This module is centered on the application of AI in the various areas of clinical diagnosis, patient care, and healthcare operations. The learners can understand the role of AI in clinical decision support, patient monitoring, and operational efficiency without the replacement of clinical judgment. The practical application of AI is demonstrated in this module through examples, which illustrate the interaction of clinicians and healthcare teams with AI systems, the interpretation of AI output, and the incorporation of AI output into healthcare operations.

This module examines the successful implementation of AI and digital technology in the clinical setting. The learners will examine the changes that need to occur in the organization and workflow to implement AI in the clinical setting. This module highlights the importance of change management and building trust among clinicians to implement AI in the clinical setting. By the end of the module, the learners will have gained insight into the implementation of AI-driven digital transformation in the clinical setting.

This module covers the ethical, governance, and responsibility issues that are critical to the adoption of AI in a healthcare setting. The learners will explore the impact of issues such as bias, transparency, accountability, and patient trust on the adoption of AI in a healthcare setting. The module also covers the governance and risk management practices that will enable organizations to adopt AI in a responsible manner. At the end of this module, the learners will have the perspective to balance innovation with ethical and patient-centered care.