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Exploring Training Issues in Healthcare: Towards Identifying Barriers to Increase Electronic Medical Records Adoption by Healthcare Professionals

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Book cover Information Quality in e-Health (USAB 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7058))

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Abstract

Many healthcare organizations in the U.S are working on the implementation of Electronic Medical Record (EMR) Systems. This literature review identifies technology training related factors that hinder adoption of technologies by clinical and non-clinical staff during implementation. We present the important concepts as defined by the literature within EMR context and the importance of analyzing training barriers and the role of Human-centered computing (HCC) in healthcare. We conclude that there is a need to create specific HCC focused training guidelines to effectively train end users in the healthcare domain. Major concepts of these guidelines can include consistency in training, providing feedback, reducing cognitive load and recognizing user diversity which includes understanding the user profiles and tasks required for those users functioning in a time-pressured environment such as healthcare.

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Author information

Authors and Affiliations

  1. Department of Human-centered Computing, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland, United States of America

    A. Aktta Patel & A. Ant Ozok

Authors
  1. A. Aktta Patel
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  2. A. Ant Ozok
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Editors and Affiliations

  1. Institute of Medical Informatics, Statistics and Documentation (IMI), Research Unit Human–Computer Interaction, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger  & Klaus-Martin Simonic  & 

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Patel, A.A., Ozok, A.A. (2011). Exploring Training Issues in Healthcare: Towards Identifying Barriers to Increase Electronic Medical Records Adoption by Healthcare Professionals. In: Holzinger, A., Simonic, KM. (eds) Information Quality in e-Health. USAB 2011. Lecture Notes in Computer Science, vol 7058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25364-5_47

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  • DOI: https://doi.org/10.1007/978-3-642-25364-5_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25363-8

  • Online ISBN: 978-3-642-25364-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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