Health and care challenges combine social, political, economic and technological ambitions which necessitate a greater multidisciplinary understanding of the landscape/context in which they exist. These challenges are complex and difficult to describe while also highly inter-related, thus making possible solutions difficult to recognize due to their complex interdependencies. Such challenges require a multi-disciplinary approach in finding possible solutions. This multi-disciplinary approach includes the engagement of different knowledge bases and the combination of ‘hard’ sciences, social sciences, and the humanities. Overall, current health and care challenges stress the importance of a multi-disciplinary mindset for the exploration of possible solutions.
Design of Health and Smart City Ecosystem Framework
For the development of the conceptual health and smart city ecosystem framework various studies and research articles were examined. A well-established smart city ecosystem is a necessary condition for the development of smart health and care services. Thus, a proposed health and smart city ecosystem framework is based on the smart city ecosystem layers and dimensions with the proposed health and care contextual perspective.
A conceptual Health and smart City Ecosystem Framework is used as an orientation through the possibilities of development of health and smart city health solutions in the different ATHIKA activities. It serves as a tool for researchers who want to take advantage of the ICTs and solve their challenges through health and smart city initiatives.
Challenges identification presents the diagnostic instrument for the identification of the health smart city challenges, which further will be transformed into innovative development solutions via identified alternative scenarios. Challenge identification diagnostic instrument was developed by taking into account student capabilities to implement specific activities. Also, the primary challenges were identified by the project partners to simplify the students’ task. For the next step, students can work with narrower problems under the umbrella of identified challenges of “A European Union that protects” and “A dynamic economy”.
Check: Challenges identification
Scenarios planning methodology
Scenario planning methodology is a basis for the establishment of healthcare sector future development prognosis. The framework supports the development of dynamics of the business environment, recognize new opportunities, assess strategic options, and take long-term decisions.
The identified challenges and solutions will further be refined by partnership to provide the best links between health smart city and a range of potential initiatives to be solved BY THE STUDENTS DURING THE COURSE.
Future Digital Health: An approach to New Digital Workforce Profiles in Healthcare
This article reflects the impact that ATHIKA project results’ can have in the future labour market. Using the knowledge and learnings from the training activities performed, this article describes future opportunities to bridge the gap between health and technology workforce within the universe of digital solutions. Specifically, it throws light into the digital transformation trends by describing new profiles and digital skills approach to future professions. As an example, four potential professions are described in an attempt to foresee new profiles future workers. Can you identify yourself as any of them?
Check: Future Digital Health: An approach to New Digital Workforce Profiles in Healthcare
D3.3 Evaluation of the « IoT in Healthcare » training course Download
D4.3 Evaluation of the « AI & Data Analytics in Healthcare » training course Download
D5.3 Evaluation of the «Governance and ethics of health tech» training course Download
D6.1 Challenge base, prototyping labs and awards Download
D6.3 Final Report on prototyping labs Download
- Annexes (zip) Download
D7.1 Evaluation questionnaires for Symposiums – Barcelona Download & Kaunas Download
D7.3.1 Evaluation questionnaires for Training Programmes Download
D7.3.2 Evaluation questionnaires for Workshops Download
D7.5 Evaluation questionnaires for Learning mobility Download