Healthcare AI Essentials™

What you will learn

This program has four parts. By the end of each part, you should be able to:

Part 1: Introduction to Artificial Intelligence in Healthcare

• Define artificial intelligence and explain the differences between machine learning, deep learning, natural language processing, generative AI, and large language models.
• Identify practical uses of AI across hospitals, physician practices, long-term care, assisted living, home health, hospice, rehabilitation, telehealth, and healthcare administration.
• Evaluate the benefits, limitations, and common myths of healthcare AI using realistic workplace examples.
• Recognize ethical, privacy, HIPAA, bias, and responsible-use considerations when applying AI in healthcare environments.
• Analyze healthcare workplace scenarios to spot safe opportunities for improving documentation, communication, patient care, and administrative workflows with AI.
• Create an action plan for responsible AI adoption within a healthcare role or department.

Part 2: Using AI in Everyday Healthcare Operations

• Use AI tools to draft operational healthcare content such as notes, emails, agendas, policies, and training materials.
• Write effective prompts that produce clearer, safer, and more useful outputs for healthcare administrative and leadership tasks.
• Review, edit, and validate AI-generated content for accuracy, tone, compliance, and professional quality.
• Apply AI to quality improvement, reporting, scheduling, and workflow organization in real healthcare settings.
• Create patient-facing and public-facing materials with appropriate readability, professionalism, and privacy safeguards.
• Maintain HIPAA compliance and protect confidential information when using AI in everyday healthcare operations.

Part 3: Advanced AI Applications for Healthcare Leaders

• Apply AI to executive planning, operational oversight, and strategic decision-making in healthcare settings.
• Use AI tools to improve project management, productivity, and standardized team workflows.
• Evaluate AI-supported approaches for budgeting, forecasting, financial reporting, and resource allocation.
• Strengthen quality improvement, compliance, risk management, and survey readiness with responsible AI use.
• Assess AI-generated outputs for accuracy, bias, privacy risks, and operational reliability before acting on them.
• Develop a practical action plan for leading responsible AI adoption across healthcare teams.

Part 4: Building an AI-Ready Healthcare Organization

• Develop an AI implementation plan for a healthcare department or organization.
• Evaluate AI tools for fit, safety, privacy, and operational readiness before adoption.
• Create responsible AI policies, governance structures, and accountability practices.
• Design staff training and change-management strategies that support adoption and trust.
• Identify legal, ethical, privacy, and cybersecurity risks and apply safeguards to reduce them.
• Build a personal and organizational action plan for ongoing AI learning and improvement.

Program details

• Self-paced online program for healthcare professionals
• Program length: 10 hours, in four parts
• Includes graded assessments you must pass to complete the program
• Earn a downloadable Certificate of Completion upon successful program completion—ideal for documenting professional development and submitting to your employer for potential reimbursement
• Each certificate has a verification ID that employers can check at nahcp.com/verify

Program length describes the length of the program, not a number of continuing-education credits. Check with your employer or licensing board before submitting a program for credit or reimbursement.