Authentication &amp; Integration Approaches for mHealth Apps from a Usability View

Teng, Zhongwei; Zhang, Peng; Li, Xiao; Nock, William; Gilmore, Denis M.; Rodriguez-Cancio, Marcelino; White, Jules; Nesbitt, Jonathan C.; Schmidt, Douglas C.

doi:10.15598/aeee.v19i1.3301

Cited by 3 publications

(2 citation statements)

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“…e next were learnability and errors (9 times each); effectiveness (7 times) and operability (6 times); memorability, usefulness, flexibility, consistency, and understandability (5 times); privacy and acceptability (4 times); simplicity, interactivity, and aesthetics (3 times); accuracy and universality (2 times); and reliability and objectivity (1 time). Ease of use ese studies compared content with the targeted users to assess ease of use and acceptability of mobile health apps using a rating scale Acceptability [48][49][50][51][52] is shows that, in order to further enhance the capabilities of mobile eHealth applications, it is essential to enhance the accuracy and reliability of the eHealth applications.…”

Section: Ehealth Mobile Appsmentioning

confidence: 99%

Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications

Alzahrani

Gay

Alturki

et al. 2021

Journal of Healthcare Engineering

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Mobile application (app) use is increasingly becoming an essential part of our daily lives. Due to their significant usefulness, people rely on them to perform multiple tasks seamlessly in almost all aspects of everyday life. Similarly, there has been immense progress in artificial intelligence (AI) technology, especially deep learning, computer vision, natural language processing, and robotics. These technologies are now actively being implemented in smartphone apps and healthcare, providing multiple healthcare services. However, several factors affect the usefulness of mobile healthcare apps, and usability is an important one. There are various healthcare apps developed for each specific task, and the success of these apps depends on their performance. This study presents a systematic review of the existing apps and discusses their usability attributes. It highlights the usability models, outlines, and guidelines proposed in previous research for designing apps with improved usability characteristics. Thirty-nine research articles were reviewed and examined to identify the usability attributes, framework, and app design conducted. The results showed that satisfaction, efficiency, and learnability are the most important usability attributes to consider when designing eHealth mobile apps. Surprisingly, other significant attributes for healthcare apps, such as privacy and security, were not among the most indicated attributes in the studies.

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Section: Ehealth Mobile Appsmentioning

confidence: 99%

Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications

Alzahrani

Gay

Alturki

et al. 2021

Journal of Healthcare Engineering

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show abstract

“…However, these systems do not address the need for individual and personalized services for people in SUD recovery and sharing their records with critical health resources to provide service continuity. They also do not address one of the critical challenges in this population to adhere to Federal regulations and user perceptions of privacy and security while also providing a usable application that facilitates users' accomplishing mission critical goals (Teng et al, 2021). The system reported herein attempts to address these challenges.…”

Section: Software Systems To Support Sudmentioning

confidence: 99%

Capacity Balancing Algorithm for Placement of Observation Patients: Assessing the Effect on ED Crowding

Tilson,

Xiao,

Pachamanova

et al. 2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Software initiatives that collect, store, and share substance use disorder (SUD) patient data experience significant barriers, including additional patient privacy and confidentiality requirements beyond HIPAA. This paper reports on a design science research effort aimed at managing peer support and clinician interactions with individuals with SUD and sharing their pertinent information with emergency rooms (ERs). Privacy and confidentiality challenges are presented along with the resulting system design that was implemented in the state of Alabama. A usability and security survey was administered to system end users (n=18) to assess information security perceptions. Findings suggest respondents were satisfied with the system, while several users felt that the system was unnecessarily complex due to MFA and auto-log off features. Specific confidentiality considerations and logic mechanisms should be designed into the application functionality at the project outset to facilitate transitions of care benefits for SUD patients.

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Analyzing Security Vulnerabilities in Solo-Developed mHealth Applications: A Systematic Literature Review

Turugare,

Shava,

Chitauro

2023

2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

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Authentication & Integration Approaches for mHealth Apps from a Usability View

Cited by 3 publications

References 0 publications

Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications

Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications

Capacity Balancing Algorithm for Placement of Observation Patients: Assessing the Effect on ED Crowding

Analyzing Security Vulnerabilities in Solo-Developed mHealth Applications: A Systematic Literature Review

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