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Streamlining CLABSI Diagnosis: An Innovative Process Modeling Approach Using UML Activity Diagrams

  • Mohammad Daboor
  • , Faten Kharbat
  • , Fathi mueen Azzuni
  • , Iyad Sultan
  • , Mohammad Odeh
  • King Hussein Cancer Center
  • Kanad Hospital
  • University of the West of England
  • Global Academy for Digital Health

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the development and validation of a Unified Modeling Language (UML) Activity Diagram for diagnosing Central Line-Associated Bloodstream Infections (CLABSIs) based on guidelines from the Centers for Disease Control and Prevention (CDC) and the National Healthcare Safety Network (NHSN). The activity diagram translates complex guidelines into an accessible visual model, refined through iterative feedback from domain experts in healthcare and software engineering. This tool aims to enhance understanding, adherence, and education regarding CLABSI diagnosis, ultimately improving diagnostic accuracy and consistency. Additionally, the diagram serves as a foundation for developing software applications to automate the detection and diagnosis of CLABSIs, further enhancing clinical efficiency and patient outcomes. By providing a clear and structured process model, this study contributes significantly to the field of healthcare informatics and patient safety.

Original languageEnglish
Title of host publication2024 Global Digital Health Knowledge Exchange and Empowerment Conference
Subtitle of host publicationKnowledge Exchange of the State-of-the-Art Research and Development in Digital Health Technologies, Enable and Empower Stakeholders Engaged in Enriching and Enhancing the Patient Healthcare Journey, gDigiHealth.KEE 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331531331
DOIs
StatePublished - 2024
Event2024 Global Digital Health Knowledge Exchange and Empowerment Conference, gDigiHealth.KEE 2024 - Abu Dhabi, United Arab Emirates
Duration: 24 Sep 202426 Sep 2024

Publication series

Name2024 Global Digital Health Knowledge Exchange and Empowerment Conference: Knowledge Exchange of the State-of-the-Art Research and Development in Digital Health Technologies, Enable and Empower Stakeholders Engaged in Enriching and Enhancing the Patient Healthcare Journey, gDigiHealth.KEE 2024

Conference

Conference2024 Global Digital Health Knowledge Exchange and Empowerment Conference, gDigiHealth.KEE 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period24/09/2426/09/24

Keywords

  • Automated Detection
  • CDC
  • CLABSI Diagnosis
  • Clinical Decision Support
  • Diagnostic Accuracy
  • EHR Integration
  • Healthcare Informatics
  • Healthcare Training Tools
  • NIHS
  • Process Modeling
  • UML Activity Diagrams

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