Co-Design of a Computer-Assisted Medical Decision Support System to Manage Antibiotic Prescription in an ICU Ward

M Gil, P Pinto, AS Simões, P Póvoa, MM Silva, L Lapão

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)
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About 37 thousand people die per year in Europe due to infections by resistant bacteria. Fighting antimicrobial resistances (AR) is a top priority to save lives and reduce costs. AR is triggered mostly by uncritical antibiotic prescription. This paper presents HAITool, a decision-making information system to support antibiotic prescription. The system was co-developed together with health professionals using Design Science Research Methodology, empowered with innovative data visualization techniques to improve AR management. HAITool includes integrated visualizations of patient, microbiology, and pharmacy data, facilitating clinical decision support, antibiotic prescriptions quality and antibiotic-resistant bacteria monitoring. It also includes an alert module that monitors conformance of antibiotic prescriptions with norms and guidelines. HAITool is evaluated using both the Österle principles and interviews with physicians and infection control team from three participant hospitals.
Original languageEnglish
Pages (from-to)499
Number of pages503
JournalStudies in Health Technology and Informatics
Publication statusPublished - 2016
EventMedical Informatics Europe Conference, MIE 2016 at the Health - Exploring Complexity: An Interdisciplinary Systems Approach, HEC 2016 - Munich, Germany
Duration: 28 Aug 20162 Sep 2016


  • Computer-Assisted Medical Decision Support System
  • design science research methodology
  • co-design
  • Antibiotic prescription
  • Antibiotic Stewardship


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