Title: Information integrity in healthcare enterprises: strategies for mitigation of medical errors

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

Addresses: Department of Information and Decision Sciences, University of Illinois at Chicago, 601 South Morgan Street, M/C 294, Chicago, IL 60607, USA. ' Department of Information and Decision Sciences, University of Illinois at Chicago, 601 South Morgan Street, M/C 294, Chicago, IL 60607, USA. ' Department of Information and Decision Sciences, University of Illinois at Chicago, 601 South Morgan Street, M/C 294, Chicago, IL 60607, USA. ' YA Research and Solutions, 555 West Madison Street, Tower 1, Suite 3705, Chicago, IL 60606, USA

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.

Keywords: data mining; information integrity; knowledge management; human-machine; medical errors; semiotics; healthcare; information processing.

DOI: 10.1504/IJHTM.2004.004979

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

Published online: 04 Aug 2004 *

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