Protecting healing relationships in the age of electronic health records: report from an international conference

Toll, Elizabeth; Alkureishi, Maria Alcocer; Lee, Wei Wei; Babbott, Stewart; Bain, Philip A.; Beasley, John W.; Frankel, Richard M.; Loveys, Alice A.; Wald, Hedy S.; Woods, Susan; Hersh, William R.

doi:10.1093/jamiaopen/ooz012

Cited by 9 publications

(10 citation statements)

References 57 publications

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“…After that, the weights of characteristics are provided as inputs to the TOPSIS model to determine the final alternative ranking. Toll et al [14]-This research study identified the most suitable technique of authentication for smart phone banking service by using ANP procedure. Authors of this paper considered three criteria (security, convenience and cost) with eleven sub-elements, three sub-networks and four alternatives to create the whole network.…”

Section: Previous Workmentioning

confidence: 99%

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Fuzzy Based Decision-Making Approach for Estimating Usable-Security of Healthcare Web Applications

Alzahrani¹

2021

Computers, Materials &Amp; Continua

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Usability and security are often considered contradictory in nature. One has a negative impact on the other. In order to satisfy the needs of users with the security perspective, the relationship and trade-offs among security and usability must be distinguished. Security practitioners are working on developing new approaches that would help to secure healthcare web applications as well increase usability of the web applications. In the same league, the present research endeavour is premised on the usable-security of healthcare web applications. For a compatible blend of usability and security that would fulfill the users' requirments, this research proposes an integration of the Fuzzy AHP-TOPSIS method for assessing usable-security of healthcare web applications. Since the estimation of security-usability accrately is also a decision making problem, the study employs Multiple Criteria Decision Analysis (MCDA) for selecting the most decisive attributes of usability as well as security. Furthermore, this study also pinpoints the highest priority attributes that can strengthen the usable-security of the healthcare web applications. The effectiveness of the suggested method has been tested on the healthcare web applications of local hospitals in Mecca, Saudi Arabia. The results corroborate that Fuzzy AHP-TOPSIS is indeed a reliable technique that will help the developers to design a healthcare web applications that delivers optimum usable-security.

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Section: Previous Workmentioning

confidence: 99%

“…Many practitioners have been successful in assessing the constant outcomes by using the Fuzzy-TOPSIS method [13,14]. Unfortunately, specific guidelines have not yet been given for assigning quantitative from qualitative weights of characteristics.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Based Decision-Making Approach for Estimating Usable-Security of Healthcare Web Applications

Alzahrani¹

2021

Computers, Materials &Amp; Continua

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“…From the experimental investigation presented by the study, 92.3 percent of people agreed on the concepts of security provided to them and also considered the concept to be functional.  In 2019, Toll, E. T., et al represented a new approach in their thesis for CAPTCHA challenge for usable-security by using infrared spectroscopy approach [23]. This study experimentally investigated text-based CAPTCHA with various techniques which further included 25 participants.…”

Section: Previous Workmentioning

confidence: 99%

Evaluating the Usable-Security of Healthcare Software Through Unified Technique of Fuzzy Logic, ANP and TOPSIS

Al-Zahrani

2020

IEEE Access

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The current research efforts in the security domain are essentially inspired by the intention to ensure both healthcare software's security and usability. Practitioners are continuously working on techniques that can optimise security while affording the ease of use. Inspite of the numerous efforts by the developers and security experts in this context, the level of usability-security is not the same as it should be. Furthermore, it is important to do more work on the most effective strategies for evaluating and increasing the usable-security of healthcare technology. Quantitative usability and security assessment is an important part of increasing the standards of software security especially with regard to software used in healthcare. This study's objective, in particular, is to evaluate the usability-security of healthcare software. Thereafter, based on the empirical analysis of comprehensive data, the study recommends the strategies that would facilitate in designing healthcare software with optimum safety while preserving its' usability. Decision makers often find it difficult to integrate highly secure software with maximum usability while developing the software. Hence, this research endeavour enlists the assimilation of usability and safety with their contributory attributes. Moreover, this study proposes the use of a novel technique of combining the Analytic Network Method (ANP), Fuzzy Sets (FS), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to test usability together with security. The researchers employed the suggested methodology on six applications of the hospital management systems in Mecca, Saudi Arabia, to ascertain the utility of the FS-AHP-TOPSIS hybrid solution technique. Usability results along with security assessment corroborated that the most accurate and effective method for evaluating the usable-security of healthcare applications will be this innovative hybrid approach. Most relevantly, these findings will be useful in the security management without impacting the usability for the end users.

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“…Thus, it is evident that the issue of information security is has been a contentious issue for a long time now and many researchers are working on this from different perspectives [3,4]. But the challenges and criticalness of this issue demand a more justified solution for information security assurance in healthcare [5,6]. Buoyed by this intent, the contributors of this study have tried to provide a systematic approach for the experts to understand the types of factors that are affecting the healthcare information security and create exploitation possibilities in the healthcare sector.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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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.

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Protecting healing relationships in the age of electronic health records: report from an international conference

Cited by 9 publications

References 57 publications

Fuzzy Based Decision-Making Approach for Estimating Usable-Security of Healthcare Web Applications

Fuzzy Based Decision-Making Approach for Estimating Usable-Security of Healthcare Web Applications

Evaluating the Usable-Security of Healthcare Software Through Unified Technique of Fuzzy Logic, ANP and TOPSIS

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

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