| Location | Duration | Kenyan Cost | Non-Kenyan Cost | Upcoming Schedules |
|---|---|---|---|---|
| Nairobi, Kenya | 5 Days | KES 115,000 | USD 1,500 | Enroll |
| Kigali, Rwanda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Kampala, Uganda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Dar es Salaam, Tanzania | 5 Days | USD 2,000 | USD 2,000 | Enroll |
| Dubai, UAE | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Abuja, Nigeria | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Accra, Ghana | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Pretoria, South Africa | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Start & End Date | Duration | Kenyan Cost | Non-Kenyan Cost | Enroll | |
|---|---|---|---|---|---|
| Aug 17–Aug 25, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Aug 31–Sep 08, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 14–Sep 22, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 28–Oct 06, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 12–Oct 20, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 26–Nov 03, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 09–Nov 17, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 23–Dec 01, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 07–Dec 15, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 21–Dec 29, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 04–Jan 12, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 18–Jan 26, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 01–Feb 09, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 15–Feb 23, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 01–Mar 09, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 15–Mar 23, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 29–Apr 06, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 12–Apr 20, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 26–May 04, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 10–May 18, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 24–Jun 01, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 07–Jun 15, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 21–Jun 29, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jul 05–Jul 13, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
About the Course
Health insurance claims are central to the financial sustainability, service quality, and public confidence of insurers, health funds, third-party administrators, and healthcare providers. Weak claims controls can lead to delayed settlements, inaccurate payments, member dissatisfaction, provider disputes, regulatory exposure, and significant financial leakage. At the same time, increasingly complex benefit designs, digital claims channels, changing clinical practices, and organized fraud schemes require claims teams to combine technical adjudication skills with stronger analytical and investigative capabilities.
The Health Insurance Claims Management and Fraud Detection program provides a practical framework for managing the full claims lifecycle while strengthening payment integrity. The course covers claims intake, eligibility and coverage validation, clinical coding compliance, adjudication controls, fraud-risk typologies, provider profiling, claims analytics, pre-payment and post-payment review, investigation case management, recovery processes, compliance reporting, and continuous improvement. It also introduces operational applications of artificial intelligence and explainable anomaly detection without requiring programming skills.
Through realistic claim files, coding-validation exercises, provider-risk scorecards, fraud-indicator matrices, investigation simulations, and dashboard development, participants will learn how to identify suspicious patterns, make defensible payment decisions, document findings, and escalate cases appropriately. The program emphasizes practical tools that can be adapted to public health insurance schemes, private insurers, managed-care organizations, hospital networks, and third-party administrators.
Target Participants
- Health insurance claims officers
- Claims examiners
- Medical assessors
- Utilization-review personnel
- Fraud analysts
- Payment-integrity specialists
- Special investigation unit officers
- Internal auditors
- Compliance officers
- Risk managers
- Finance officers
- Healthcare administrators
- Provider-relations teams
- Clinical coders
- Data analysts
- Legal officers
- Managers responsible for claims operations or fraud-control programmes
Prerequisites: Participants should have basic familiarity with health insurance benefits, claims processing, provider billing, or healthcare operations.
What You Will Learn
By the end of this course the participants will be able to:
- Map the health insurance claims lifecycle and identify control weaknesses, delays, and leakage points
- Validate member eligibility, benefit coverage, medical necessity, provider status, and claim documentation
- Apply clinical coding and billing-validation techniques to detect errors, upcoding, unbundling, duplicate claims, and phantom billing
- Conduct consistent claims adjudication using clear decision rules, authorization controls, exception handling, and audit trails
- Develop fraud indicators, provider-risk profiles, utilization benchmarks, and anomaly-detection review procedures
- Design effective pre-payment and post-payment review programs that strengthen payment integrity and recovery outcomes
- Manage investigations using structured case files, evidence standards, interview techniques, referral protocols, and corrective actions
- Present claims and fraud findings through dashboards, executive reports, compliance communication, and improvement plans
Course Duration
- Classroom – 5 Days
- Online – Available
Course Outline
Health Insurance Claims Fundamentals
- Health insurance operating models
- Payer, provider, member, broker, and regulator roles
- Benefit design and claims obligations
- Claims-risk exposure points
- Claims-process mapping exercise
Claims Intake
- Claim submission channels
- Data capture requirements
- Completeness checks
- Duplicate detection
- Claim-intake checklist exercise
Eligibility Verification
- Member identification
- Policy status confirmation
- Waiting periods and exclusions
- Dependant and beneficiary validation
- Eligibility decision simulation
Coverage Validation
- Benefit limits
- Pre-authorization requirements
- Medical necessity review
- Network and referral rules
- Coverage-validation case exercise
Clinical Coding Compliance
- ICD-10 coding principles
- Procedure and tariff coding
- Upcoding and unbundling indicators
- Modifier and diagnosis inconsistencies
- Coding-validation workshop
Claims Adjudication
- Adjudication rules
- Pay, deny, pend, and query decisions
- Authorization and segregation controls
- Exceptions and appeals
- Adjudication file review
Fraud Risk Typologies
- Provider fraud schemes
- Member fraud schemes
- Collusion and identity misuse
- Pharmacy and telehealth abuse
- Fraud-indicator matrix exercise
Provider Risk Profiling
- Utilization benchmarking
- Peer-comparison ratios
- Frequency and severity metrics
- Provider-risk scoring
- Risk-scorecard workshop
Claims Data Analytics
- Claims-data preparation
- Trend and outlier analysis
- Rules-based anomaly detection
- AI-assisted risk flags and explainability
- Claims-analytics practical
Payment Integrity Controls
- Pre-payment review
- Post-payment audit
- Overpayment recovery
- Control performance indicators
- Payment-integrity workflow design
Investigation Case Management
- Case triage and prioritization
- Evidence collection
- Interview and statement procedures
- Referral, sanctions, and recovery actions
- Investigation-case simulation
Compliance Reporting
- Claims performance metrics
- Fraud-loss measurement
- Management dashboards
- Regulatory and executive communication
- Capstone payment-integrity presentation
Training Approach
The course uses a competency-based methodology combining expert facilitation, realistic health-insurance case studies, claim-file reviews, eligibility and coverage simulations, clinical-coding validation, adjudication exercises, fraud-pattern diagnostics, provider-risk scoring, claims-data analysis, pre-payment and post-payment review design, investigation-case workshops, and dashboard development.
Participants progressively create a practical claims-control toolkit comprising a claims-review checklist, fraud-indicator matrix, provider-risk scorecard, investigation case-file structure, payment-integrity dashboard, and workplace improvement plan.
Certification
Upon successful completion of this course, participants will be issued a certificate.
Tailor-Made Course
We can also do this as a tailor-made course to meet organization-wide needs.