Healthcare Administration and Management
AI-Powered Digital Health Decision Support
04 May 2026
Dublin
5 units
About this program
The fields of digital health and artificial intelligence are transforming healthcare delivery, spanning from diagnosis to treatment and overarching system management. This Digital Health and AI-Enabled Decision Support Training Course equips healthcare professionals with the skills to assess, implement, and oversee AI-powered systems that assist clinical and administrative decision-making. Participants will examine practical case studies, participate in simulation activities, and investigate both the advantages and challenges associated with the integration of AI in healthcare settings.
Course benefits
- Gain a comprehensive understanding of digital health frameworks and technologies.
- Utilize AI to enhance evidence-based clinical decision-making.
- Boost operational efficiency and patient safety through digital innovations.
- Navigate ethical, legal, and regulatory issues effectively.
- Drive successful digital transformation projects within healthcare environments.
Key outcomes
- Understand core principles of digital health and AI applications.
- Assess decision support systems used in clinical environments.
- Recognize the benefits and potential risks of AI-driven healthcare.
- Implement frameworks ensuring safe and ethical use of AI.
- Develop leadership capabilities for managing digital change.
- Improve patient care outcomes by leveraging AI insights.
- Formulate strategies for the sustainable integration of digital tools.
Who should attend
- Physicians, nurses, and clinical leadership personnel.
- Healthcare executives and administrators.
- Health informatics specialists and IT professionals.
- Healthcare policymakers and regulatory authorities.
Course outline
1
Unit 1: Fundamentals of Digital Health and Artificial Intelligence
- Defining the role of digital health within contemporary healthcare.
- An introduction to AI and machine learning applications in medicine.
- Current trends and technological advancements influencing the sector.
- Exploring the challenges and prospects for integration.
2
Unit 2: Clinical Decision Support Technologies
- Different categories of decision support systems.
- Incorporating AI into clinical practice workflows.
- Enhancing diagnostic precision and treatment strategies.
- Minimizing errors while promoting patient safety.
3
Unit 3: AI Data Management, Privacy, and Security
- Sources of healthcare data and achieving interoperability.
- Ethical and regulatory aspects concerning AI in healthcare.
- Ensuring patient confidentiality and safeguarding data.
- Protecting digital health infrastructures from cyber threats.
4
Unit 4: Deploying AI Technologies in Healthcare Environments
- Assessing AI applications and vendor offerings.
- Strategies for change management and workforce education.
- Evaluating effectiveness and return on investment.
- Reviewing case studies showcasing successful deployments.
5
Unit 5: Advancing AI-Enabled Healthcare Solutions
- New developments in predictive analytics and personalized medicine.
- Utilizing AI in population health management and preventive care.
- Navigating the balance between innovation and regulatory compliance.
- Equipping healthcare leaders to manage ongoing transformation.