Healthcare AI Ethics and Governance Practice Course

Name: Healthcare AI Ethics and Governance Practice Course
Availability: InStock

Apply ethical review tools to healthcare AI decisions involving patient rights, bias, evidence, accountability, and lifecycle oversight.

At a glance

Duration: 5 days
Format: Classroom
Cities: Dubai, Trabzon, Kuala Lumpur, London, Rome, Geneva and more
Next session: 12 – 16 October 2026, Dubai
Average fee: 5,800 €

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Healthcare AI Ethics and Governance Practice Course

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Overview

Healthcare AI Ethics and Governance Practice Course is a five-day intermediate course for healthcare leaders, clinicians, health-data professionals, compliance teams, and AI project owners, who leave with a Healthcare AI Ethics Review Pack. Participants examine patient autonomy, consent, privacy, bias, explainability, accountability, validation, and lifecycle oversight through practical review tools. The course helps multidisciplinary teams make defensible decisions about AI use in care. Agile Leaders Training Center provides training in healthcare AI ethics and governance practice.

Who Should Attend

Teams responsible for approving or overseeing AI use in patient care
Teams responsible for clinical quality, safety, and risk decisions
Teams responsible for health data access, consent, and privacy controls
Teams responsible for procuring, validating, or monitoring AI solutions
Teams responsible for ethics, compliance, assurance, and incident escalation

The course assumes participants contribute to healthcare technology decisions and leaves out model coding, medical diagnosis, legal advice, certification, and engineering implementation.

Departments and Industries

The course supports ethical AI governance across healthcare delivery, public health, research, insurance, life sciences, and digital health.

Clinical governance, quality, and patient safety
Health information, data governance, and cybersecurity
Compliance, risk, legal liaison, and internal audit
Digital health, innovation, procurement, and project management
Hospitals, laboratories, insurers, research organizations, and technology providers

Learning Objectives

By the end of this course, participants will be able to:

Analyze healthcare AI use cases for ethical risks and affected stakeholders
Apply autonomy, consent, privacy, equity, and safety principles
Evaluate bias, explainability, validation, and human oversight evidence
Build an accountability matrix for decisions, incidents, and escalation
Prioritize controls across procurement, deployment, monitoring, and change
Use a Healthcare AI Ethics Review Pack for governance decisions

Course Agenda

Day 1: Ethical Foundations and Use Cases

Healthcare AI Use Case and Intended Purpose Map
Patient, Clinician, Organization, and Community Stakeholders
Human Autonomy and Clinical Decision Boundaries
Benefit, Harm, Safety, and Public Interest Assessment
Healthcare AI Ethics Impact Assessment Canvas

Day 2: Data Rights, Consent, and Privacy

Health Data Lifecycle and Purpose Limitation Map
Informed Consent and Patient Communication Review
Privacy, Confidentiality, Access, and Secondary Use
Data Provenance, Quality, and Representation Questions
Consent and Data-Use Control Matrix

Day 3: Bias, Equity, and Explainability

Bias Sources Across Data, Design, and Workflow
Population Representation and Subgroup Performance Review
Equity Impact and Accessibility Considerations
Transparency, Explainability, and User Information
Bias and Explainability Evidence Checklist

Day 4: Accountability, Validation, and Oversight

Human-AI Team Roles and Decision Authority
Clinical Validation and Local Acceptance Evidence
Vendor Claims, Limitations, and Documentation Review
Accountability, Approval, and Escalation Matrix
Ethics Committee and Multidisciplinary Review Path

Day 5: Lifecycle Governance Practice

Performance, Safety, Equity, and Drift Monitoring Plan
Incident Reporting, Investigation, and Patient Redress
Model Change and Reapproval Decision Criteria
Suggested Exercise: Conduct an Ethics Review Meeting
Capstone Exercise: Healthcare AI Ethics Review Pack

Practical Exercises

The course uses suggested activities to turn ethical principles into repeatable governance decisions.

Suggested activity: assess a healthcare AI use case for stakeholders, benefits, harms, autonomy, and decision boundaries
Suggested activity: review a data and consent scenario for privacy, representation, purpose, and patient communication
Suggested activity: challenge bias, explainability, and validation evidence from a fictional vendor submission
Suggested activity: assemble an ethics review pack with controls, owners, monitoring indicators, escalation, and reapproval criteria

FAQs

Who suits healthcare AI ethics and governance training, and what does it assume?

Healthcare AI ethics and governance training suits people who approve, use, procure, validate, monitor, or assure AI-supported healthcare services. It assumes familiarity with healthcare workflows or governance responsibilities, but not programming or model development.

How does healthcare AI ethics training differ from technical machine learning training?

Healthcare AI ethics training focuses on patient rights, risk, evidence, accountability, oversight, and lifecycle controls. Technical machine learning training focuses on data preparation, algorithms, coding, model tuning, and deployment engineering.

What should a healthcare AI ethics impact assessment cover?

It should define intended use, affected groups, benefits, possible harms, autonomy, consent, privacy, bias, explainability, safety evidence, human oversight, accountability, monitoring, escalation, and conditions for suspension or change.

How should bias be reviewed in healthcare AI governance?

Reviewers should examine data provenance and representation, subgroup performance, workflow effects, access barriers, error consequences, mitigation evidence, local context, monitoring indicators, and a clear response when inequitable outcomes appear.

Conclusion

Participants take back a Healthcare AI Ethics Review Pack linking use-case purpose, stakeholder impacts, consent and data rights, bias and explainability evidence, validation, accountability, monitoring, incidents, and change decisions. It supports structured multidisciplinary review while preserving human responsibility for patient-impacting decisions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 41-60 of 76 events

Location	Dates	Duration	Mode	Price
Al Jubail	Week 17, 2027 2 – 6 May 2027	5 Days	Onsite	€5,700
Dubai	Week 18, 2027 3 – 7 May 2027	5 Days	Onsite	€4,500
Milan	Week 19, 2027 10 – 14 May 2027	5 Days	Onsite	€5,700
Tbilisi	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€5,000
San Diego	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€14,000
Barcelona	Week 21, 2027 24 – 28 May 2027	5 Days	Onsite	€5,700
Frankfurt	Week 21, 2027 24 – 28 May 2027	5 Days	Onsite	€5,700
Paris	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€5,700
Porto	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 23, 2027 7 – 11 June 2027	5 Days	Onsite	€4,700
London	Week 24, 2027 14 – 18 June 2027	5 Days	Onsite	€5,700
Amman	Week 24, 2027 20 – 24 June 2027	5 Days	Onsite	€4,100
Singapore	Week 25, 2027 21 – 25 June 2027	5 Days	Onsite	€5,700
Langkawi	Week 25, 2027 27 June – 1 July 2027	5 Days	Onsite	€6,000
Seoul	Week 26, 2027 28 June – 2 July 2027	5 Days	Onsite	€10,000
Marbella	Week 26, 2027 4 – 8 July 2027	5 Days	Onsite	€5,700
Casablanca	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€4,100
Dubai	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€4,500
Bali	Week 28, 2027 18 – 22 July 2027	5 Days	Onsite	€5,700
Lisbon	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewHealthcare AI Ethics and Governance Practice Course is a five-day intermediate course for healthcare leaders, clinicians, health-data professionals, compliance teams, and AI project owners, who leave with a Healthcare AI Ethics Review Pack. Participants examine patient autonomy, consent, privacy, bias, explainability, accountability, validation, a…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Healthcare AI Ethics and Governance Practice Course