Paper submission due date : July, 14th 2024
Notification to authors : July, 31st 2024
Camera-ready papers due : September 13th 2024
Quality and expenditure control in healthcare have become key objectives for authorities in both developed and developing countries. The digital transformation of the sector has shown great promise in responding to these objectives and addressing the challenges of health services, particularly those related to the ageing of the population, the increase in chronic diseases and the personalisation of medicine. Indeed, the rapid proliferation of mobile and Internet of Things (IoT) devices, and the presence of the digital network anywhere and anytime, will enable quality improvements in healthcare services, often at short notice, providing personalized patient care, reducing the number and duration of hospital stays, enabling continuous patient monitoring and designing efficient and safe home care.
The recent development and use of artificial intelligence and analytics techniques to use big data in healthcare to develop new and improved methods of disease surveillance, improve diagnosis and early detection of disease, discover new treatments, uncover new drug side effects or interactions, and design and study the use of decision-making methods and IT solutions in order to improve the performance and safety of the patient pathway management, both, in and out of hospital. The recent challenges presented by COVID-19 are examples of the need to maximise the optimisation of healthcare functions and services. Digital transformation, including the development of new IT innovations and disruptive approaches and the use of e-health services, is a key solution to address these challenges.
Digital transformation, which is already underway in many countries, is defined for a health organisation as a process of fully integrating digital technologies into all of its activities in order to improve its performance. It is characterised not only by technical development, but also by the establishment of a new way of working, an attitude, and a commitment to networked, global thinking, to improve healthcare through the use of ICT. Consequently, it profoundly alters the regulations and methodologies employed in the administration of the healthcare system, thereby striving to devise novel and innovative informatics solutions to facilitate, reinforce, and utilise this transformation. As the digital transformation of the healthcare brings significant advances to the care system, it also requires significant changes in the behaviour of healthcare stakeholders. Like any major change in norms and practices, this transition would also face resistance, barriers and fears it can generate. As such, it presents hospital organisations with a real problem in driving the change amongst their staff. Many employees may feel disoriented and overwhelmed by the new ways and practices. They may see digital transformation as a risk rather than an opportunity. In order for them to become engaged actors in this process, rather than being subjected to it, it is essential that health institutions involve their staff and provide them with the means to manage and drive this change.
To that purpose, both the development of IT innovations and disruptive approaches, and as well as the adoption and deployment of IT solutions in healthcare environments, combined with education and training in digital health, are fundamental prerequisites, not only for the widespread adoption but also for the effective use of e-health solutions and a key to the success of digital transformation in healthcare. Digital health education and training, based on health informatics, should be targeted at all types of stakeholders involved in the health ecosystem and should be based on innovative educational methods and adapted to the profiles of these stakeholders.
The workshop will provide a research-rich environment to address the challenges and support the development of new novel and disruptive approaches that pave the way for improved public health and personalised medicine. As COVID-19 is one of the most challenging communicable and infectious diseases in many countries, research related to the development of innovative solutions to improve early surveillance, detection, diagnosis or treatment of infectious diseases will be supported. It’s in this context that this workshop has been designed to bring together researchers and practitioners to share research results, advances and practical related experiences in this field.
Workshop Chair and Co-Chairs
Niederrhein University of Applied Sciences, Germany (Chair)
Jordan University of Science and Technology, Jordan (Co-Chair)
Birzeit University, Palestine/ Kings College London, UK (Co-Chair)
ISITCom, University of Sousse, Tunisia (Local Chair)
CGI, IMT Mines Albi - ISIS, INU Champollion, Castres, France (Co-Chair)
Manuscripts must be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column conference format. All papers should be exported in PDF format and should be anonymous, as IEEE AICCSA conducts a double-blind review process. The papers must be submitted electronically via EasyChair at: https://easychair.org/conferences/?conf=aiccsa2024
The workshop will provide a research-rich environment to address the challenges and support the development of new novel and disruptive approaches that pave the way for improved public health and personalised medicine. As COVID-19 is one of the most challenging communicable and infectious diseases in many countries, research related to the development of innovative solutions to improve early surveillance, detection, diagnosis or treatment of infectious diseases will be supported. It’s in this context that this workshop has been designed to bring together researchers and practitioners to share research results, advances and practical related experiences in this field.
Submitted papers must be original work and should not be under consideration for any other conference or journal. Ensure that you adhere to the formatting guidelines: manuscripts must be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format and must not exceed 6 pages, including all figures, tables, and references. Use the appropriate IEEE template for conference proceedings to prepare your revised manuscript, available at: href="http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
Please, do not include headers, footers, or page numbers in your final submission. Verify that your document is IEEE Xplore-compatible and use the recommended templates when preparing your camera-ready version. Convert your manuscript to a PDF document.
Authors of accepted papers must sign the IEEE copyright form. At least one author of each accepted paper is required to attend and present the paper at the workshop.
Manuscripts must be prepared following the IEEE 8.5″ x 11″ two-column conference format, not exceed 8 pages, and be anonymous due to the double-blind review process managed by IEEE AICCSA. Submit your papers electronically via EasyChair at:https://easychair.org/conferences/?conf=aiccsa2024.If you have any questions, please contact thomas.lux@hs-niederrhein.de or ataweel@birzeit.edu.
Please follow recent news and updates on the parent conference website:
https://aiccsa.net/AICCSA2024/The ISITCOM Digital Health Challenge (DHC) 2024 is an annual competition organized by the Higher Institute of Computer Science and Communication Technologies (ISITCOM), University of Sousse, Tunisia, DGSE Promess. In its inaugural edition, the event focuses on innovative solutions for mental health by leveraging digital tools such as artificial intelligence (AI), the Internet of Things (IoT), and serious games to improve the diagnosis and management of mental health disorders.
This event brings together students, researchers, healthcare professionals, and industry experts in digital health to share knowledge, collaborate, and create innovative solutions that enhance mental healthcare.
Objectives | Description |
---|---|
Awareness | Participants will gain deeper insights into mental health issues such as autism, sleep disorders, Alzheimer's disease, dyslexia, depression, bipolar disorder, schizophrenia, and ADHD. |
Access to Latest Technologies | Participants will learn about recent advances in AI, IoT, and serious games for the diagnosis and management of mental health through expert-led conferences and hands-on workshops. |
Encourage the Use of Digital Tools | The competition will provide a platform for participants to apply these tools in mental health use cases, developing practical solutions during the hackathon. |
Promote Innovation | The event aims to foster innovative projects in mental health through collaboration among students, researchers, and health professionals. |
Provide Recognition | The best projects will be rewarded, offering participants a chance to showcase their solutions and gain recognition in the digital health community. |
Each team will have 24 hours to work on a challenge and develop an innovative solution. They will be evaluated based on originality, technical feasibility, and quality of presentation.
Theme | Description |
---|---|
Theme 1: AI for Mental Health Diagnosis and Treatment | Participants will develop solutions using artificial intelligence for the diagnosis and/or treatment of mental health conditions. This includes tasks like data collection, choosing the right machine learning algorithms, and creating predictive models for personalized treatment. |
Theme 2: IoT for Mental Health | Teams will design IoT-based solutions to support mental health patients by developing connected devices for monitoring, communication, and ensuring patient safety. |
Theme 3: Serious Games for Memory Care | Teams will create a serious game focused on improving the memory of mental health patients. This involves designing game features that support different mental health challenges. |
09:00 AM - 10:00 AM: Participant reception and presentation of hackathon themes.
10:00 AM - (24 hours): Hackathon competition (with breaks for meals and relaxation).
09:00 AM - 11:00 AM: Pitching session for teams.
11:00 AM - 11:30 AM: Coffee break.
11:30 AM - 01:00 PM: Prize ceremony and event closing.
Target Participants: The competition is aimed at students, researchers, healthcare professionals, and industry experts in digital health.
Team Setup: Participants will work in teams to tackle the assigned challenges.
Prizes: The top three teams for each theme will receive prizes.
How to Register: Interested participants can register here to join the Digital Health Challenge.
ISITCom, University of Sousse, Tunisia
Kamel.aloui@isitc.u-sousse.tn
ISITCom, University of Sousse, Tunisia
Farah.jmili@isitc.u-sousse.tn
ISITCom, University of Sousse, Tunisia
Hichem.chaabane@isitc.u-sousse.tn
ISITCom, University of Sousse, Tunisia
Ouajdi.korbaa@isitc.u-sousse.tn
Sousse is a city in Tunisia, capital of the Sousse Governorate. Located 140 km (87 mi) south of the capital Tunis, the city has 271,428 inhabitants (2014). Sousse is in the central-east of the country, on the Gulf of Hammamet, which is a part of the Mediterranean Sea. Its economy is based on transport equipment, processed food, olive oil, textiles, and tourism. It is home to the Université de Sousse.