Healthcare AI and Automation Leadership Course
At a glance
- Duration
- 5 days
- Format
- Classroom
- Cities
- Paris, Frankfurt, Zanzibar, Bangkok, Milan, Cape town and more
- Next session
- 5 – 9 October 2026, Paris
- Average fee
- 5,800 €
Overview
Healthcare AI and Automation Leadership Training Course is a five-day foundation course for non-clinical healthcare executives, administrators, service leaders, operations managers, transformation sponsors, and governance members, who leave with a Healthcare AI and Automation Opportunity Roadmap. Participants distinguish AI and automation options, assess operational use cases, redesign workflows, evaluate vendors, plan workforce changes, and establish responsible adoption controls. Agile Leaders Training Center delivers training in healthcare AI and automation leadership.
Who Should Attend
- Executive leadership personnel responsible for service priorities, investment choices, and adoption oversight
- Healthcare administration personnel responsible for operational performance and patient-service coordination
- Service-line personnel responsible for workflow design, capacity, and improvement priorities
- Digital transformation personnel responsible for technology portfolios, vendors, and implementation planning
- Governance personnel responsible for privacy, safety, accountability, equity, and decision controls
The course assumes participants can assess healthcare operations and organizational priorities, and it leaves out clinical diagnosis, model development, technical coding, and platform administration.
Departments and Industries
The course supports leadership decisions across hospitals, insurers, public health services, digital health operations, laboratories, and healthcare support services.
- Executive management and strategy
- Hospital administration and service operations
- Digital transformation and information services
- Quality, patient safety, and governance
- Insurance operations and population health services
Learning Objectives
By the end of this course, participants will be able to:
- Compare AI, automation, and conventional process options
- Analyze healthcare workflows for suitable opportunities
- Evaluate use cases through value, risk, and readiness criteria
- Apply governance, vendor, and evidence review controls
- Build workforce, adoption, and monitoring actions
- Build a Healthcare AI and Automation Opportunity Roadmap
Course Agenda
Day 1: Leadership Awareness and Decision Context
- Healthcare AI and Automation Capability Map
- Operational Use-Case Pattern Library
- AI Hype and Evidence Question Set
- Human Decision and Automation Boundary Canvas
- Leadership Assumption and Dependency Register
Day 2: Opportunity and Workflow Assessment
- Healthcare Process Friction Map
- Use-Case Value and Feasibility Matrix
- Service Outcome and Benefit Definition Sheet
- Workflow Redesign Swimlane Method
- Opportunity Portfolio Prioritization Grid
Day 3: Responsible Adoption and Governance
- Privacy, Safety, and Equity Risk Screen
- Healthcare AI Accountability Map
- Human Oversight and Escalation Design
- Data Readiness and Interoperability Checklist
- Responsible Adoption Decision Gate
Day 4: Vendors, Workforce, and Implementation
- Vendor Evidence and Capability Scorecard
- Total Adoption Cost Worksheet
- Workforce Impact and Role-Change Map
- Stakeholder Readiness and Communication Plan
- Pilot Monitoring and Learning Dashboard
Day 5: Leadership Practice and Capstone
- Suggested Exercise: Classify AI and Automation Options
- Suggested Exercise: Assess a Healthcare Workflow Opportunity
- Suggested Exercise: Challenge a Vendor Proposal
- Suggested Exercise: Design Governance and Workforce Actions
- Capstone Exercise: Healthcare AI and Automation Opportunity Roadmap
Practical Exercises
The course uses suggested activities that turn healthcare service needs into governed adoption choices.
- Suggested activity: distinguish automation, analytics, machine learning, and generative AI options for hospital and insurance operations
- Suggested activity: map process friction, service outcomes, data dependencies, workforce effects, and oversight needs
- Suggested activity: compare vendor evidence, implementation requirements, risks, costs, and monitoring commitments
- Suggested activity: assemble a prioritized opportunity portfolio with owners, decision gates, pilots, and review measures
FAQs
Who suits the Healthcare AI and Automation Leadership Training Course, and what does it assume?
The course suits non-clinical executives, administrators, operations leaders, transformation sponsors, and governance members. It assumes experience assessing healthcare operations and organizational priorities.
How does healthcare AI leadership training differ from technical AI model training?
Healthcare AI leadership training focuses on use-case choices, workflow redesign, governance, vendors, workforce readiness, and adoption monitoring rather than coding, model building, or clinical diagnosis.
How should healthcare leaders identify AI and automation opportunities?
Healthcare leaders should start with service problems, process friction, outcomes, data readiness, human decisions, implementation capacity, and risk before selecting a technology option.
What should healthcare leaders ask AI vendors?
Healthcare leaders should ask about intended use, evidence, data needs, workflow fit, human oversight, privacy, safety, interoperability, implementation resources, monitoring, incident handling, and exit conditions.
How should healthcare organizations govern AI and automation adoption?
Healthcare organizations should define decision rights, accountable owners, evidence gates, privacy and safety controls, workforce participation, monitoring measures, escalation paths, and periodic review decisions.
Conclusion
Participants take back a Healthcare AI and Automation Opportunity Roadmap linking service needs, prioritized use cases, workflow changes, governance gates, vendor evidence, workforce actions, and monitoring. It changes how leaders move from interest to accountable adoption decisions. The roadmap supports staged pilots, named ownership, traceable tradeoffs, and review before wider use.
credits: 5 credit per day
Course Mode: full-time
Provider: Agile Leaders Training Center
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Events for this Course
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Paris 5 – 9 October 2026
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Frankfurt 5 – 9 October 2026
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Zanzibar 11 – 15 October 2026
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Bangkok 18 – 22 October 2026
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Milan 26 – 30 October 2026
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Cape town 1 – 5 November 2026
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Barcelona 9 – 13 November 2026
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Istanbul 16 – 20 November 2026
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Tbilisi 16 – 20 November 2026
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Vienna 23 – 27 November 2026
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London 30 November – 4 December 2026
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Abu Dhabi 30 November – 4 December 2026
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New York 7 – 11 December 2026
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Dubai 14 – 18 December 2026
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Amsterdam 14 – 18 December 2026
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Montreux 21 – 25 December 2026
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San Diego 28 December 2026 – 1 January 2027
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Toronto 3 – 7 January 2027
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Istanbul 4 – 8 January 2027
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Jakarta 4 – 8 January 2027
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Baku 11 – 15 January 2027
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Vienna 18 – 22 January 2027
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Manama 24 – 28 January 2027
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Cairo 25 – 29 January 2027
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Dubai 1 – 5 February 2027
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Munich 1 – 5 February 2027
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Kuwait 7 – 11 February 2027
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London 8 – 12 February 2027
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Singapore 15 – 19 February 2027
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Abu Dhabi 22 – 26 February 2027
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Amsterdam 1 – 5 March 2027
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Rome 8 – 12 March 2027
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Accra 14 – 18 March 2027
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Kuala Lumpur 15 – 19 March 2027
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Seoul 22 – 26 March 2027
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Manama 28 March – 1 April 2027
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Bali 4 – 8 April 2027
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Geneva 11 – 15 April 2027
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Johannesburg 18 – 22 April 2027
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Nairobi 25 – 29 April 2027
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Abu Dhabi 3 – 7 May 2027
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Sharm El-Sheikh 10 – 14 May 2027
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Prague 10 – 14 May 2027
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Muscat 16 – 20 May 2027
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Chicago 23 – 27 May 2027
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Riyadh 30 May – 3 June 2027
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Milan 7 – 11 June 2027
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Tashkent 13 – 17 June 2027
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Cairo 14 – 18 June 2027
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Porto 14 – 18 June 2027
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Marbella 20 – 24 June 2027
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London 21 – 25 June 2027
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Dubai 28 June – 2 July 2027
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Madrid 28 June – 2 July 2027
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Zoom 5 – 9 July 2027
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Trabzon 11 – 15 July 2027
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Nice 19 – 23 July 2027
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Casablanca 26 – 30 July 2027
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Amsterdam 26 – 30 July 2027
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Paris 2 – 6 August 2027
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Tokyo 2 – 6 August 2027
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Berlin 2 – 6 August 2027
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Al Jubail 8 – 12 August 2027
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Kuala Lumpur 9 – 13 August 2027
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Doha 15 – 19 August 2027
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Rome 23 – 27 August 2027
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Phuket 29 August – 2 September 2027
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Madrid 6 – 10 September 2027
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London 13 – 17 September 2027
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Barcelona 13 – 17 September 2027
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Abu Dhabi 13 – 17 September 2027
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Amman 19 – 23 September 2027
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Lisbon 20 – 24 September 2027
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Athens 27 September – 1 October 2027
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Langkawi 3 – 7 October 2027
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Dubai 4 – 8 October 2027
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
|
Paris |
Week 41, 2026 5 – 9 October 2026 |
5 Days | Onsite | €5,700 | |
|
|
Frankfurt |
Week 41, 2026 5 – 9 October 2026 |
5 Days | Onsite | €5,700 | |
|
|
Zanzibar |
Week 41, 2026 11 – 15 October 2026 |
5 Days | Onsite | €5,500 | |
|
|
Bangkok |
Week 42, 2026 18 – 22 October 2026 |
5 Days | Onsite | €6,000 | |
|
|
Milan |
Week 44, 2026 26 – 30 October 2026 |
5 Days | Onsite | €5,700 | |
|
|
Cape town |
Week 44, 2026 1 – 5 November 2026 |
5 Days | Onsite | €4,500 | |
|
|
Barcelona |
Week 46, 2026 9 – 13 November 2026 |
5 Days | Onsite | €5,700 | |
|
|
Istanbul |
Week 47, 2026 16 – 20 November 2026 |
5 Days | Onsite | €4,500 | |
|
|
Tbilisi |
Week 47, 2026 16 – 20 November 2026 |
5 Days | Onsite | €5,000 | |
|
|
Vienna |
Week 48, 2026 23 – 27 November 2026 |
5 Days | Onsite | €5,700 | |
|
|
London |
Week 49, 2026 30 November – 4 December 2026 |
5 Days | Onsite | €5,700 | |
|
|
Abu Dhabi |
Week 49, 2026 30 November – 4 December 2026 |
5 Days | Onsite | €4,700 | |
|
|
New York |
Week 50, 2026 7 – 11 December 2026 |
5 Days | Onsite | €12,000 | |
|
|
Dubai |
Week 51, 2026 14 – 18 December 2026 |
5 Days | Onsite | €4,500 | |
|
|
Amsterdam |
Week 51, 2026 14 – 18 December 2026 |
5 Days | Onsite | €5,700 | |
|
|
Montreux |
Week 52, 2026 21 – 25 December 2026 |
5 Days | Onsite | €7,500 | |
|
|
San Diego |
Week 53, 2026 28 December 2026 – 1 January 2027 |
5 Days | Onsite | €14,000 | |
|
|
Toronto |
Week 53, 2027 3 – 7 January 2027 |
5 Days | Onsite | €12,000 | |
|
|
Istanbul |
Week 01, 2027 4 – 8 January 2027 |
5 Days | Onsite | €4,500 | |
|
|
Jakarta |
Week 01, 2027 4 – 8 January 2027 |
5 Days | Onsite | €5,700 |
Frequently asked questions
What does this course cover?
OverviewHealthcare AI and Automation Leadership Training Course is a five-day foundation course for non-clinical healthcare executives, administrators, service leaders, operations managers, transformation sponsors, and governance members, who leave with a Healthcare AI and Automation Opportunity Roadmap. Participants distinguish AI and automation options,…
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.
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