eHealth and mHealth—2nd Edition

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: 30 November 2026 | Viewed by 2207

Editors

eHealth Institute, FH JOANNEUM University of Applied Sciences, 8020 Graz, Austria
Interests: health informatics; personal health; eHealth; mHealth
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
eHealth Institute, FH JOANNEUM University of Applied Sciences, 8020 Graz, Austria
Interests: AI; eHealth; mHealth
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Biomedical Engineering, University of Applied Sciences Technikum Wien, 1200 Vienna, Austria
Interests: medical engineering; eHealth
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

eHealth, or electronic health, signifies the utilization of information and communication technologies (ICTs) to fortify and elevate health and healthcare. This comprehensive concept encompasses a diverse array of applications, services, and systems designed to facilitate the electronic management of health information. It fosters seamless communication between healthcare providers and patients, ultimately enhancing the delivery of healthcare services.

Moreover, mHealth, or mobile health, is the strategic use of mobile devices, including smartphones, tablets, wearables, and wireless technologies. Its purpose is to bolster healthcare delivery, amplify health outcomes, and provide accessible health-related information and services.

These transformative trends have the potential to disrupt the healthcare system, ushering in a paradigm shift towards predictive, prevention-focused, and personalized service delivery, underpinned by the utilization of digital data. The emergence of new services holds the promise of actively involving participants in their own journey towards maintaining good health and reshaping how they receive healthcare services.

In unison, eHealth and mHealth contribute synergistically to the ongoing digitization and advancement of the healthcare landscape, marking a pivotal era of innovation and enhanced patient-centric care.

Topics include, but are not limited to, the following:

  • Usability and user experience in health apps;
  • The effectiveness of mobile health interventions;
  • Data security and privacy in eHealth;
  • The integration of wearables and IoT in healthcare;
  • Machine learning and predictive analytics in eHealth;
  • Telemedicine and remote patient monitoring;
  • Behavioral interventions through mobile apps;
  • Ethical considerations in eHealth and mHealth;
  • Human-centered design for health technologies.

Dr. Sten Hanke
Dr. Bernhard Neumayer
Prof. Dr. Stefan Sauermann
Guest Editors

Manuscript Submission Information

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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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet 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 1800 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

  • eHealth
  • mHealth
  • wearables
  • telemedicine
  • interoperability
  • mobile apps
  • standards
  • patient empowerment

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Research

31 pages, 2824 KB  
Article
A Digital Health Platform for Remote and Multimodal Monitoring in Neurodegenerative Diseases
by Adrian-Victor Vevera, Marilena Ianculescu and Adriana Alexandru
Future Internet 2025, 17(12), 571; https://doi.org/10.3390/fi17120571 - 13 Dec 2025
Cited by 1 | Viewed by 1497
Abstract
Continuous and personalized monitoring are beneficial for patients suffering from neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease and multiple sclerosis. However, such levels of monitoring are seldom ensured by traditional models of care. This paper presents NeuroPredict, a secure edge–cloud Internet of [...] Read more.
Continuous and personalized monitoring are beneficial for patients suffering from neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease and multiple sclerosis. However, such levels of monitoring are seldom ensured by traditional models of care. This paper presents NeuroPredict, a secure edge–cloud Internet of Medical Things (IoMT) platform that addresses this problem by integrating commercial wearables and in-house sensors with cognitive and behavioral evaluations. The NeuroPredict platform links high-frequency physiological signals with periodic cognitive tests through the use of a modular architecture with lightweight device connectivity, a semantic integration layer for timestamp alignment and feature harmonization across heterogeneous streams, and multi-timescale data fusion. Its use of encrypted transport and storage, role-based access control, token-based authentication, identifier separation, and GDPR-aligned governance addresses security and privacy concerns. Moreover, the platform’s user interface was built by considering human-centered design principles and includes role-specific dashboards, alerts, and patient-facing summaries that are meant to encourage engagement and decision-making for patients and healthcare providers. Experimental evaluation demonstrated the NeuroPredict platform’s data acquisition reliability, coherence in multimodal synchronization, and correctness in role-based personalization and reporting. The NeuroPredict platform provides a smart system infrastructure for eHealth and remote monitoring in neurodegenerative care, aligned with priorities on wearables/IoMT integration, data security and privacy, interoperability, and human-centered design. Full article
(This article belongs to the Special Issue eHealth and mHealth—2nd Edition)
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