International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH)

International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH)

Editors-in-Chief: Sabah Mohammed (Lakehead University, Canada) and Jinan Fiaidhi (Lakehead University, Canada)
Published: Semi-Annually |Established: 2019
ISSN: 2577-4794|EISSN: 2577-4808|DOI: 10.4018/IJEACH


The International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH) is an academic journal for a range of emerging research issues related to the digital transformations in the Healthcare paradigm. Today’s world is wired differently compared to the past few years where almost everything can be made ubiquitously. Extreme connectivity enables more universal, global, and close-to-instant communication. These new business models based on these emerging technologies are mainly focused on collecting and connecting health-related data from all available sources, extracting meaningful information from that data, and providing that information to other players. Extreme automation on the other hand can be coupled with extreme connectivity or even with extreme environment, allowing computing systems to control and manage physical processes and respond in ever more “human” ways in highly connected normal environment or a challenging extreme environment. The journal offers a favorable platform for scientists, researches, students, to make their valuable contributions towards this vital emerging research field.

Topics Covered

  • Ambient Assisted Living
  • Artificial Intelligence and Robotics in Medicine and Health Sciences
  • Big Healthcare Data Analytics
  • Bioinformatics and Biostatistics for Extreme Connectivity
  • Clinical Decision Support Systems for Extreme Connectivity
  • Cloud Based Healthcare ICT
  • Collaborative Communities and Learning
  • Connected Health and Extreme Connectivity
  • Cyber-Physical Healthcare Systems
  • Data Mining, Knowledge Discovery, and Machine Learning in Medicine for Connected Health
  • Data Security and Privacy for Extreme Connectivity
  • e-Health Guidelines and Protocols for Emerging Environments
  • Electronic Health Records for Extreme Connectivity
  • Evaluation and Technology Assessment
  • Fault Tolerance in Healthcare Applications
  • Health Care Information Systems
  • Health Informatics for Extreme Connectivity
  • Healthcare Community Empowerment
  • Healthcare Interoperability for Extreme Connectivity
  • Healthcare Quality Assurance for Extreme Connectivity
  • Healthcare Systems for Extreme Environments
  • Home-Based eHealth for Connected Healthcare
  • Industry 4.0 and Extreme Automation for Healthcare
  • Information Management in Connected Healthcare
  • Intelligent and Self-Organizing Cellular Networks for Healthcare
  • IoT and IIoT for Healthcare
  • Linked Data and Semantic Aware Technologies for Healthcare
  • Location-Aware Medical Device Connectivity and Integration
  • Location-Services for Healthcare
  • M2M, B2C and B2B Communication
  • Medical Devices and Sensors
  • Medical Image Processing and Techniques for Extreme Environments
  • mHealth, Home Health, and Telehealth
  • Mobile Applications for Patient Care
  • Ontological Engineering in Medicine and Healthcare
  • Public Health for Extreme Connectivity
  • Simulation and Modeling
  • Streaming Data Analytics
  • Telemedicine Software, Portals, Devices, and Telehealth for Emerging Environments
  • Trustworthy Data Exchange

Mission and Scope

The International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH) publishes research that satisfies the growing need for innovative approaches to health informatics based on the emerging advancements in connectivity and automation. Extreme automation describes an increased reliance on Artificial Intelligence (AI). It includes technologies like the Internet of Things (IoT), machine-to-machine communications (like sensors), and cognitive systems. Extreme connectivity happens when all of these systems interact and communicate with each other and people in real time in normal or extreme environments. The impact of these new technologies and their associated protocols and services will have a profound effect on all types of healthcare systems. IJEACH is designed to provide planners and policy analysts, practitioners, academicians, vendors and others emerging technologies in healthcare that might support decision-making activities as well as the advancement of research and innovations in this vital area.

Table of Contents and List of Contributors

Search this Journal:
Open Access Articles: Forthcoming
Volume 3: 2 Issues (2021): Forthcoming, Available for Pre-Order
Volume 2: 2 Issues (2020): 1 Released, 1 Forthcoming
Volume 1: 2 Issues (2019)
View Complete Journal Contents Listing


Editor(s)-in-Chief Biography

Dr. Sabah Mohammed research interest is in intelligent systems that have to operate in large, nondeterministic, cooperative, highly connected, survivable, adaptive or partially known domains. His continuous research is inspired by his PhD work back in 1981 from Brunel University (UK) on the employment of the Brain Activity Structures for decision making (planning and learning) that enable processes (e.g. agents, mobile objects) and collaborative processes to act intelligently in their environments to timely achieve the required goals. Having trained in medicine with a computer science PhD in Artificial Intelligence (AI), Dr. Mohammed is full Professor at the department of Computer Science at Lakehead University (Ontario Canada) since 2002 and core professor at the BioTechnology program at Lakehead. Dr. Mohammed efforts in establishing healthcare related programs at Lakehead are notable like the specialization Health informatics, BioTechnology and the Bioinformatics programs at Lakehead. With a research background in industry and academia, he has a strong international research reputation for his work on clinical decision support systems supporting remote areas, ubiquitous and extreme environments. Prior to his work at Lakehead University, Dr. Mohammed was the chair of three computer science departments at HCT, Philadelphia and Applied Science Universities. He is the founder and Editor-In-Chief of the Emerging Technology of Web Intelligence (JETWI) as well as the supervisor of the Smart Health FabLab at Lakehead University. Dr. Mohammed is currently the chair of the special interest group on Smart and Connected Health with the IEEE ComSoc eHealth TC. Dr. Mohammed is currently working on the development of IoT and mobility technologies that have impact on improving healthcare services at remote areas like Northwestern Ontario region. Dr. Mohammed is also a Professional Engineer of Ontario, Information Processing Professional with CIPS and Senior Member of IEEE with research supported by major granting organizations like NSERC and CFI. More information on Dr. Mohammed can be found on his institution website
Dr. Jinan Fiaidhi is a full Professor of Computer Science and the Graduate Coordinator of the PhD program in Biotechnology at Lakehead University, Ontario, Canada since late 2001. She was the grad coordinator for the Lakehead University Computer Science MSc program for the period (2009-2018). She is also an Adjunct Research Professor with the University of Western Ontario. She received her graduate degrees in Computer Science from Essex University (PgD 1983) and Brunel University (PhD, 1986). During the period (1986-2001), Dr. Fiaidhi served at many academic positions (e.g. University of Technology (Asso. Prof and Chairperson), Philadelphia University (Asso. Prof), Applied Science University (Professor), Sultan Qaboos University (Asso. Prof.). Dr. Fiaidhi research is focused on mobile and collaborative learning utilizing the emerging technologies (e.g. Deep Learning, Cloud Computing, Calm Computing, Mobile Learning, Learning Analytics, Social Networking, Croudsourcing, Enterprise Mashups, OpenData, Extreme Automation and Semantic Web). Dr. Fiaidhi research is supported by the major research granting associations in Canada (e.g. NSERC, CFI). Dr. Fiaidhi is a Professional Software Engineer of Ontario (PEng), Senior Member of IEEE, member of the British Computer Society (MBCS) and member of the Canadian Information Society (CIPS) holding the designate of ISP. Dr.Fiaidhi is the chair of Big Data for eHealth special interest research group withe IEEE ComSoc eHealth TC. Moreover Dr. Fiaidhi is the Editor of Extreme Automation Department with and IEEE IT-Professional. More information on her publications and news can be found at her institution web page:

Editorial Board

International Advisory Board
Mohammad AL-Rousan, Jordan University of Science and Technology, Jordan
Daniel Amyot, University of Ottawa, Canada
Hamid Arabnia, University of Georgia, United States
Muhammad Sarfraz, Kuwait University, Kuwait ORCID
Associate Editors
Debnath Bhattacharyya, Vignan's Institute of Information Technology, India
Elizabeth Borycki, University of Victoria, Canada
Christo El Morr, York University, Canada ORCID
Simon Fong, University of Macau, Macao
Muhammad Imran, University of Glasgow, United Kingdom
Donald Juzwishin, Alberta Health Services, Canada
Tai-hoon Kim, Sungshin Women's University, Korea, Republic Of
Carolyn McGregor, University of Ontario Institute of Technology, Canada
Abraham Rudnick, Lakehead University, Canada
Daniel Ruiz Fernandez, University of Alicante, Spain
Editorial Review Board
M. Samir Abou El-Seoud, The British University in Egypt, Egypt
Mohammad AL-Rousan, Jordan University of Science and Technology, Jordan
Qiang (Shawn) Cheng, University of Kentucky, United States
Kevin Curran, Ulster University, United Kingdom
Larbi Esmahi, Athabasca University, Canada
Hussein Fakhry, Zayed University, United Arab Emirates
Subramaniam Ganesan, Oakland University, United States ORCID
Hamada Ghenniwa, University of Western Ontario, Canada
Prabhat Mahanti, University of New Brunswick, Canada
Hua Min, George Mason University, United States
Luiz Moutinho, Dublin City University, United Kingdom
Thirupathi Rao Nakka, Vignan's Institute of Information Technology, India
Kalpdrum Passi, Laurentian University, Canada
Rinkle Rani, Thapar University, India
Muhammad Sarfraz, Kuwait University, Kuwait ORCID
Carlos Zerpa, Lakehead University, Canada
Weizhe Zhang, Harbin Institute of Technology, China


Prospective authors should note that only original and previously unpublished article manuscripts will be considered. Interested authors must consult the Journal Guidelines for Manuscript Submission at PRIOR to submission. Any further questions may be answered at All article manuscript submissions will be forwarded to at least three members of the editorial review board of the journal for a double-blind peer review. The final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers.

All inquiries should be directed to the attention of:

All inquiries should be directed to the attention of:

Dr. Sabah Mohammed, IJEACH EiC
Lakehead University