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Sample Chapters

Artificial Intelligence in Clinical Care

Learning Objectives

  1. Develop a working vocabulary for discussing artificial intelligence (AI) in clinical care
  2. Critically evaluate major clinical use cases for AI, including ambient documentation, inbox support,
    clinical decision support, and summarization
  3. Consider uses of AI that preserve diagnostic reasoning, communication skills, and professional
    accountability rather than promoting cognitive offloading and deskilling
  4. Apply practical safeguards for clinical and educational AI use, including verification, calibration, cognitive
    forcing, privacy review, and local governance
  5. Discuss the climate implications of AI in health care

Case Study - Learner's Version

Case Study - Moderator's Version

Immunodeficiencies

Learning Objectives:

  1. Ascertain the prevalence of immunodeficiencies presenting in childhood
  2. Identify clinical features that suggest an immunodeficienc
  3. Initiate and interpret laboratory testing for immunodeficiency
  4. Debate the utility of newborn screening for the most common and treatable of the primary immunodeficiencies

Case Study - Learner's Version

Case Study - Moderator's Version