Using design science research methodology to implement a surveillance and decision support system to manage healthcare-associated infections and antibiotic use in hospitals

Pedro Pinto, Miguel Gii, Alexandra S. Simões, Miguel Mira Da Silva, Luís Velez Lapão

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

About thirty seven thousand people die per year in Europe due to infections caused by antibiotic resistant bacteria. Combating antimicrobial resistance is a world top priority so that lives can be saved and associated costs reduced. Indiscriminate antibiotic prescription is an additional and unnecessary selection pressure that accelerates the development of antibiotic resistant bacteria. In this way, initiatives that aim to reduce antimicrobial resistance should take into account antibiotic prescription quality. This paper presents HAITool: a Surveillance and Decision Support System to manage, prevent, and control healthcare-associated infections. The information system was developed using Design Science Research Methodology (DSRM), and is empowered with innovative applications of data visualisation techniques. The information system, designed in close collaboration with healthcare professionals, includes integrated visualisations of patient, microbiology, and pharmacy data, facilitating antibiotic resistant bacteria monitoring, antibiotic prescription support, and clinical decision quality. It also includes an alert component for antibiotic prescriptions, ESKAPE+C and multi-drug resistant microorganism according with norms and guidelines. HAITool has been evaluated, using the Österle principles and interviews with physicians and infection control practitioners, as a very useful Surveillance and Decision Support System.

Original languageEnglish
Title of host publicationProceedings of the 13th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2016
EditorsMarinos Themistocleous, Vincenzo Morabito, Ahmad Ghoneim
PublisherUniversity of Piraeus
Pages245-254
Number of pages9
ISBN (Electronic)9789606897092
Publication statusPublished - 1 Jan 2016
Event13th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2016 - Krakow, Poland
Duration: 23 Jun 201624 Jun 2016

Publication series

NameProceedings of the 13th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2016

Conference

Conference13th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2016
CountryPoland
CityKrakow
Period23/06/1624/06/16

Keywords

  • Antibiotic Consumption
  • Antibiotic Resistance
  • Clinical Decision Support System
  • Healthcare-Associated Infections Surveillance System
  • Healthcare-AssociatedInfections

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  • Cite this

    Pinto, P., Gii, M., Simões, A. S., Da Silva, M. M., & Lapão, L. V. (2016). Using design science research methodology to implement a surveillance and decision support system to manage healthcare-associated infections and antibiotic use in hospitals. In M. Themistocleous, V. Morabito, & A. Ghoneim (Eds.), Proceedings of the 13th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2016 (pp. 245-254). (Proceedings of the 13th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2016). University of Piraeus. http://haitool.ihmt.unl.pt/papers/EMCIS_2016.pdf