Information integrity in healthcare enterprises: Strategies for mitigation of medical errors

Kevin C. Desouza, Darrin Thomas, Yifeng Zhang, Yukika Awazu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Ensuring information integrity in healthcare enterprises is salient. Today, medical errors resulting from the poor processing of information are pervasive in most healthcare organisations. In this paper we provide a systematic framework, grounded in the theory of semiotics, to study medical errors. We then show the viability of human machine strategies for addressing various categories of medical errors.

Original languageEnglish (US)
Pages (from-to)241-255
Number of pages15
JournalInternational Journal of Healthcare Technology and Management
Volume6
Issue number2
DOIs
StatePublished - 2004
Externally publishedYes

Fingerprint

Medical Errors
Delivery of Health Care
Automatic Data Processing

Keywords

  • Data mining
  • Information
  • Integrity
  • Knowledge management
  • Man-machine
  • Medical errors
  • Semiotics

ASJC Scopus subject areas

  • Health Informatics
  • Leadership and Management

Cite this

Information integrity in healthcare enterprises : Strategies for mitigation of medical errors. / Desouza, Kevin C.; Thomas, Darrin; Zhang, Yifeng; Awazu, Yukika.

In: International Journal of Healthcare Technology and Management, Vol. 6, No. 2, 2004, p. 241-255.

Research output: Contribution to journalArticle

Desouza, Kevin C. ; Thomas, Darrin ; Zhang, Yifeng ; Awazu, Yukika. / Information integrity in healthcare enterprises : Strategies for mitigation of medical errors. In: International Journal of Healthcare Technology and Management. 2004 ; Vol. 6, No. 2. pp. 241-255.
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