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

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

doi:10.1504/IJHTM.2004.004979

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

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

Arizona State University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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 language	English (US)
Pages (from-to)	241-255
Number of pages	15
Journal	International Journal of Healthcare Technology and Management
Volume	6
Issue number	2
DOIs	https://doi.org/10.1504/IJHTM.2004.004979
State	Published - 2004

Keywords

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

ASJC Scopus subject areas

Leadership and Management
Health Informatics

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10.1504/IJHTM.2004.004979

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AB - 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.

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KW - Knowledge management

KW - Man-machine

KW - Medical errors

KW - Semiotics

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

Abstract

Keywords

ASJC Scopus subject areas

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