Transform Healthcare with AI: 1 Day Workshop in Surrey

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Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs/Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

This intensive 1 Day workshop provides a practical introduction to AI applications in modern healthcare environments. Participants will explore how artificial intelligence supports clinical decision-making, diagnostics, patient engagement, workflow automation, and operational efficiency.

The course also covers predictive analytics, natural language processing (NLP), AI-driven risk scoring, administrative automation, and ethical frameworks for responsible adoption. Through real-world case studies, interactive discussions, and practical examples, attendees will gain clear and actionable insights relevant to hospitals, clinics, and digital health organizations.

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

• Understand key AI concepts and healthcare relevance
• Identify realistic AI use cases across healthcare settings
• Assess AI applications in diagnostics and decision support
• Recognize opportunities for workflow automation
• Apply predictive insights to improve patient outcomes
• Evaluate ethical and responsible AI practices
• Understand practical steps for AI adoption

• Healthcare professionals exploring AI applications
• Hospital administrators and managers
• Clinical quality and improvement teams
• Health IT and digital health professionals
• Analysts, coordinators, and operations teams
• Anyone seeking beginner-to-intermediate AI knowledge

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This workshop combines AI fundamentals with practical healthcare relevance, making it ideal for professionals with little or moderate AI experience.

Participants benefit from healthcare-specific examples, clear explanations, and actionable strategies covering clinical operations, analytics, and digital transformation. The course removes technical complexity and focuses on practical understanding you can apply immediately.

📧 Contact us today to schedule a customized in-house, face-to-face session:

[email protected]

Info: • Understanding AI, Machine Learning, NLP, and automation
• Real-world healthcare AI use cases
• Key healthcare challenges AI can solve
• Icebreaker activity

Info: • AI for early detection and predictive care
• Imaging AI in radiology, pathology, and triage
• Risk scoring for chronic and acute conditions
• Interactive activity

Info: • Automating scheduling, documentation, and workflows
• Capacity planning and demand forecasting
• Reducing manual workload across departments
• Role-play session

Info: • Foundations of predictive analytics
• Common healthcare datasets used in AI
• Improving care pathways using data insights
• Case study discussion

Info: • Personalized care through AI-driven engagement
• Chatbots and virtual assistants
• Remote monitoring and virtual care tools
• Practical simulation

Info: • Bias, fairness, and transparency in AI
• Data privacy and compliance considerations
• Human oversight in AI-assisted care
• Group brainstorming activity

Info: • Emerging trends: Generative AI, robotics, digital twins
• Steps to introduce AI in healthcare organizations
• Collaboration between clinical, IT, and operations teams
• Action planning activity

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Host or Publisher MG Aussie