Training (Digital Health Courses)
Course Categories
Digital Health Foundations
1. Introduction to Digital Health
introduces learners to the key concepts, benefits, and impact of digital technologies in modern healthcare delivery systems.
2. Foundations of Health Informatics
explores how health information is collected, processed, and applied to improve decision-making and healthcare outcomes.
3. Health Information Standards and Terminology
covers globally accepted data standards and medical terminologies used to ensure consistency, interoperability, and accurate health communication.
4. Introduction to Telehealth
presents the fundamental principles and applications of remote healthcare services, enhancing access to care through virtual consultations and monitoring.
Advanced Technology in Digital Health
5. The Future of Digital Health
AI, IoT, Machine Learning, and More provides insight into cutting-edge technologies transforming healthcare, including artificial intelligence and connected devices.
6. Cybersecurity and Data Privacy in Healthcare
highlights the risks and protection strategies for maintaining patient confidentiality and securing health data in digital systems.
7. Health Data Governance and Privacy
introduces frameworks for ethical and secure handling of health data to promote trust, compliance, and responsible data use.
8. Clinical Information Systems and Decision Support
analyzes systems like EHRs and clinical decision tools that streamline workflows and enhance clinical effectiveness.
9. Data Analytics and Big Data in Healthcare
emphasizes the use of large-scale data analytics to inform clinical practices, policy-making, and health outcomes.
10. Electronic Health Records (EHRs) and Health Information Exchange (HIE)
discusses the importance and functionality of digital patient records and data exchange between institutions.
11. Clinical Decision Support Systems and Emerging Algorithms
introduces systems and machine learning algorithms that assist healthcare professionals in making accurate clinical decisions.
12. Digital Health Supply Chain and Management
teaches how to leverage digital tools to manage, monitor, and optimize health product supply chains efficiently.
13. Fundamentals of Machine Learning for Healthcare
Equips learners with core ML concepts, real-world healthcare applications, and ethical considerations, enabling critical evaluation of models for clinical relevance, safety, effectiveness, and decision-making in healthcare settings.
Leadership, Innovation & Management
14. Digital Health Product Design and Development
focuses on the creation of user-centered digital health tools, guiding learners through the entire product lifecycle from concept to deployment.
15. Regulatory, Ethical, and Policy Issues in Digital Health
examines laws, policies, and ethical considerations shaping the deployment and regulation of digital health technologies.
16. Project Management in Healthcare Delivery
teaches the principles of managing digital health projects, including planning, execution, and evaluation within healthcare settings.
17. Digital Health Entrepreneurship and Innovation
encourages innovation in healthcare by teaching how to design, launch, and scale impactful digital health businesses.
18. Healthcare Management, Organization, and Economics
explores the economic and managerial principles that shape healthcare institutions and their service delivery.
19. Leadership in Digital Health
equips professionals with the leadership skills necessary to drive and manage digital transformation initiatives in healthcare environments.
20. FHIR and Other Standards for Leaders
equip health leaders with foundational knowledge of FHIR and other standards to guide strategic, interoperable digital health system implementation.
21. Health Data Security Awareness
equips government and IP managers with an awareness of common risks and vulnerabilities to HIS/HIT systems in Low- and Middle-Income Countries (LMIC)
22. Cybersecurity Leadership
Explore how our hyperconnected world, comprised of a myriad of networks – both machine and human – has brought us to the precipice of a fundamental revolution and redefinition of the human experience and our socio-political and military world order.
Research & Ethics in Digital Health
23. Research Methodology in Digital Health
guides learners in developing and executing research projects that explore digital solutions and evaluate health interventions.
24. Ethical Considerations in Digital Health
addresses the moral responsibilities and implications of using digital tools and data in healthcare delivery.
25. Artificial Intelligence in Healthcare
Ethical & Legal Challenges; enable learners to critically analyze ethical and legal issues surrounding AI use in health care, including bias, accountability, and data governance.
25. Artificial Intelligence in Healthcare
Ethical & Legal Challenges; enable learners to critically analyze ethical and legal issues surrounding AI use in health care, including bias, accountability, and data governance.
26. WHO Ethics & Governance of AI for Health;
To familiarize learners with global guidance and ethical frameworks for deploying artificial intelligence technologies in health systems responsibly and equitably.
27. Health Data Ethics and Governance
equips learners with an understanding how to responsibly manage, share, and govern health data while protecting individuals’ rights and complying with legal and ethical frameworks.