Introduction to e-Healthcare Information Security

2010 ◽  
pp. 1-27 ◽  
Author(s):  
Charles A. Shoniregun ◽  
Kudakwashe Dube ◽  
Fredrick Mtenzi
Keyword(s):  
Information Security ◽  
Healthcare Information

scholarly journals Fuzzy-Based Symmetrical Multi-Criteria Decision-Making Procedure for Evaluating the Impact of Harmful Factors of Healthcare Information Security

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 664 ◽  
Author(s):  
Rajeev Kumar ◽  
Abhishek Kumar Pandey ◽  
Abdullah Baz ◽  
Hosam Alhakami ◽  
Wajdi Alhakami ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Security ◽  
Information Management ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Multi Criteria Decision Making ◽  
Local Hospital ◽  
Healthcare Information ◽  
Security Breaches ◽  
The Impact

Growing concern about healthcare information security in the wake of alarmingly rising cyber-attacks is being given symmetrical priority by current researchers and cyber security experts. Intruders are penetrating symmetrical mechanisms of healthcare information security continuously. In the same league, the paper presents an overview on the current situation of healthcare information and presents a layered model of healthcare information management in organizations. The paper also evaluates the various factors that have a key contribution in healthcare information security breaches through a hybrid fuzzy-based symmetrical methodology of AHP-TOPSIS. Furthermore, for assessing the effect of the calculated results, the authors have tested the results on local hospital software of Varanasi. Tested results of the factors are validated through the comparison and sensitivity analysis in this study. Tabulated results of the proposed study propose a symmetrical mechanism as the most conversant technique which can be employed by the experts and researchers for preparing security guidelines and strategies.

Development of an E-Healthcare Information Security Risk Assessment Method

2013 ◽  
Vol 24 (1) ◽  
pp. 36-57 ◽  
Author(s):  
June Wei ◽  
Binshan Lin ◽  
Meiga Loho-Noya
Keyword(s):  
Risk Factors ◽  
Information Security ◽  
Information Flow ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Security Risk ◽  
Security Risks ◽  
Healthcare Information ◽  
Information Security Risk

This paper developed a method to assess information security risks in e-healthcare. Specifically, it first developed a static E-Healthcare Information Security Risk (EHISR) model to present thirty-three security risk factors by identifying information security threats and their sources in e-healthcare. Second, a dynamic E-Healthcare Information Flow (EHIF) model was developed to logically link these information risk factors in the EHISR model. Pattern analysis showed that information security risks could be classified into two levels, and versatility analysis showed that the overall security risks for eight information flows were close with a range from 55% to 86%. Third, one quantifiable approach based on a relative-weighted assessment model was developed to demonstrate how to assess the information security risks in e-healthcare. This quantitative security risk measurement establishes a reference point for assessing e-healthcare security risks and assists managers in selecting a reliable information flow infrastructure with a lower security risk level.

Development of an E-Healthcare Information Security Risk Assessment Method

2015 ◽  
pp. 248-269
Author(s):  
June Wei ◽  
Binshan Lin ◽  
Meiga Loho-Noya
Keyword(s):  
Risk Factors ◽  
Information Security ◽  
Information Flow ◽  
Assessment Method ◽  
Risk Level ◽  
Security Risk ◽  
Security Risks ◽  
Healthcare Information ◽  
Information Security Risk ◽  
Security Risk Assessment

This paper developed a method to assess information security risks in e-healthcare. Specifically, it first developed a static E-Healthcare Information Security Risk (EHISR) model to present thirty-three security risk factors by identifying information security threats and their sources in e-healthcare. Second, a dynamic E-Healthcare Information Flow (EHIF) model was developed to logically link these information risk factors in the EHISR model. Pattern analysis showed that information security risks could be classified into two levels, and versatility analysis showed that the overall security risks for eight information flows were close with a range from 55% to 86%. Third, one quantifiable approach based on a relative-weighted assessment model was developed to demonstrate how to assess the information security risks in e-healthcare. This quantitative security risk measurement establishes a reference point for assessing e-healthcare security risks and assists managers in selecting a reliable information flow infrastructure with a lower security risk level.

Healthcare information security and assurance

2018 ◽  
pp. 257-270
Author(s):  
Ulku Yaylacicegi Clark ◽  
Jeffrey G. Baltezegar
Keyword(s):  
Information Security ◽  
Healthcare Information

scholarly journals Structural Model of the Healthcare Information Security Behavior of Nurses Applying Protection Motivation Theory

2021 ◽  
Vol 18 (4) ◽  
pp. 2084
Author(s):  
EunWon Lee ◽  
GyeongAe Seomun
Keyword(s):  
Information Security ◽  
Structural Model ◽  
Information Leakage ◽  
Management Plan ◽  
Protection Motivation Theory ◽  
Moderating Effect ◽  
Protection Motivation ◽  
Motivation Theory ◽  
Sensitive Data ◽  
Healthcare Information

Background: Healthcare information includes sensitive data and, as such, must be secure; however, the risk of healthcare information leakage is increasing. Nurses manage healthcare information in hospitals; however, previous studies have either been conducted on medical workers from various other occupations or have not synthesized various factors. The purpose of this study was to create and prove a model of nurses’ healthcare information security (HIS). The hypothetical model used in this study was constructed on the basis of the protection motivation theory (PMT) proposed by Rogers. Methods: A total of 252 questionnaires scored using a five-point Likert scale were analyzed, incorporating data from nurses who had been working for more than one month in general hospitals with more than 300 beds in South Korea. The survey was conducted over a total of 30 days, from 1 to 30 September 2019. Results: The results showed that coping appraisal significantly influence HIS intentions (estimate = −1.477, p < 0.01), whereas HIS intentions significantly influence HIS behavior (estimate = 0.515, p < 0.001). A moderating effect on the association between coping appraisal and HIS intentions was found in the group of nurses who had been working for <5 years (estimate = −1.820, p < 0.05). Moreover, a moderating effect on the association between HIS intentions and HIS behavior was found in the group of nurses who had been working for <5 years (estimate = 0.600, p < 0.001). Conclusion: The results of this study can be used to develop a management plan to strengthen nurses’ HIS behavior and can be used by nursing managers as a basis for developing education programs.

Healthcare Information Security in the Cyber World

2019 ◽  
pp. 1-56
Author(s):  
Brian S. Coats ◽  
Subrata Acharya
Keyword(s):  
Information Security ◽  
Medical Information ◽  
Holistic Approach ◽  
Meaningful Use ◽  
Accurate Solution ◽  
Technological Solution ◽  
Security Systems ◽  
Healthcare Information ◽  
The Us ◽  
Us Government

Integrity, efficiency, and accessibility in healthcare aren't new issues, but it has been only in recent years that they have gained significant traction with the US government passing a number of laws to greatly enhance the exchange of medical information amidst all relevant stakeholders. While many plans have been created, guidelines formed, and national strategies forged, there are still significant gaps in how actual technology will be applied to achieve these goals. A holistic approach with adequate input and support from all vital partakers is key to appropriate problem modeling and accurate solution determination. To this effect, this research presents a cognitive science-based solution by addressing comprehensive compliance implementation as mandated by the Health Insurance Portability and Accountability Act, the certified Electronic Health Record standard, and the federal Meaningful Use program. Using the developed standardized frameworks, an all-inclusive technological solution is presented to provide accessibility, efficiency, and integrity of healthcare information security systems.

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