Literature DB >> 24141530

Fuzzy assessment of health information system users' security awareness.

Özlem Müge Aydın1, Oumout Chouseinoglou.   

Abstract

Health information systems (HIS) are a specific area of information systems (IS), where critical patient data is stored and quality health service is only realized with the correct use and efficient dissemination of this data to health workers. Therefore, a balance needs to be established between the levels of security and flow of information on HIS. Instead of implementing higher levels and further mechanisms of control to increase the security of HIS, it is preferable to deal with the arguably weakest link on HIS chain with respect to security: HIS users. In order to provide solutions and approaches for transforming users to the first line of defense in HIS but also to employ capable and appropriate candidates from the pool of newly graduated students, it is important to assess and evaluate the security awareness levels and characteristics of these existing and future users. This study aims to provide a new perspective to understand the phenomenon of security awareness of HIS users with the use of fuzzy analysis, and to assess the present situation of current and future HIS users of a leading medical and educational institution of Turkey, with respect to their security characteristics based on four different security scales. The results of the fuzzy analysis, the guide on how to implement this fuzzy analysis to any health institution and how to read and interpret these results, together with the possible implications of these results to the organization are provided.

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Mesh:

Year:  2013        PMID: 24141530     DOI: 10.1007/s10916-013-9984-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  16 in total

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Authors:  A M Badawi; A S Derbala; A M Youssef
Journal:  Int J Med Inform       Date:  1999-08       Impact factor: 4.046

2.  Diagnosis of arthritis through fuzzy inference system.

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Review 3.  Evaluation of health information systems-problems and challenges.

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Journal:  Int J Med Inform       Date:  2003-09       Impact factor: 4.046

4.  Health information systems challenges: the Heidelberg conference and the future.

Authors:  Dario A Giuse; Klaus A Kuhn
Journal:  Int J Med Inform       Date:  2003-03       Impact factor: 4.046

5.  Stimulating the adoption of health information technology.

Authors:  David Blumenthal
Journal:  N Engl J Med       Date:  2009-03-25       Impact factor: 91.245

6.  Design of Web-based Fuzzy Input Expert System for the analysis of serology laboratory tests.

Authors:  Fatih Başçiftçi; Hayri Incekara
Journal:  J Med Syst       Date:  2011-03-29       Impact factor: 4.460

Review 7.  Driving toward guiding principles: a goal for privacy, confidentiality, and security of health information.

Authors:  S A Buckovich; H E Rippen; M J Rozen
Journal:  J Am Med Inform Assoc       Date:  1999 Mar-Apr       Impact factor: 4.497

8.  An evolutionary-fuzzy DSS for assessing health status in multiple sclerosis disease.

Authors:  Massimo Esposito; Ivanoe De Falco; Giuseppe De Pietro
Journal:  Int J Med Inform       Date:  2011-10-01       Impact factor: 4.046

Review 9.  Health information systems - past, present, future.

Authors:  Reinhold Haux
Journal:  Int J Med Inform       Date:  2005-09-19       Impact factor: 4.046

Review 10.  Risky business: emotion, decision-making, and addiction.

Authors:  Antoine Bechara
Journal:  J Gambl Stud       Date:  2003
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  2 in total

1.  The Impact of the Security Competency on "Self-Efficacy in Information Security" for Effective Health Information Security in Iran.

Authors:  Ahmad Bakhtiyari Shahri; Zuraini Ismail; Shahram Mohanna
Journal:  J Med Syst       Date:  2016-09-28       Impact factor: 4.460

2.  The role of undergraduate medical students training in respect for patient confidentiality.

Authors:  Cristina M Beltran-Aroca; Rafael Ruiz-Montero; Fernando Labella; Eloy Girela-López
Journal:  BMC Med Educ       Date:  2021-05-12       Impact factor: 2.463

  2 in total

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