Advances on networked ehealth information access and sharing: Status, challenges and prospects

Aski, Vidyadhar; Dhaka, Vijaypal Singh; Kumar, Sunil; Verma, Sahil; Rawat, Danda B.

doi:10.1016/j.comnet.2021.108687

Cited by 9 publications

(2 citation statements)

References 159 publications

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“…EHRs' implementation strategies heavily rely on interoperable systems and platforms, which also account for IoT-related tools and services (I1 + , I2 + ) 22 38 47 48 49 50 51 52…”

Section: Resultsmentioning

confidence: 99%

One Digital Health for more FAIRness

Tamburis

Benis

2022

Methods Inf Med

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Background: One Digital Health (ODH) aims to propose a framework that merges One Health’s and Digital Health’s specific features into an innovative landscape. FAIR (Findable, Accessible, Interoperable, and Reusable) principles consider applications and computational agents (or in other terms, data, metadata, and infrastructures) as stakeholders with the capacity to find, access, interoperate, and reuse data with none or minimal human intervention. Objectives: This paper aims to elicit how the One Digital Health framework is compliant with FAIR principles and metrics, providing some thinking guide to investigate and define whether adapted metrics need to be figured out for an effective ODH Intervention setup. Methods: An integrative analysis of the literature was conducted in order to extract instances of the need - or of the eventual already existing deployment - of FAIR principles, for each of the three layers (keys, perspectives, dimensions) of the ODH framework. The scope was to assess the extent of scatteredness in pursuing the many facets of FAIRness, descending from the lack of a unifying and balanced framework. Results: A first attempt to interpret the different technological components existing in the different layers of the ODH framework, in the light of the FAIR principles, was conducted. Although the mature and working examples of workflows for data FAIRification processes currently retrievable in the literature provided a robust ground to work from, a non-suitable capacity to fully assess FAIR aspects for highly interconnected scenarios, which the ODH-based are, has emerged. Rooms for improvement are anyway possible to timely deal with all the underlying features of topics like the delivery of health care in a syndemic scenario, the digital transformation of human and animal health data, or the digital nature conservation through digital technology-based intervention. Conclusions: ODH pillars account for the availability (findability, accessibility) of human, animal, and environmental data allowing a unified understanding of complex interactions (interoperability) over time (reusability). A vision of integration between these two worlds, under the vest of ODH Interventions featuring FAIRness characteristics, towards the development of a systemic lookup of health and ecology in a digitalized way, is therefore auspicable.

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“…EHRs' implementation strategies heavily rely on interoperable systems and platforms, which also account for IoT-related tools and services (I1 + , I2 + ) 22 38 47 48 49 50 51 52…”

Section: Resultsmentioning

confidence: 99%

One Digital Health for more FAIRness

Tamburis

Benis

2022

Methods Inf Med

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“…For this reason, 677 individuals concurred with the examination performed for twelve elements of mobile medical applications regarding point of interaction. The studies posed various inquiries about convenience assessment in settings with easiness, learnability, memorability, adequacy, productivity and satisfaction [36][37]. The study uses Google Forms for gathering their reactions because of the coronavirus pandemic, likewise, lead Zoom meetings for direction about this review and top of the reactions.…”

Section: F Analysis Via Experimental Design IImentioning

confidence: 99%

ML-based Meta-Model Usability Evaluation of Mobile Medical Apps

Hamid,

Ibrar,

Delshadi

et al. 2024

IJACSA

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Mobile medical applications (MMAPPs) are one of the recent trends in mobile trading applications (Apps).MMAPPs permit users to resolve health issues easily and effectively in their place. However, the primary issue is effective usability for users in maps. Barely any examination breaks down usability issues subject to the user's age, orientation, trading accessories, or experience. The motivation behind this study is to decide the level of usability issues, concerning traits and experience of versatile clinical clients. The review utilizes a quantitative technique and performs client try and hypothetical insight through the survey by 677 members with six distinct assignments on the application's point of interaction. The posttry review is finished with concerning members. The Response surface method (RSM) is used for perceptional and experimental designs. In each case, participants are divided into 13 runs or groups. Experimental groups are involved after checking the perceptions about theoretical usability for different attributes according to the usability model through the questionnaire. The difference is recorded between the perception of users about usability (theoretical usability) and actual performance for usability. The study analyzed through Analysis of variance (ANOVA) that there is a need to improve mobile medical applications but it is also recommended to minimize the gap between the perception level of laymen and the actual performance of IT literate users in context with usability. The experimentation measures the tasks usability of various mobile medical applications concerning their effectiveness, efficiency, completeness, learnability, memorability, easiness, complexity, number of errors and satisfaction. Every design model also produces a mathematical expression to calculate usability with its attributes. The results of this study will help to improve the usability of MMAPPs for users in their convenient context.

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