Medical Claims & Coding: Value-Based Payment Strategies
This 1-week course has 77 dates from November 2026 to November 2027 in 54 cities and live online. The next date runs 16 – 20 November 2026 in Dubai. Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online.
- Duration
- 1 Week5 days
- Next start
- Dubai
- Scheduled dates
- 77
- Classroom cities
- 54Dubai, Abu Dhabi, Singapore, Nice and more
- Format
- Classroom and live online
- Fee per participant
- €1,500–€14,000Average €5,700
What does this course cover?
Course Overview
The Medical Claims & Coding Specialization: Value-Based Payment Strategies course provides an in-depth, practice-oriented understanding of how artificial intelligence and data analytics are reshaping the entire medical claims ecosystem—from adjudication and coding to DRG classification and value-based reimbursement. Participants explore how automation, predictive modeling, and healthcare data analysis improve claim accuracy, streamline coding compliance, reduce fraud and denials, and support fair, value-driven payment models.
The course integrates modern techniques to detect anomalies, validate coding integrity, optimize DRG assignments, and enhance adjudication processes using AI-powered healthcare fraud analytics. Through Gulf-region and international case studies, learners gain hands-on insights into the relationship between coding accuracy, DRG integrity, and efficient value-based payments.
By the end of the program, participants will be able to design analytical frameworks, apply automation tools, and implement data-driven reimbursement strategies that strengthen transparency, compliance, and operational performance across the claims lifecycle—supporting a sustainable, efficient, and accountable healthcare delivery system.
Target Audience
- Medical Claims Adjudication Officers
- Claims Automation and Process Managers
- Health Insurance Operations and Quality Auditors
- Medical Coding and Billing Specialists
- DRG and Reimbursement Analysts
- Value-Based Payment and Revenue Cycle Managers
- Healthcare Data Analysts and Compliance Professionals
- Internal Auditors and Health Informatics Managers
Targeted Organizational Departments
- Medical Claims Adjudication and Audit Units
- Medical Coding and Revenue Integrity Departments
- Data Analytics and AI Implementation Divisions
- Finance, Billing, and Reimbursement Operations
- Quality and Compliance Management Divisions
- Health Insurance and Provider Relations Departments
Targeted Industries
- Health Insurance Companies
- Hospitals and Healthcare Provider Networks
- Third-Party Administrators (TPAs)
- Medical Billing and Coding Firms
- Government Health Authorities and Regulators
- Private and Public Healthcare Systems
Course Offerings
By the end of this course, participants will be able to:
- Apply automation and AI tools to medical claims adjudication and review processes
- Detect anomalies and reduce fraud in medical coding and DRG classification
- Integrate data analytics into healthcare reimbursement and audit frameworks
- Use AI models to improve claims accuracy and compliance in payment systems
- Implement value-based payment strategies aligned with outcomes and performance
- Strengthen data governance and interpretability across claims operations
- Develop dashboards and key metrics for claims integrity and reimbursement efficiency
Training Methodology
This program uses a blended, interactive learning model that includes:
- Interactive lectures
- Case simulations and scenario analysis
- Group discussions
- Hands-on analytical demonstrations
Participants analyze real healthcare claim scenarios, practice automation workflows, apply data analytics for fraud detection, and evaluate DRG and coding integrity. They explore policy-driven decisions, benchmarking techniques, and performance analytics used globally and within the Gulf region.
The methodology emphasizes:
- Data-driven scenario analysis
- Adjudication automation walkthroughs
- Interactive coding and DRG workshops
- Simulation of value-based reimbursement systems
- Real-world case applications
Course Toolbox
Participants will work with:
- Claims adjudication workflow models
- AI-supported coding validation tools
- Coding accuracy and DRG integrity checklists
- Fraud and anomaly detection analytical frameworks
- Predictive models for payment accuracy
- Performance dashboards and KPI templates
- End-to-end adjudication-to-payment workflow maps
- Case study datasets for hands-on analysis
Course Agenda
Day 1: Medical Claims Adjudication and Automation
- Topic 1: Fundamentals of Medical Claims Adjudication and Insurance Review
- Topic 2: Common Adjudication Errors, Denials, and Fraud Indicators
- Topic 3: Automating Adjudication with AI and Data Analytics
- Topic 4: Predictive Models for Claims Validation and Risk Scoring
- Topic 5: Workflow Automation and Claims Management Dashboards
- Topic 6: Compliance Integration in Automated Adjudication Systems
- Reflection & Review: AI Automation and Fraud Detection
Day 2: Medical Coding
- Topic 1: Overview of ICD, CPT, and HCPCS Coding Systems
- Topic 2: Linking Clinical Documentation to Coding Integrity and Reimbursement
- Topic 3: AI-Assisted Medical Coding Validation and Automation
- Topic 4: Detecting Upcoding and Unbundling Using Analytics
- Topic 5: Quality Assurance and Coding Audit Best Practices
- Topic 6: Natural Language Processing (NLP) in Coding Optimization
- Reflection & Review: Accurate Coding and Compliance
Day 3: DRG (Diagnosis-Related Group) Systems
- Topic 1: Introduction to DRG Principles and Healthcare Finance
- Topic 2: DRG Grouping, Weights, and Reimbursement Methodologies
- Topic 3: AI and Analytics for DRG Accuracy and Fraud Detection
- Topic 4: Identifying DRG Upcoding and Misclassification Risks
- Topic 5: Linking DRG Data with Claims Adjudication Performance
- Topic 6: DRG Analysis for Benchmarking Cost and Quality
- Reflection & Review: DRG Systems and Reimbursement
Day 4: Value-Based Claims Payment
- Topic 1: Overview of Value-Based Healthcare and Payment Models
- Topic 2: AI in Monitoring Outcomes-Based and Bundled Payments
- Topic 3: Fraud and Anomaly Detection in Value-Based Claims
- Topic 4: Designing Performance Dashboards for Quality Metrics
- Topic 5: Predictive Analytics for Payment Accuracy and Compliance
- Topic 6: Linking Reimbursement Models to Healthcare Value Indicators
- Reflection & Review: Aligning Claims Integrity with Value Reimbursement
Day 5: Data Analysis for Healthcare Claims Intelligence
- Topic 1: Foundations of Healthcare Data Analysis and Visualization
- Topic 2: Data Collection, Cleansing, and Transformation
- Topic 3: Statistical and Predictive Techniques for Fraud Recognition
- Topic 4: Building Dashboards and Analytical Models for Claims Monitoring
- Topic 5: AI Explainability Tools (SHAP, LIME) for Transparency
- Topic 6: Case Study – End-to-End Adjudication-to-Payment Data Flow
- Reflection & Review: Integrating Analytics for Continuous Improvement
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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Dubai 16 – 20 November 2026
-
Abu Dhabi 23 – 27 November 2026
-
Singapore 30 November – 4 December 2026
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Dubai 7 – 11 December 2026
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Nice 7 – 11 December 2026
-
Johannesburg 13 – 17 December 2026
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Zoom 21 – 25 December 2026
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Berlin 21 – 25 December 2026
-
Baku 28 December 2026 – 1 January 2027
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New York 28 December 2026 – 1 January 2027
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Milan 4 – 8 January 2027
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Toronto 10 – 14 January 2027
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Madrid 11 – 15 January 2027
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Paris 18 – 22 January 2027
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Doha 24 – 28 January 2027
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Cairo 25 – 29 January 2027
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Barcelona 1 – 5 February 2027
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Trabzon 7 – 11 February 2027
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Amsterdam 8 – 12 February 2027
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London 15 – 19 February 2027
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Jakarta 15 – 19 February 2027
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Casablanca 22 – 26 February 2027
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Athens 22 – 26 February 2027
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Istanbul 1 – 5 March 2027
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Rome 8 – 12 March 2027
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Vienna 15 – 19 March 2027
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Zoom 21 – 25 March 2027
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Marbella 21 – 25 March 2027
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Amman 28 March – 1 April 2027
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Paris 29 March – 2 April 2027
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Madrid 5 – 9 April 2027
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Tashkent 11 – 15 April 2027
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Dubai 12 – 16 April 2027
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Tokyo 19 – 23 April 2027
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Kuwait 25 – 29 April 2027
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Kuala Lumpur 26 – 30 April 2027
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Amsterdam 3 – 7 May 2027
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Lisbon 3 – 7 May 2027
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Rome 10 – 14 May 2027
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Manama 16 – 20 May 2027
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Phuket 16 – 20 May 2027
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Prague 24 – 28 May 2027
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London 31 May – 4 June 2027
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Milan 31 May – 4 June 2027
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Abu Dhabi 31 May – 4 June 2027
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Langkawi 6 – 10 June 2027
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Frankfurt 7 – 11 June 2027
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Istanbul 14 – 18 June 2027
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Vienna 14 – 18 June 2027
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Sharm El-Sheikh 21 – 25 June 2027
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Kuala Lumpur 28 June – 2 July 2027
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Cairo 5 – 9 July 2027
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Barcelona 5 – 9 July 2027
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Addis Ababa 12 – 16 July 2027
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Dubai 19 – 23 July 2027
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Amsterdam 19 – 23 July 2027
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Abu Dhabi 26 – 30 July 2027
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Montreux 2 – 6 August 2027
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Nairobi 8 – 12 August 2027
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Manama 15 – 19 August 2027
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London 16 – 20 August 2027
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Bali 22 – 26 August 2027
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Cape town 29 August – 2 September 2027
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Accra 6 – 10 September 2027
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Bangkok 12 – 16 September 2027
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Abu Dhabi 27 September – 1 October 2027
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Tbilisi 4 – 8 October 2027
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Seoul 4 – 8 October 2027
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London 11 – 15 October 2027
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Porto 11 – 15 October 2027
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Geneva 17 – 21 October 2027
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Zanzibar 17 – 21 October 2027
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Muscat 24 – 28 October 2027
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Chicago 31 October – 4 November 2027
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San Diego 8 – 12 November 2027
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Munich 15 – 19 November 2027
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Lagos 21 – 25 November 2027
When and where does this course run?
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
|
Dubai |
Week 47, 2026 16 – 20 November 2026 |
1 Week | Onsite | €4,500 | |
|
|
Abu Dhabi |
Week 48, 2026 23 – 27 November 2026 |
1 Week | Onsite | €4,700 | |
|
|
Singapore |
Week 49, 2026 30 November – 4 December 2026 |
1 Week | Onsite | €5,700 | |
|
|
Dubai |
Week 50, 2026 7 – 11 December 2026 |
1 Week | Onsite | €4,500 | |
|
|
Nice |
Week 50, 2026 7 – 11 December 2026 |
1 Week | Onsite | €5,700 | |
|
|
Johannesburg |
Week 50, 2026 13 – 17 December 2026 |
1 Week | Onsite | €4,500 | |
|
|
Zoom |
Week 52, 2026 21 – 25 December 2026 |
1 Week | Online | €1,500 | |
|
|
Berlin |
Week 52, 2026 21 – 25 December 2026 |
1 Week | Onsite | €5,700 | |
|
|
Baku |
Week 53, 2026 28 December 2026 – 1 January 2027 |
1 Week | Onsite | €5,000 | |
|
|
New York |
Week 53, 2026 28 December 2026 – 1 January 2027 |
1 Week | Onsite | €12,000 | |
|
|
Milan |
Week 01, 2027 4 – 8 January 2027 |
1 Week | Onsite | €5,700 | |
|
|
Toronto |
Week 01, 2027 10 – 14 January 2027 |
1 Week | Onsite | €12,000 | |
|
|
Madrid |
Week 02, 2027 11 – 15 January 2027 |
1 Week | Onsite | €5,700 | |
|
|
Paris |
Week 03, 2027 18 – 22 January 2027 |
1 Week | Onsite | €5,700 | |
|
|
Doha |
Week 03, 2027 24 – 28 January 2027 |
1 Week | Onsite | €5,500 | |
|
|
Cairo |
Week 04, 2027 25 – 29 January 2027 |
1 Week | Onsite | €4,100 | |
|
|
Barcelona |
Week 05, 2027 1 – 5 February 2027 |
1 Week | Onsite | €5,700 | |
|
|
Trabzon |
Week 05, 2027 7 – 11 February 2027 |
1 Week | Onsite | €6,800 | |
|
|
Amsterdam |
Week 06, 2027 8 – 12 February 2027 |
1 Week | Onsite | €5,700 | |
|
|
London |
Week 07, 2027 15 – 19 February 2027 |
1 Week | Onsite | €5,700 |
Frequently asked questions
When does this course next run?
The next date runs 16 – 20 November 2026 in Dubai. It is one of 77 dates scheduled up to November 2027.
Where is this course held?
In a classroom in 54 cities: Dubai, Abu Dhabi, Singapore, Nice, Johannesburg, Berlin, Baku, New York, and more. It is also scheduled as live online sessions.
Can I attend this course online?
Yes. 2 dates are scheduled as live online sessions; the next runs 21 – 25 December 2026, from €1,500 per participant.
How long is the course?
1 Week. Each date shows its start and end dates.
How much does the course cost?
Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online. Each date shows its own fee.
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.
Can this course be run for our team?
Yes. Tell us the number of participants and your preferred dates and city through our training request form.
This course by city
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