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Implementation and Evaluation of a Decision Support Systems for the Patients of a Laboratory Service

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Information and Software Technologies (ICIST 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 756))

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Abstract

The problem of a decision support of a laboratory service patients originates from the fact that in Russia most patients address laboratory services directly without being referred by a doctor. This leads to the problem of interpretation of test results by the patients without sufficient medical background. So, we have a situation when there is no doctor who can professionally interpret the results. This problem can be solved by a laboratory service if it can provide not only the results of the tests but also their interpretations. This task can be delegated to a decision support system, which can automatically generate interpretation reports and send them to the patients. We have implemented and evaluated such a system in the Helix laboratory service in Saint-Petersburg, Russia. Now, it generates about 3500 reports a day. The implementation of the system allowed increasing the number of patients who refer to a doctor after laboratory tests by 14%. A qualitative study with 100 patients demonstrated a high acceptance of the system. The majority (82%) of the patients reported that they trust the system and follow its advice to visit a doctor if necessary.

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Authors and Affiliations

  1. Institute Cybernetic Center, Tomsk Polytechnic University, Tomsk, Russia

    Georgy Kopanitsa & Zhanna Kopanitsa

  2. Tomsk State University for Architecture and Building, Tomsk, Russia

    Georgy Kopanitsa

Authors
  1. Georgy Kopanitsa
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  2. Zhanna Kopanitsa
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Correspondence to Georgy Kopanitsa .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Vilma Mikašytė

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Kopanitsa, G., Kopanitsa, Z. (2017). Implementation and Evaluation of a Decision Support Systems for the Patients of a Laboratory Service. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_10

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  • DOI: https://doi.org/10.1007/978-3-319-67642-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67641-8

  • Online ISBN: 978-3-319-67642-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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