Special Issue "New Advances in E-Health"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (31 January 2019) | Viewed by 4189

Special Issue Editor

Department of Computer Science and Engineering of Systems, University of Zaragoza, 50001 Teruel, Spain
Interests: mobile applications for health and well-being; Internet of things; wearable sensors; big data; datamining; agent-based simulation and multi-agent systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Information technologies have improved the ways of storing, analyzing, and communicating health data conforming the e-health field. For instance, patients can keep a diary of the systems through a mobile or a web application and share this diary with their doctors. In addition, doctors can operate on patients with a high precision by means of robot-assisted surgery. Doctors can also diagnose patients by remotely analyzing X-ray photographs. Health insurance companies also provide some basic services, such as authorizing operations, accessing some personal medical records and searching for nearby specialized doctors by means of both websites and mobile applications. In a broader context, some mobile applications encourage users to practice some healthy habits related to nutrition, physical exercise and meditation among others.

E-health raised some challenges such as maintaining security and privacy in e-health systems. Technologies, such as Internet of things (IoT), can improve e-health systems by means of devices such as home sensors, smart beds, wearable sensors (e.g., smart bands, smart watches, and smart belts), and hospital equipment connected to the Internet. Moreover, e-health systems can store huge amounts of health data. Thus, big data techniques may be applied to store, visualize, and analyze all these data. Furthermore, the real-time communication of these data may be accomplished with 5G networks, providing new opportunities in fields like remote surgery.

This Special Issue aims at collecting current research works on the broad meaning of e-health systems. Thus, authors are encouraged to submit original papers in this field. Potential topics include, but are not limited to:

  • 5G networks for e-health
  • Agent-based simulation for e-health systems
  • Automatic diagnosis by e-health systems subject to human doctor confirmation
  • Big data in e-health systems
  • Datamining in e-health
  • E-health for monitoring patients
  • Extraction of knowledge from e-health data
  • IoT for e-health
  • Mobile applications for e-health and well-being
  • Multi-agent systems for implementing e-health systems
  • Online systems for preliminary automatic diagnostics
  • Remote surgery
  • Security and privacy in e-health systems
  • Wearable sensors for e-health
  • Web applications for providing health assistance
  • Web services for e-health

Dr. Iván García-Magariño
Guest Editor

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. 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 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.


  • automatic diagnosis
  • big data
  • datamining
  • e-health
  • health apps
  • Internet of things
  • m-health
  • wearable sensors

Published Papers (1 paper)

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15 pages, 2469 KiB  
A Framework for Improving the Engagement of Medical Practitioners in an E-Training Platform for Tuberculosis Care and Prevention
Future Internet 2019, 11(1), 6; https://doi.org/10.3390/fi11010006 - 28 Dec 2018
Cited by 1 | Viewed by 3810
We propose a new framework to improve the engagement of medical practitioners in a planned e-training platform for the successful identification and effective management of presumptive cases of tuberculosis (TB) in Pakistan. Our work is aligned with the World Health Organization’s TB-DOTS (Directly [...] Read more.
We propose a new framework to improve the engagement of medical practitioners in a planned e-training platform for the successful identification and effective management of presumptive cases of tuberculosis (TB) in Pakistan. Our work is aligned with the World Health Organization’s TB-DOTS (Directly Observed Treatment Short-course) strategy for promoting the effective management of tuberculosis. We start by presenting previous work done at Mercy Corps Pakistan for training medical practitioners, then present the results of a recent survey we administered to a random sample of medical practitioners in Pakistan to learn about their requirements and readiness to embrace a new e-training platform and methodology. Informed by feedback from the survey, we formulated a detailed requirement analysis of the five key learning areas (or phases) that we believe are fundamental to the success of a TB e-training platform. Moreover, survey results revealed that an on-spot, on-demand, and competency-based learning tool can potentially improve the engagement of medical practitioners in the process. Building on the insights gained from the survey, we finally describe our initial UX (user experience) prototypes for phase 1, which corresponds to the identification of presumptive tuberculosis cases. Full article
(This article belongs to the Special Issue New Advances in E-Health)
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