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Multidisciplinary Team Meetings - A Literature Based Process Analysis

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Information Technology in Bio- and Medical Informatics (ITBAM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9832))

Abstract

Multidisciplinary Team Meetings (MDTM) are conducted to discuss the treatment of one or more patients. This paper discusses MDTM with a focus on tumor treatment and shows workflows in different settings, identifies organizational and technical problems in the MDTM and solutions thereof. It aims to answer the following research questions: (RQ1) What is the current state of the art in MDTM?(RQ2) How are they conducted and what is the variation in different hospital settings? (RQ3) What technical problems and possible solutions thereof exist? This is done by conducting a literature review entailing a forward search of 837 papers and a backward search. The results show that a unified workflow model for MDTM can’t be found since they are highly dependent on institutional and tumor dependent specifics. The identified problems and solutions show a lack of research towards technical solutions and process interoperability. An outlook on extending research in these areas is given.

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Authors and Affiliations

  1. University of Applied Sciences Upper Austria, 4232, Hagenberg, Austria

    Oliver Krauss, Martina Angermaier & Emmanuel Helm

Authors
  1. Oliver Krauss
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  2. Martina Angermaier
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  3. Emmanuel Helm
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Correspondence to Oliver Krauss .

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Editors and Affiliations

  1. Institute of Informatics and Telematics , Pisa, Italy

    M. Elena Renda

  2. Czech Technical University in Prague , Prague 6, Czech Republic

    Miroslav Bursa

  3. Medical University Graz , Graz, Austria

    Andreas Holzinger

  4. San José State University , San Jose, California, USA

    Sami Khuri

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Krauss, O., Angermaier, M., Helm, E. (2016). Multidisciplinary Team Meetings - A Literature Based Process Analysis. In: Renda, M., Bursa, M., Holzinger, A., Khuri, S. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2016. Lecture Notes in Computer Science(), vol 9832. Springer, Cham. https://doi.org/10.1007/978-3-319-43949-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-43949-5_8

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  • Online ISBN: 978-3-319-43949-5

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