Literature DB >> 20153245

Grounding information security in healthcare.

Ana Ferreira1, Luis Antunes, David Chadwick, Ricardo Correia.   

Abstract

PURPOSE: The objective of this paper is to show that grounded theory (GT), together with mixed methods, can be used to involve healthcare professionals in the design and enhancement of access control policies to Electronic Medical Record (EMR) systems.
METHODS: The mixed methods applied for this research included, in this sequence, focus groups (main qualitative method that used grounded theory for the data analysis) and structured questionnaires (secondary quantitative method).
RESULTS: Results showed that the presented methodology can be used to involve healthcare professionals in the definition of access control policies to EMR systems and explore these issues in a diversified and integrated way. The methodology allowed for the generation of great amounts of data in the beginning of the study and in a short time span. Results from the applied methodology revealed a first glimpse of the theories to be generated and integrated, with future research, into access control policies.
CONCLUSIONS: The methodological research described in this paper is very rarely, if ever, applied in developing security tools such as access control. Nevertheless, it can be an effective way of involving healthcare professionals in the definition and enhancement of access control policies and in making information security more grounded into their workflows and daily practices. (c) 2010 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20153245     DOI: 10.1016/j.ijmedinf.2010.01.009

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  2 in total

1.  Critical theory as an approach to the ethics of information security.

Authors:  Bernd Carsten Stahl; Neil F Doherty; Mark Shaw; Helge Janicke
Journal:  Sci Eng Ethics       Date:  2013-11-30       Impact factor: 3.525

2.  We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records.

Authors:  You Chen; Nancy Lorenzi; Steve Nyemba; Jonathan S Schildcrout; Bradley Malin
Journal:  Int J Med Inform       Date:  2014-04-28       Impact factor: 4.046

  2 in total

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