Use of a wiki as a radiology departmental knowledge management system

Christopher Meenan, Antoinette King, Christopher Toland, Mark Daly, Paul Nagy

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Information technology teams in health care are tasked with maintaining a variety of information systems with complex support requirements. In radiology, this includes picture archive and communication systems, radiology information systems, speech recognition systems, and other ancillary systems. Hospital information technology (IT) departments are required to provide 24∈×∈7 support for these mission-critical systems that directly support patient care in emergency and other critical care departments. The practical know-how to keep these systems operational and diagnose problems promptly is difficult to maintain around the clock. Specific details on infrequent failure modes or advanced troubleshooting strategies may reside with only a few senior staff members. Our goal was to reduce diagnosis and recovery times for issues with our mission-critical systems. We created a knowledge base for building and quickly disseminating technical expertise to our entire support staff. We used an open source, wiki-based, collaborative authoring system internally within our IT department to improve our ability to deliver a high level of service to our customers. In this paper, we describe our evaluation of the wiki and the ways in which we used it to organize our support knowledge. We found the wiki to be an effective tool for knowledge management and for improving our ability to provide mission-critical support for health care IT systems.

Original languageEnglish (US)
Pages (from-to)142-151
Number of pages10
JournalJournal of Digital Imaging
Volume23
Issue number2
DOIs
StatePublished - Apr 2010
Externally publishedYes

Keywords

  • Informatics
  • Knowledge management
  • PACS
  • Wiki

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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