- YING WANG
- Gustavo Fonseca Ribeiro
Intermediate
Event Organizer(s)
Description
The first focus of this course is on the application, practice and development opportunities of AI in the healthcare industry, with a particular focus on the needs and realities of developing countries. It covers core AI technologies and their healthcare applications, practical paths for implementing AI healthcare projects in developing countries, and global trends and regional opportunities. Unique benefits include case studies tailored to developing regions, actionable implementation strategies, and insights into leveraging global resources for local development.
Secondly, in the part of digital government, this course covers three core dimensions: digital transformation, optimization of online services, and data governance. Framed by the United Nations E-Government Development Index (EGDI), it examines current global trends and regional characteristics in digital governance. The curriculum facilitates a comparative analysis of digital transformation initiatives across major economies, highlighting both international best practices and distinctive Chinese approaches.
This training is targeted at technical managers, engineers and employees from regulators, government organizations, telecommunication companies and academia, who are interested in the latest development of digital transformation in the field of Healthcare and Digital Government.
Qualifications or experience needed to participate in this training course:
- The participants are expected to have a telecommunication /ICTs engineering educational background and basic knowledge of ICT
Selection criteria:
- Diversity of students, including geography, professional profile, and gender balance;
- The strength of participants’ applications, such as work related to the course topic in the application.
Number of available places for the cohort:
- Max 70 active participants
Upon completion of this course, participants will be able to:
- Analyze global digital government development trends and key influencing factors and develop a scientific decision-making framework to advance government digital transformation.
- Identify practices and approaches in digital government services and design contextualized optimization pathways adapted to local realities.
- Formulate integrated digital government strategies and design evidence-based policies to mitigate digital divides and tackle complex governance challenges.
- Analyze the compatibility of different AI healthcare technologies to the healthcare scenarios of developing countries and identify at least 3 key factors affecting technology application effectiveness through case comparison.
- Design a basic implementation plan for a local AI healthcare pilot project, including clear steps for data collection, technology selection, and personnel training, which aligns with the resource conditions of developing countries.
- Evaluate the effectiveness and risks of typical AI healthcare cases in developing regions and put forward 2 - 3 targeted improvement suggestions based on the evaluation results.
Self- study: The participants are required to read and watch the course materials uploaded on the platform;
Tutor-led live and chat zoom sessions: Tutor will deliver live sessions and respond to questions raised from participants;
Participants forum: participants and tutors will interact through the ITU Academy forum platform to discuss course topics and express their opinions and submit questions;
Knowledge check: participants are required to take quizzes which will be organized at the end of each week to check their knowledge achievement. The assignment also needs to be submitted at the end of the training course to assess satisfactory understanding of the given topic.
Course Materials: The relevant course material will be made available on the ITU Academy platform, which will include presentations and recorded videos with explanations of the key topics. During every week, live sessions of around 1h30 will be held; the tutors will brief or highlight some important parts of their course presentations.
Online Discussion Forums: Participants are expected to participate actively in weekly discussion forums on selected topics throughout the week. Tutors will respond to the posts and interact with participants
Chat Sessions: Online chat sessions with the tutor will take place 2 times during the two weeks’ time, if there is significant demand, we will arrange additional chat sessions. All participants are expected to join the chat sessions to interact with tutors. The specific time will be sent to participants in advance by tutors.
Quizzes: 2 mandatory online quizzes will be launched at the end of each week, and participants are required to submit them before the announced deadline.
Assignment: There will be a mandatory assignment at the end of the course, which is required to submit before the announced deadline.
Grading Matrix:
- Quiz 1: 15%
- Quiz 2: 15%
- Individual Assignment: 40%
- Discussion Forum 1: 10%
- Discussion Forum 2: 10%
- Active participation in live and chat sessions: 10%
A total score of 70% or higher is required to obtain the ITU certificate
Week 1: Digital government
6-11 July 2026
Sessions:
- From cases to paradigms: global experience and practice in digital government online services
- Define the concept of digital government online services
- Outline the current global landscape, conduct a comparative analysis of leading international cases in digital governance reform, reveal their design principles and collaboration mechanisms, and outline typical implementation paths for optimization
- Evolution and prospect of government digital transformation in major global economies: insights from Biennial United Nations E-Government Surveys
- Discuss introduction to the United Nations E-Government Survey over the years, describe the overall upward trend in global e-government development,
- Identify key factors influencing e-government development, shed light on the development characteristics and disparities across different global regions,
- Summarize distinctive features of government digital transformation in major economies and develop typical cases to offer references for the e-government development of other countries
- Unlocking data value: global typical practices and future trends in government data governance
- Discuss the EDGI theoretical framework and its evaluation methodology related to data governance.
- Examine typical models of global government data governance through comparative analysis and provide an in-depth exploration of China’s strategy-oriented model.
- Examine forthcoming challenges and evolution pathways for global government data governance.
Week 2: AI for public healthcare
13-19 July 2026
Sessions:
- Core applications and technical principles of Artificial Intelligence in healthcare
- Enumerate basic principles of AI core technologies such as machine learning, deep learning, and natural language
- Analyze their application value in medical scenarios.
- Elaborate on the limitations of current AI medical technology in aspects like data dependence (lack of high-quality annotated data), complex disease handling (insufficient ability to comprehensively judge multiple comorbidities), and ethical risks (diagnostic biases caused by algorithmic bias).
- Practical paths and case analysis of AI healthcare applications in developing countries
- Formulate data collection standards that align with local healthcare scenarios.
- Technology Selection and Local Adaptation: Identify open-source AI models with low computing power requirements.
- Healthcare Worker Training: Develop an AI tool operation training system tailored for primary-level healthcare staff.
- Policy and Regulatory Support: Formulate data privacy protection and supervision rules for AI healthcare applications.
- Global trends of AI: empowered High - quality healthcare development and opportunities for developing countries
- Summarize the global technological development directions and industrial layout characteristics in the field of AI healthcare
- Explain the impact of these trends on the restructuring of the healthcare industry.
- Analyze developing countries’ late-mover advantages, policy dividends, and scenario advantages in the field of AI healthcare.
- Differentiate how developing countries can seize the opportunities brought by global trends through international cooperation and local capacity building, thereby promoting the high-quality development of their domestic healthcare industries.
Week 3: Final assignment
Until end of July 2026
- Final assignment
- There will be an assignment required to be submitted after all the training courses with an extended 2 weeks’ time.
Registration information
Unless specified otherwise, all ITU Academy training courses are open to all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female participants, and participants from developing countries. This includes least developed countries, small island developing states and landlocked developing countries.
