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WISHWell
2024 Edition

Background and Goals: The workshop will bring together researchers from both industry and academia from the various disciplines to contribute to this new edition of the International Workshop on Intelligent Environments Supporting Healthcare and Well-Being. This event previously joined forces with the International Workshop “PervaSense – Situation recognition and medical data analysis in Pervasive Health environments” and the workshop on “Smart Healthcare and Healing Environments”. Healthcare environments (within the hospital and the home) are extremely complex and challenging to manage from an IT and IS perspective, as they are required to cope with an assortment of patient conditions under various circumstances with a number of resource constraints. Pervasive healthcare technologies seek to respond to a variety of these pressures by integrating them within existing healthcare services. It is essential that intelligent pervasive healthcare solutions are developed and correctly integrated to assist health care professionals in delivering high levels of patient care. It is equally important that these pervasive solutions are used to empower patients and relatives for self-care and management of their health to provide seamless access for health care services.

Areas of interest: include, but are not limited to, the following:

Ambient assisted living
Mobile health monitoring
Health enabling technologies
Next generation telehealth/telecare
Systems to encourage healthy lifestyles
Case Studies
Wearable sensor systems
Health monitoring from the home and work (including Telepresence)
Support for independent living
Support for rehabilitation
Environments supporting carers
Decision Support Systems (DSS)
Data management architectures
Body area networks
Ambient Intelligence applied to health and social care

About

Keynote

Speaker: Dr. Shabbir Syed-Abdul  
                Professor of Artificial Intelligence & Digital Health
                Graduate Institute of Biomedical Informatics
                Adjunct Professor at School of Gerontology and Long-Term Care
                Taipei Medical University. Taiwan

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Title:  Empowering Intelligent Environments: Integrating Wearable Technologies and Digital Twins for Enhanced Healthcare and Well-being

Abstract: Amidst rapid technological progress, sensors, wearable devices and digital tools are revolutionizing patient care by offering a broad spectrum of services aimed at the prevention, diagnosis, treatment, and management of a wide array of diseases. Among these innovations, wearable technology stands out as a cutting-edge solution addressing healthcare challenges. The market today is flooded with a variety of wearable healthcare devices, including wristbands, smartwatches, and wearable mobile sensors, each playing a pivotal role in transforming healthcare systems and lightening the load on conventional healthcare infrastructure. 

Wearable devices are instrumental in remote patient monitoring and telehealth, significantly improving access to healthcare services, especially in remote or underserved areas. This movement towards a more decentralized healthcare model not only makes healthcare systems more sustainable by diminishing the reliance on extensive physical infrastructure. The fusion of sensor technology, artificial intelligence (AI), and principles of sustainable design heralds a new era in healthcare delivery that is more patient-oriented, efficient, and environmentally friendly.

Adding to this technological vanguard, the concept of digital twins in healthcare emerges as a game-changer. Digital twins, essentially virtual replicas of physical entities, are now being applied to replicate human physiology in a digital format. This breakthrough allows for personalized medicine to reach unprecedented levels, where healthcare providers can simulate and analyze the effects of various treatments on a patient's virtual counterpart before applying them in real life. This capability not only enhances the precision of medical interventions but also significantly reduces the risk to patients by allowing for thorough scenario testing in a virtual environment.

The synergy between wearable technologies and digital twins is central to creating intelligent environments that support healthcare and well-being. These environments use sensors and AI to monitor health indicators in real-time, offering proactive and personalized care. Despite the potential, challenges in data privacy, cybersecurity, technology interoperability, and regulation need addressing. Overcoming these barriers requires interdisciplinary collaboration to ensure that the evolution of digital health tools is beneficial and sustainable.

The future of healthcare lies in leveraging wearable technologies and digital twins within intelligent environments, promising a more resilient, efficient, and patient-centric healthcare ecosystem.

 

Speaker's Short Bio: Professor Shabbir Syed-Abdul is a strong health informatics research professional with expertise in artificial intelligence and internet of things in healthcare. His research focus revolves around long term care of older adults and early prediction and management of chronic diseases such as cancer, chronic kidney disease, etc. He is a Professor at the Graduate Institute of Biomedical Informatics, a leading researcher and a principal investigator at the International Center for Health Information Technology, Taipei, Taiwan. He has been an educator for MOOCs on FutureLearn since 2015.

Prof. Shabbir performed the role as a physician, a researcher and a principal investigator both in the developed and developing world. This made him to lead advanced global knowledge on the factors that impact on the development of sustainable healthcare, in particular focusing on innovation and ageing populations. He is recognized as a part of the WHO roster of Infodemic managers to support technical assistance in countries in infodemic management and response to health misinformation.

Prof. Shabbir has been actively involved in Social Media in Health research at the Social Media Working Group IMIA (International Medical Informatics Association). He is also a member of the Asia-Pacific Association for Medical Informatics (APAMI) Scientific Program Committee. He has been actively involved in several European Commission funded through H2020 projects.. He was also a part of the ITU Focus Group on Artificial Intelligence for Health (FG AI4H) in partnership with ITU and World Health Organization (WHO).

Prof. Shabbir has an excellent track record of accomplishing projects and publishing over 130 articles in the SCI prestigious journals including The Lancet, BMJ, JAMIA, Journal of Medical Internet Research, Burns, PlosOne and Computer Methods and Programs in Biomedicine.

His major research interests revolve around Artificial Intelligence, Big data analysis and visualisation, Long-term care with Wearable technologies, mHealth, Personal Health Records, Social Network in healthcare and Hospital Information System. Through his work he looks forward to empower care providers and improve patient engagement and patient empowerment. He feels one of the ways to achieve it is to focus on the management and flow of the health/medical information among health care providers and seekers.

Program Committee

Arlene Astell (University of Toronto, Canada)
Maurizio Caon (University of Applied Sciences, Switzerland)
Mercedes Arguello Casteleiro (University of Southampton, UK)
Vicente Ferreira de Lucena Junior (UFAM, Brazil)
Vida Groznik (University of Ljubljana, Slovenia)
Jean Hallewell (University of Applied Sciences, Austria)
Samir Kishore (MDX - Dubai, UAE)
Sofia Ouhbi (Uppsala University, Sweden)
Paul Panek (TU Wien, Austria)
Ivan Miguel Pires (Polytechnic Institute of Santarém, Portugal)
Mario Quinde (Universidad de Piura, Peru)

Dario Salvi (Malmö University, Sweeden)
Mark Springett (MDX - London, UK)
Shabbir Syed-Abdul (Taipei Medical University, Taiwan)
Vladimir Trajkovik (Ss. Cyril and Methodius University, North Macedonia)

Program Committee

Workshop Chairs

Prof. Juan Carlos Augusto
Head of Research Group on the Development of Intelligent Environments,
Department of Computer Science, Middlesex University, London.

 

Dr Anton Gradišek
Institut Jožef Stefan, Slovenia

Organizers
Call for Papers

Call For Papers

Publications: All papers accepted will be published in the proceedings of the event which will be an Open Access volume in the Book Series on Ambient Intelligence and Smart Environments. Workshops Proceedings published by this Book Series are indexed by Clarivate (Web of Science).

The maximum length for papers submitted to this workshop is 10 pages.
 

Formatting files to be used for papers submitted to our workshop:
http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/

Publications in Journals: selected papers will be recommended for expansion and be considered for ublication in the Journal of Smart Cities and Society (which has no submission/publication fees).

Deadline for submission:

  • Paper submission Deadline: 1st of March, 2024                                                                     (a very short extension may be feasible)

  • Notification of acceptance Deadline: 5th of April, 2024

  • Camera-ready version Deadline: 15th of April, 2024

  • Workshop Date: either 17 of June or 18th of June, 2024

Submit your proposed papers through:

CMT WISHWell 2024 submission site

 

Schedule of Activities: (will be published in early June)

 

Attendance: This edition of the workshop will be in a HYBRID modality.

 

Invited Speakers: as in previous editions a distinguished keynote speaker will be invited to the event, more details to be published soon.

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Past Events

This event will build up on the topics discussed during the previous successful editions: in Barcelona during IE’09, in Kuala Lumpur during IE’10, in Nottingham during IE’11, in Guanajuato during IE’12, in Dublin during AmI’13, in Eindhoven during  AmI’14, in London during IE'16, in Rome during IE'18, in Rabat during IE'19, in Madrid during IE'20, in Biarritz during IE'22 and in Mauritius during IE'23.

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