
Healthcare Fraud Detection Using Data Analytics, AI & Machine Learning
Healthcare fraud, waste, and abuse (FWA) continue to pose major financial and operational risks to insurers, healthcare providers, and regulators worldwide. This training provides a practical, business-focused introduction to how data analytics, artificial intelligence (AI), and machine learning (ML) can be used to detect, investigate, and prevent healthcare fraud effectively.
Participants will explore real-world fraud schemes, healthcare data complexities, and investigative methodologies, while learning how to apply analytics tools—from dashboards and KPIs to predictive and anomaly detection models. The program combines case studies, hands-on exercises, and real industry examples to ensure immediate applicability in both public and private healthcare systems.
Training Outlines
Module 1: Healthcare Fraud, Waste & Abuse (FWA) Fundamentals
Overview of healthcare fraud and its economic impact
Common fraud schemes (local, regional, and global)
GCC vs Western healthcare systems
UAE regulations and legal implications for audit and recovery
Module 2: Healthcare Data Foundations
Types of healthcare data used in fraud detection
Data collection, integration, and preparation
Healthcare data challenges and quality considerations
Module 3: Data Analytics for Fraud Detection
Descriptive and diagnostic analytics
Exploratory data analysis (EDA)
Data visualization best practices
Fraud detection dashboards and storytelling with data
Module 4: Machine Learning & AI in Healthcare Fraud
AI vs Machine Learning vs Deep Learning vs Generative AI
Business rules–based detection
Supervised learning for fraud detection
Anomaly detection and rare-event modeling
Module 5: Advanced Applications & Case Studies
Predictive and prescriptive analytics use cases
Real-time and pre-pay fraud detection
Monitoring fraud detection programs
Group case studies and participant use cases
- Identify major healthcare fraud schemes and investigation triggers
Understand how to select the right analytics or AI approach for different fraud scenarios
Build and interpret fraud detection dashboards and KPIs
Apply descriptive, predictive, and anomaly-based models in investigations
Integrate data, analytics, experience, and AI into a structured fraud detection strategy
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Why 4D?
4D Training & Consultancy delivers practical, industry-driven programs that go beyond theory to focus on real-world application and measurable impact. Our trainings are led by senior practitioners with deep experience across analytics, AI, and complex business environments, ensuring participants gain insights they can immediately apply in their roles. We combine case studies, hands-on exercises, and interactive discussions to bridge the gap between data, investigation, and decision-making, while maintaining flexibility to tailor content to organizational, regulatory, and operational needs.
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Meydan Grandstand, 6th floor, Meydan Road, Nad Al Sheba, Dubai, United Arab Emirates
Email: info@fourdtc.com
Tel: +971 4 576 4947
WhatsApp/Mobile: +971 56 919 0444
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