Share This Special Issue

Special Issue Editors

E-Mail Website
Guest Editor

International Center for Materials and Nanoarchitectronics (MANA), Research Center for Advanced Measurement and Characterization (RCAMC), National Institute for Materials Science (NIMS), 1-2-1 Sengen, Main Bldg, Tsukuba 815, Japan
Interests: bioinformatics; information theory; modelling human brain; dielectric resonance of biomaterials; proteins; neuron; organic jelly-based neuromorphic device; artificial brain; molecular robots for drug delivery
Special Issues, Collections and Topics in MDPI journals

Dr. Kanad Ray

E-Mail Website1 Website2
Guest Editor

Dept. of Physics, Amity School of Applied Sciences, Amity University Rajasthan, Kant Kalwar, NH-11C, Jaipur, India
Interests: cognition; antenna; bioelectromagnetics; plasmonics; applied physics; consciousness
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The TEHI (Trends in Electronics and Health Informatics, https://www.tehi.one/) conference series is being developed in view of being the world's premier creative research forum on electronics and health informatics. This is an emerging interdisciplinary and multidisciplinary research field comprising combined contributions from artificial intelligence and soft computing, healthcare information, IoT and data analytics, electronics and communication technology. The conference is organized by IIOIR (www.iioir.org), and its objective is to bring together researchers, educators, and business professionals involved in related fields of research and development. The associated Special Issue is to be published by Information, a journal published by MDPI that covers the above topics in addition to all special features covered in the TEHI conference series. Interested authors can submit their manuscript directly to Information or via the dedicated website for TEHI, whereby all publications that are part of this conference Special Issue will be entitled to a 30% discount.

Authors of invited papers should be aware that the final submitted manuscript must provide a minimum of 50% new content and not exceed 30% of content directly taken from the Proceedings paper.

Dr. Anirban Bandyopadhyay
Dr. Kanad Ray
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

artificial intelligence and soft computing
healthcare informatics
IoT and data analytics
electronics
communication

Published Papers (1 paper)

Research

Open AccessArticle

Rebuilding Stakeholder Confidence in Health-Relevant Big Data Applications: A Social Representations Perspective

Anthony M. Maina

and

Upasana G. Singh

Information 2022, 13(9), 441; https://doi.org/10.3390/info13090441 - 19 Sep 2022

Viewed by 956

Abstract

Big data applications are at the epicentre of recent breakthroughs in digital health. However, controversies over privacy, security, ethics, accountability, and data governance have tarnished stakeholder trust, leaving health-relevant big data projects under threat, delayed, or abandoned. Taking the notion of big data as social construction, this work explores the social representations of the big data concept from the perspective of stakeholders in Kenya’s digital health environment. Through analysing the similarities and differences in the way health professionals and information technology (IT) practitioners comprehend the idea of big data, we draw strategic implications for restoring confidence in big data initiatives. Respondents associated big data with a multiplicity of concepts and were conflicted in how they represented big data’s benefits and challenges. On this point, we argue that peculiarities and nuances in how diverse players view big data contribute to the erosion of trust and the need to revamp stakeholder engagement practices. Specifically, decision makers should complement generalised informational campaigns with targeted, differentiated messages designed to address data responsibility, access, control, security, or other issues relevant to a specialised but influential community. Full article

(This article belongs to the Special Issue Trends in Electronics and Health Informatics)

► Show Figures

Figure 1

Journal Menu

Journal Browser

Special Issue "Trends in Electronics and Health Informatics"

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (1 paper)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI