AI in Healthcare: Designing Responsible, Human-Centered Systems
Course snapshot
Prerequisites: None, although some basic familiarity with scrum is recommended
Course overview
Course overview
- Understand core concepts of AI, machine learning, and autonomous agents in the healthcare context
- Apply systems thinking to identify opportunities for innovation and improvement
- Utilize AI tools with human stakeholders at the center for maximum utility and trust
- Use agile principles to manage iterative, adaptable AI development
- Navigate ethical and governance considerations for responsible AI deployment
- Identify ethical principles and apply best practices to promote fairness, transparency, and safety when using AI in healthcare.
- Measure clinical and operational impact of AI tools to drive continuous learning and value
Average time to complete: 5 hours
Format: On demand, including video lectures, interactive quizzes, case studies, and practical exercises.
Credential: A Scrum Alliance badge and Certificate of Completion from Johns Hopkins Engineering.
Use this microcredential for your continuing education (CEU) and professional development hour needs.
Prerequisites: Basic understanding of healthcare team dynamics and operations.
What you'll get: A Scrum Alliance badge and Certificate of Completion from Johns Hopkins Engineering to showcase your new skills, and a two-year professional membership with Scrum Alliance. Use this microcredential for your continuing education (CEU) and professional development hour needs.
This course is tailor-made for the high-impact leaders at the center of healthcare's digital disruption:
- Clinical Operations Directors/Service Line Leaders
- Healthcare Project and Program Managers (AI, digital, innovation)
- Healthcare Data and Analytics Leaders (Directors of Data Science, Clinical Analytics)
- Clinical Informaticists and Health Systems Engineers
- Directors of Population Health, Care Management, or Value-Based Care
- Compliance, Risk, and Ethics Leaders (with AI/technology oversight)
- Clinical Operations Manager (Hospital or Ambulatory)
- Practice Manager/Clinic Administrator (Medical Group or Specialty Practice)
- Care Coordination or Case Management Manager
- Health Information Management (HIM) or Clinical Documentation Improvement (CDI) Manager
- Population Health or Quality Improvement Program Manager
Course modules
Build a foundational understanding of AI, machine learning, and large language models to inform leadership and decision-making.
Introduction to AI, ML, and LLMs in healthcare
Ethical implications and risk awareness
Role of autonomous agents in clinical environments
Explore healthcare as a complex system and apply systems thinking to identify improvement opportunities.
Feedback loops, leverage points, and system archetypes to support adaptability to changing needs and inform collaborative decision-making
Design adaptable, team-driven interventions in interdependent systems that evolve with stakeholder needs
Enhancing clinical workflow using systems principles that promote ongoing adaptation and cross-functional collaboration
Learn to design AI tools with input from diverse stakeholders to ensure utility, trust, and safety.
Stakeholder engagement strategies
Building trust through transparency
Usability and clinical adoption
Apply agile to AI project delivery in healthcare settings.
Delivering value early and iteratively
Responding to clinical needs and evolving data
Managing multidisciplinary teams in agile settings
Understand the infrastructure and policy requirements for ethical and secure data handling.
Data collection, storage, and security challenges
Governance frameworks for healthcare data
Ensuring data quality for AI model training
Explore principles and practices to build safe, fair, and transparent AI systems.
Algorithmic bias and mitigation strategies
Transparency and explainability in AI
Safety and compliance considerations
Focus on the practical integration of AI into clinical workflows and measure its impact.
Evaluating AI platforms for EHR integration
Seamless clinical workflow incorporation
Measuring AI’s impact on patient outcomes
Scrum Alliance + Johns Hopkins Engineering
Empower your team to adapt
Between rapid AI integration, operational shifts, and constant uncertainty, healthcare teams urgently need agile skills to collaborate, adapt, and deliver critical outcomes under pressure.
What this means for you:
Credential your expertise: Prove your ability to lead change with a distinction backed by world-class agile and healthcare institutions.
Strengthen organizational trust: Validate your ability to manage complexity.
Elevate your professional impact: Signal leadership and peers that you can steer teams through disruption.
Unmatched quality and scale
"Simply amazing learning experience!"
"My experience at Scrum Alliance was simply exceptional ... "
Is a microcredential worth it?
Microcredentials are a great way to continually add new skills with fast and flexible formats. Here are just a few reasons microcredential training is a worthwhile investment for you and your team.
- Focused expertise — gain specialized knowledge in a specific area
- Flexible learning — learn the way you prefer by choosing from live or on-demand learning formats
- Cost-effective — typically less expensive than certifications or degree programs
- Relevant — topics prioritized to cover industry trends and emerging technologies
- Expedient — earn a credential in hours as opposed to weeks, months, or years
- Recognizable — validated by Scrum Alliance, a globally recognized credentialing body
- Practical — build skills and knowledge immediately applicable in your role
- Stackable — combine microcredentials to build comprehensive learning pathways
Train your team!
Interested in purchasing this course for more than one person? We can help.
General AI courses sell information, checklists, and processes. This course equips you to drive transformation. This is the only program that merges the technical prestige of Johns Hopkins Engineering with the in-demand adaptability and leadership training of Scrum Alliance, specifically for the high-stakes healthcare environment.
Yes. Bring your certificate with microcredentials details to your certification or licensure organization to be used toward your continuing education hours. This microcredential is not a registered CME.
In an AI-accelerated world, slow decision systems are existential threats. Agility is the mechanism that enables you to pilot, scale, and pivot AI implementations safely in real time without disrupting clinical workflow.
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