Health information technology
  • Implementation
  • Perioperative system
  • Proactive
  • Trade-offs

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