Transforming Healthcare with AI: 1 Day Workshop in Surrey

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About This Course

• 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, beverages included

Course Overview

This 1 Day workshop introduces you to practical, beginner-to-intermediate applications of AI in real healthcare settings. You explore how artificial intelligence supports clinical decision-making, diagnostics, patient engagement, workflow automation, and administrative efficiency. The course highlights predictive analytics, natural language processing (NLP), AI-driven risk scoring, automation in hospital operations, and ethical frameworks for safe adoption. Hands-on discussions and case examples make AI concepts simple, actionable, and directly relevant to hospitals, clinics, and digital health environments.

Learning Objectives

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

1. Understand key AI concepts and their healthcare relevance.
2. Recognize realistic AI applications across care settings.
3. Analyze how AI enhances decision support and diagnostics.
4. Identify opportunities for workflow automation and efficiency.
5. Apply predictive analytics insights to improve patient outcomes.
6. Evaluate ethical considerations and responsible AI use.
7. Understand how to begin AI adoption in healthcare environments.

Target Audience

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

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Why Choose This Course?

This training blends AI fundamentals with practical healthcare relevance—making it perfect for professionals with little or moderate experience in AI. The trainer brings insights from digital health, predictive analytics, clinical operations, and technology transformation. You gain clear explanations, healthcare-specific examples, and actionable approaches that help you understand AI without technical complexity.

📧 Contact us today to schedule a customized in-house, face-to-face session: [email protected]

Info: • Understanding AI, ML, NLP, and automation fundamentals
• Real-world use cases in clinical and non-clinical settings
• Healthcare challenges that AI can realistically solve
• Icebreaker Activity

Info: • Using AI for early detection & clinical predictions
• Imaging AI: radiology, pathology, and triage support
• Risk scoring systems for chronic and acute conditions
• Activity

Info: • Automating scheduling, documentation, and workflows
• Capacity & demand forecasting using AI models
• Reducing manual burden across departments
• Role Play

Info: • Understanding basic predictive analytics concepts
• Common healthcare datasets used in AI models
• Applying AI insights to improve care pathways
• Case Study

Info: • Personalized care through AI-driven engagement
• Chatbots, digital assistants & patient communication
• Remote monitoring and virtual care enhancements
• Simulation

Info: • Bias, fairness, transparency & clinical ethics
• Data privacy & responsible model deployment
• Human oversight in AI-assisted care
• Group Brainstorm Activity

Info: • Upcoming innovations: digital twins, generative AI, robotics
• Beginner-friendly steps to introduce AI in your organization
• Collaboration between clinical, IT, and admin teams
• Activity

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