AI & Digital Transformation in Clinical Practice
This course teaches healthcare professionals to apply AI and digital tools to improve patient outcomes and operational efficiency through real-world examples and hands-on practice.
Overview
This course includes:
- On-demand videos
- Practice assessments
- Multiple hands-on learning activities
- Exposure to a real-world project
- 100% self-paced learning opportunities
- Certification of completion
This professional course introduces healthcare leaders and practitioners to the practical applications of artificial intelligence (AI) and digital transformation in clinical settings. Designed to move beyond the hype, it delivers a clear, actionable roadmap for how AI can improve both patient outcomes and operational efficiency in hospitals and clinics.
Through case studies, hands-on labs, and interactive discussions, learners will explore AI-powered clinical decision support, patient flow optimization, digital workflow integration, and the ethical and regulatory considerations that shape responsible AI adoption in healthcare. The course blends theory with applied learning, ensuring that participants not only understand the concepts but also leave with practical skills they can use immediately in their organizations.
Learners will benefit from real-world examples such as Cleveland Clinic’s Hospital 360 platform and insights from MEDCAN’s digital transformation journey. The course also addresses clinician burnout, system inefficiencies, and compliance risks—making it uniquely relevant to the challenges healthcare professionals face today.
By the end, participants will have the knowledge and confidence to evaluate, implement, and lead AI initiatives in their own clinical or administrative settings.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Navigate digital health ecosystems and interoperability standards (HL7 and FHIR).
- Evaluate AI-powered clinical decision support tools for diagnosis and treatment.
- Apply AI to optimize patient flow, resource allocation, and hospital operations.
- Identify ethical, legal, and regulatory considerations in healthcare AI.
Prerequisites
This course requires a basic understanding of healthcare workflows or electronic health record (EHR) systems. Familiarity with how data flows within clinical environments will help participants better connect AI applications to real-world healthcare operations.
Who Should Attend
This course is designed for anyone in healthcare—administrators, clinicians, and operations professionals—interested in applying AI to improve patient outcomes and efficiency. It’s ideal for physicians adopting AI tools, nurse managers optimizing patient flow, healthcare administrators driving digital transformation, and clinical informaticists integrating AI with EHR systems.
