Part 2Healthcare Business Segments and IT Needs

Chapter 5: Payers and Health Insurance

Chapter 5: Payers and Health Insurance

Introduction

Health insurance payers are the financial engines of the U.S. healthcare system, managing over $1.3 trillion in annual healthcare spending. While providers deliver care, payers finance it—determining coverage, managing risk, processing claims, and increasingly, driving quality improvement and cost containment.

For IT consultants, understanding payer operations is essential. Payer systems must process millions of claims daily, manage complex benefit rules, detect fraud, coordinate care, and—under recent regulations—provide unprecedented data access to members and providers via FHIR APIs.

This chapter explores the payer landscape, core business processes, IT systems architecture, and the regulatory imperatives transforming health insurance technology.

The Payer Landscape

graph TD subgraph PAYERS["U.S. HEALTH INSURANCE PAYERS"] subgraph GOV["GOVERNMENT"] G1[Medicare FFS] G2[Medicaid FFS] G3[TRICARE] G4[VA] G5[CHIP] end subgraph COMM["COMMERCIAL"] C1[UnitedHealth] C2[Anthem] C3[Aetna CVS] C4[Cigna] C5[Humana] end subgraph SPEC["SPECIALIZED"] S1[Medicare Advantage MA] S2[Medicaid MCO] S3[PBM Pharmacy Benefits] S4[Third-Party Admin TPA] S5[Stop-Loss Insurers] end end

Government Payers

Medicare (Traditional Fee-for-Service)

Coverage: ~65 million beneficiaries (65+ and disabled) Administered by: CMS (Centers for Medicare & Medicaid Services) Claim Volume: ~1.2 billion claims/year

Parts:

  • Part A: Hospital insurance (inpatient, SNF, hospice, home health)
  • Part B: Medical insurance (physician services, outpatient, DME)
  • Part C: Medicare Advantage (private plans, discussed below)
  • Part D: Prescription drug coverage (via private plans)

IT Implications:

  • MACs (Medicare Administrative Contractors): Process claims on behalf of CMS
  • EDI X12 837: Standard claim format
  • CMS-1500/UB-04: Paper claim forms
  • Quality Reporting: MIPS, Hospital IQR, SNF QRP

Medicaid (Fee-for-Service)

Coverage: ~85 million beneficiaries (low-income individuals/families) Administered by: State Medicaid agencies with federal funding Claim Volume: Varies by state

Characteristics:

  • State Variation: Each state has different eligibility, benefits, reimbursement
  • Dual Eligibles: ~12 million covered by both Medicare and Medicaid
  • MMIS (Medicaid Management Information System): State claims processing system

Other Government Payers

ProgramBeneficiariesAdministratorCoverage
TRICARE~9.6 millionDept. of DefenseActive duty military, retirees, families
VA~9 millionDept. of Veterans AffairsVeterans (direct care + community care)
CHIP~7 millionStates (federal funding)Children in low-income families

Commercial Payers

Market Leaders (by enrollment):

PayerMembersMarket ShareNotable
UnitedHealthcare~52 million~15%Largest U.S. payer, OptumHealth (care delivery)
Anthem (Elevance)~47 million~13%Blue Cross Blue Shield affiliates (14 states)
Aetna (CVS Health)~35 million~10%Integrated with CVS pharmacy/MinuteClinic
Cigna~19 million~5%Global presence, Express Scripts (PBM)
Humana~17 million~5%Strong Medicare Advantage presence

Commercial Insurance Types:

  1. Fully Insured: Employer pays premium to insurer; insurer assumes risk
  2. Self-Insured (ASO): Employer assumes risk; payer provides administrative services only
  3. Level-Funded: Hybrid model with monthly fixed payments and stop-loss insurance

Medicare Advantage (Part C)

Definition: Private health plans that contract with CMS to provide Medicare benefits

Growth: ~31 million enrollees (~51% of Medicare beneficiaries, up from 37% in 2018)

Payment Model:

  • Capitation: CMS pays plans a monthly per-member amount (PMPM) based on risk adjustment
  • Risk Adjustment: HCC (Hierarchical Condition Category) coding drives payment
  • Quality Bonuses: STAR ratings (1-5 stars) affect payment and marketing

Plan Types:

  • HMO: Network-based, requires PCP, referrals for specialists
  • PPO: Broader network, no referrals required, higher premiums
  • SNP (Special Needs Plans): For dual eligibles, chronic conditions, institutionalized

IT Requirements:

  • Encounter Data Submission: Report all services to CMS (even though claims not adjudicated)
  • Risk Adjustment Coding: Capture HCC diagnoses
  • STAR Ratings: HEDIS measures, CAHPS surveys
  • Supplemental Benefits: Track non-medical benefits (transportation, meal delivery, fitness)

Medicaid Managed Care Organizations (MCOs)

Definition: Private health plans contracted by states to manage Medicaid benefits

Coverage: ~72% of Medicaid beneficiaries enrolled in MCO plans

Payment Model:

  • Capitation: State pays PMPM based on member acuity
  • Performance Incentives: Quality metrics, cost savings

IT Challenges:

  • State Reporting: Each state has unique reporting requirements
  • Dual Eligibles: Coordinate with Medicare for dual-eligible members
  • Social Determinants: Track SDOH referrals (housing, food, transportation)

Pharmacy Benefit Managers (PBMs)

Role: Manage prescription drug benefits on behalf of payers

Top PBMs:

  • OptumRx (UnitedHealth Group)
  • CVS Caremark (CVS Health)
  • Express Scripts (Cigna)

Core Functions:

  • Formulary Management: Determine which drugs are covered, tier placement
  • Claims Adjudication: Real-time point-of-sale claims (NCPDP Telecom Standard)
  • Rebate Negotiation: Negotiate with pharma manufacturers
  • Prior Authorization: Manage step therapy, quantity limits
  • Mail Order/Specialty Pharmacy: Fulfill prescriptions directly

Third-Party Administrators (TPAs)

Role: Provide claims processing and admin services for self-insured employers

Services:

  • Claims adjudication, member services, provider network access (rental networks)
  • COBRA administration, HIPAA compliance, reporting

Examples: Meritain Health, Zelis, MultiPlan

Core Payer Business Processes

1. Enrollment and Eligibility Management

Enrollment Sources:

  • Employer Groups: EDI 834 (Benefit Enrollment) transactions
  • Individual/Family: ACA marketplace, direct enrollment
  • Government: Medicare/Medicaid enrollment feeds

EDI 834 Transaction:

834 Benefit Enrollment (from Employer HR to Payer):
- Subscriber info (name, SSN, DOB, address)
- Dependent info
- Coverage effective dates
- Plan selection
- Premium amount

Eligibility Verification:

  • 270/271 Transactions: Real-time eligibility inquiry/response
  • Use Cases: Provider offices verify coverage before appointments, pharmacies check drug coverage

Example 270/271 Flow:

Provider queries eligibility:
270 Request: Patient ID, DOB, Service Date
    ↓
Payer system lookup
    ↓
271 Response: Active coverage, copay $25, deductible $500/$2000

Member ID Cards:

  • Member ID, group number, plan name
  • PCP information (HMO plans)
  • Pharmacy network (CVS, Walgreens, etc.)
  • Contact info (customer service, online portal)

2. Claims Processing

Claim Lifecycle:

graph LR PROV_SUB["Provider<br/>(Submit)"] CLR["Clearinghouse<br/>(Validation)"] PAYER["Payer Core<br/>System"] PROV_PAY["Provider<br/>(Payment)"] PROV_SUB -->|837 Claim| CLR CLR -->|Format check<br/>Compliance Testing| PAYER PAYER -->|Adjudication<br/>Auto/Manual Review| PROV_PAY PROV_PAY -->|835 Remittance<br/>Explanation of Payment EOP| PROV_SUB

Claim Types:

FormUseEDI Equivalent
CMS-1500Professional/Physician claims837P
UB-04Institutional/Hospital claims837I
ADA 2019Dental claims837D
NCPDPPharmacy claimsNCPDP Telecom Standard

Adjudication Process:

  1. Receipt and Validation:

    • Check claim format, required fields
    • Validate provider NPI, member ID
    • Check timely filing limits (typically 90-180 days)
  2. Eligibility Check:

    • Member enrolled on date of service?
    • Coverage active for service type?
  3. Pricing/Contracting:

    • Lookup provider contract (fee schedule, case rate, capitation)
    • Apply negotiated rates
    • For out-of-network: apply usual, customary, reasonable (UCR) or reference-based pricing
  4. Benefit Edits:

    • Check benefit limits (annual max, visit limits)
    • Apply deductible, coinsurance, copay
    • Check for coordination of benefits (COB) - other insurance primary?
  5. Medical Necessity/Utilization Review:

    • Prior authorization on file?
    • Service medically necessary per clinical edits?
  6. Fraud, Waste, Abuse (FWA) Screening:

    • Duplicate claim check
    • Unbundling detection (should be single bundled code)
    • Upcoding detection (service billed at higher level than supported)
  7. Payment Calculation:

    • Allowed amount - member responsibility = payer payment
    • Generate 835 remittance advice to provider

Auto-Adjudication Rate: Target: >85-90% of claims auto-adjudicated (no manual review)

Claim Denial Reasons:

Reason% of DenialsProvider Action
Not covered benefit25%Verify coverage before service
Authorization required20%Obtain prior auth
Timely filing15%Submit within filing limit
Coding error15%Correct CPT/ICD-10 codes
Duplicate claim10%Check claim status before resubmitting
Member not eligible10%Verify eligibility at service
Other5%Varies

3. Utilization Management (UM) and Prior Authorization

Purpose: Ensure medical necessity, manage costs, prevent overutilization

UM Functions:

TypeTimingFocus
Prior Authorization (PA)Before serviceHigh-cost services (MRI, surgery, specialty drugs)
Concurrent ReviewDuring serviceInpatient stay length, continued medical necessity
Retrospective ReviewAfter serviceAppropriateness, appeals

Prior Authorization Workflow:

Provider requests auth:
    ↓
Submission (phone, fax, portal, EDI 278)
    ↓
Payer UM nurse/physician reviews
    ↓
Decision: Approved, Denied, More Info Needed
    ↓
Notification to provider (278 response, portal)
    ↓
If approved: Authorization number for claim submission

High-PA Services:

  • Advanced imaging (MRI, CT, PET)
  • Surgeries (bariatric, cosmetic, joint replacement)
  • Specialty drugs (biologics, gene therapy)
  • DME (wheelchairs, CPAP machines)
  • Home health, skilled nursing
  • Out-of-network care

CMS Prior Authorization Initiatives:

  • FHIR-Based Prior Auth API: Da Vinci Project (CRD, DTR, PAS implementation guides)
  • Real-Time Benefit Check (RTBC): Show auth requirements at point of prescribing

4. Care and Disease Management

Purpose: Improve outcomes for chronic conditions, reduce avoidable ER visits/hospitalizations

Programs:

ProgramTarget PopulationActivitiesROI
Disease ManagementChronic conditions (diabetes, COPD, CHF)Education, self-management support, medication adherence$3-5 saved per $1 spent
Case ManagementHigh-cost, complex casesCare coordination, SNF placement, palliative care$8-12 saved per $1 spent
Transitional CarePost-discharge patients48-hour follow-up calls, med reconciliation20-30% readmission reduction
SDOH ProgramsMembers with social needsHousing, food, transportation referralsEmerging ROI data

Care Management IT Systems:

  • Care Management Platforms: Wellframe, Health Catalyst, Philips Wellcentive
  • Risk Stratification: Identify high-risk members via predictive models
  • Outreach Campaigns: Automated calls, texts, letters for care gaps
  • ADT Notifications: Real-time alerts for ED visits, admissions (via HIE, FHIR subscriptions)

5. Provider Network Management

Network Types:

NetworkCharacteristicsMember Cost
Tier 1 (Narrow/Preferred)Lowest-cost providers, limited choiceLowest copay/coinsurance
Tier 2 (Standard)Broader networkModerate cost
Out-of-NetworkAny providerHighest cost, balance billing allowed

Network Management Functions:

  • Credentialing: Verify licenses, malpractice insurance, board certification
  • Contracting: Negotiate fee schedules, quality incentives
  • Provider Directory: Maintain accurate directory (CMS Interoperability Rule requires FHIR API)
  • Performance Monitoring: Track quality, cost, member satisfaction

Provider Directory API (FHIR): Required by CMS, publicly accessible, no authentication required

Example search:

GET /Practitioner?specialty=cardiology&location=Boston,MA&radius=10mi

6. Quality Measurement and Reporting

HEDIS (Healthcare Effectiveness Data and Information Set)

Maintained by: NCQA (National Committee for Quality Assurance) Purpose: Standardized quality measures for health plans

Measure Domains:

  • Effectiveness of Care: Diabetes care, breast cancer screening, colorectal cancer screening
  • Access/Availability of Care: Adults' access to preventive care
  • Experience of Care: CAHPS survey (member satisfaction)
  • Utilization: ED visits, inpatient admissions
  • Cost of Care: Price of common services

Example HEDIS Measures:

MeasureDescriptionSpecification
CDC (Diabetes Care)HbA1c testing, eye exam, nephropathy screeningAnnual HbA1c for diabetics
BCS (Breast Cancer Screening)MammographyWomen 50-74, every 2 years
COL (Colorectal Cancer Screening)Colonoscopy, FIT, cologuardAdults 50-75
CBP (Controlling High Blood Pressure)BP <140/90Hypertensives with controlled BP

Data Collection:

  • Hybrid method: Claims + medical record review
  • EHR data: Increasingly accepting eCQM export from provider EHRs

STAR Ratings (Medicare Advantage & Part D)

Purpose: CMS rates MA and Part D plans 1-5 stars Impact:

  • Bonus payments for 4+ star plans
  • Marketing advantage (5-star plans can enroll year-round)

Rating Categories:

  • Outcomes: HbA1c control, blood pressure control, statin therapy
  • Intermediate Outcomes: Medication adherence, cancer screenings
  • Patient Experience: CAHPS survey
  • Access: Appeals, complaints
  • Process: Medication reconciliation post-discharge

IT Requirements:

  • Extract HEDIS/STAR measures from claims + encounters
  • Supplement with medical record data
  • Submit to NCQA for validation

7. Risk Adjustment and HCC Coding

Why Risk Adjustment: Medicare Advantage and Medicaid MCOs are paid capitation based on member acuity (sicker members = higher payment).

HCC (Hierarchical Condition Category) Model:

How It Works:

  1. Diagnoses from claims → mapped to HCCs
  2. Each HCC has a risk weight
  3. Member's HCCs summed → Risk Adjustment Factor (RAF)
  4. RAF × Base Rate = Monthly Payment

Example:

  • Base Rate: $800 PMPM
  • Member HCCs: Diabetes with complications (HCC 19, weight 0.302), COPD (HCC 111, weight 0.328)
  • RAF = 1.0 + 0.302 + 0.328 = 1.63
  • Payment = $800 × 1.63 = $1,304 PMPM

IT Requirements:

  • Diagnosis Capture: Ensure all diagnoses documented and coded on claims/encounters
  • HCC Gaps: Identify members with prior-year HCCs not recaptured this year
  • Suspect Conditions: Use predictive models to flag likely HCCs based on Rx, labs
  • Provider Education: Train providers on complete documentation

RAF Optimization Programs:

  • Chart reviews (retrospective coding)
  • In-home health assessments
  • Telehealth visits focused on chronic conditions

Payer IT Architecture

graph TD PORT["MEMBER/PROVIDER PORTALS<br/>• Eligibility • Claims Status • Find a Doctor • Appeals"] API["API LAYER (FHIR, REST)<br/>• Patient Access API • Provider Directory • Prior Auth"] CORE["CORE ADMINISTRATIVE PLATFORM<br/>Enrollment & Billing | Claims Adjudication | Care Management & Utilization Mgmt"] DATA["DATA LAYER<br/>Claims Data Warehouse | Clinical/Encounters | Reference Data (ICD, CPT, HCC, Drug)"] ANALYTICS["ANALYTICS & REPORTING<br/>• HEDIS • STAR • Financial • Fraud Detection • Predictive"] PORT --> API API --> CORE CORE --> DATA DATA --> ANALYTICS

Core Administrative Systems

Market Leaders:

System TypeVendor Examples
Payer Core PlatformHealthEdge (HealthRules), Cognizant TriZetto (QNXT, Facets), Wipro (HealthPlan Suite)
Claims EditingCotiviti, Change Healthcare, 3M
Care ManagementEnrich (Welltok), HealthEdge Wellframe, Philips Wellcentive
Risk AdjustmentCotiviti HCC, Health Catalyst, Episource
Pharmacy (PBM)OptumRx, CVS Caremark, Express Scripts

Data and Analytics

Claims Data Warehouse:

Typical Schema:

  • Claims Header: Claim ID, member ID, provider, service date, paid date, total amount
  • Claim Lines: Line-level detail (CPT, ICD-10, units, charges, allowed, paid)
  • Enrollment: Member demographics, coverage periods, plan details
  • Provider: NPI, specialty, network tier
  • Clinical Data: Lab results, medications, ADT events (increasingly integrated)

Analytics Use Cases:

Use CaseData SourcesTechniques
Cost Trend AnalysisClaimsTime-series, cohort analysis
Utilization ManagementClaims, auth dataDashboards, outlier detection
HEDIS/STAR ReportingClaims, EHR, surveysMeasure calculation engines
Fraud DetectionClaims, provider behaviorRules engine, ML (anomaly detection, network analysis)
Risk StratificationClaims, clinical, RxPredictive modeling (regression, ML)
Network LeakageClaims (in/out of network)Geospatial analysis

Predictive Models:

  • Admission Risk: Predict ER visits, hospitalizations
  • Chronic Condition Progression: Diabetes → complications
  • Medication Non-Adherence: Predict refill gaps
  • Cost Forecasting: Predict future member spend

Interoperability: CMS Rules and FHIR APIs

CMS Interoperability and Patient Access Final Rule (2020):

Requires payers to:

  1. Patient Access API (FHIR):

    • Provide members access to claims + clinical data via API
    • USCDI data elements
    • OAuth 2.0 authorization
  2. Provider Directory API (FHIR):

    • Publicly accessible
    • Searchable by specialty, location
  3. Payer-to-Payer Data Exchange:

    • When member switches plans, transfer data at member's request
    • Up to 5 years of data

Example Patient Access API:

GET /ExplanationOfBenefit?patient=12345
Response: FHIR ExplanationOfBenefit resources (claims data)

GET /Condition?patient=12345
Response: FHIR Condition resources (diagnoses)

GET /MedicationRequest?patient=12345
Response: FHIR MedicationRequest resources (prescriptions)

Da Vinci Project (HL7): Implementation guides for payer-provider data exchange:

  • CRD (Coverage Requirements Discovery): Show auth requirements in EHR workflow
  • DTR (Documentation Templates and Rules): Auto-populate auth forms with EHR data
  • PAS (Prior Authorization Support): Submit prior auth via FHIR (replacing X12 278)
  • PDex (Payer Data Exchange): Claims + clinical data exchange

Fraud, Waste, and Abuse (FWA) Detection

Cost of Healthcare Fraud: Estimated $60-90 billion annually in the U.S. (3-10% of total healthcare spending)

Types of Fraud:

TypeExampleDetection Method
Billing for Services Not RenderedPhantom billingAudit medical records vs. claims
UpcodingBill higher-level E&M code than supportedCompare documentation to code level
UnbundlingBill separately for services that should be bundledClaims editing, NCCI edits
Duplicate BillingSubmit same claim multiple timesDuplicate claim detection
KickbacksProvider receives payment for referralsNetwork analysis (referral patterns)
Identity TheftUse stolen member ID for servicesUnusual utilization patterns, geographic anomalies

FWA Detection Techniques:

  1. Rules-Based:

    • NCCI edits (National Correct Coding Initiative)
    • Medical necessity edits (diagnosis doesn't support procedure)
    • Frequency limits (max visits per year)
  2. Statistical Outlier Detection:

    • Compare provider to peer group
    • Flag extreme outliers (top 1% for service volume)
  3. Machine Learning:

    • Supervised: Train model on known fraud cases
    • Unsupervised: Anomaly detection, clustering
    • Network Analysis: Detect fraud rings (collusion between providers/members)
  4. Predictive Modeling:

    • Propensity Scores: Likelihood provider will commit fraud
    • Link Analysis: Identify connections between entities

Special Investigation Unit (SIU):

  • Dedicated team for fraud investigation
  • Referrals from analytics, tips, audits
  • Collaborate with law enforcement, National Health Care Anti-Fraud Association (NHCAA)

Savings: Effective FWA programs can save 1-3% of claims spend.

Key Performance Indicators (KPIs)

Claims Processing Metrics

MetricFormula/DefinitionTarget
Auto-Adjudication Rate(Auto-Adjudicated Claims / Total Claims) × 100>85%
First-Pass Yield(Clean Claims / Total Claims Submitted) × 100>95%
Average Claim Processing TimeDays from receipt to payment<10 days
Claims Accuracy(Correctly Adjudicated Claims / Total Claims) × 100>99%
Claims Denial Rate(Denied Claims / Total Claims) × 100<5%
Appeals Overturn Rate(Overturned Appeals / Total Appeals) × 100<15%

Financial Metrics

MetricFormulaRegulatory Requirement
Medical Loss Ratio (MLR)(Medical Costs / Premium Revenue) × 100ACA requires 80-85%
Administrative Cost Ratio(Admin Costs / Premium Revenue) × 100<15-20%
Per Member Per Month (PMPM) CostTotal Medical Costs / Member MonthsVaries by product
Trend (Medical Cost)(Current Year PMPM - Prior Year PMPM) / Prior Year PMPM × 100<8%

MLR Rebates: ACA requires insurers to spend 80% (individual/small group) or 85% (large group) of premiums on medical care. If not met, rebates paid to members.

Utilization Management Metrics

MetricDefinitionTarget
Prior Auth Turnaround TimeAverage days to decision<2 days (urgent), <14 days (non-urgent)
Authorization Approval Rate(Approved Auths / Total Auth Requests) × 10075-85%
Inpatient Utilization (per 1000)(Admissions / Member Months) × 12,000<250-300/1000
ED Visits (per 1000)(ED Visits / Member Months) × 12,000<400-500/1000

Member Experience Metrics

MetricSourceTarget
CAHPS Survey ScoresMember survey (access, communication, plan rating)>75th percentile
Net Promoter Score (NPS)"Would you recommend this plan?">30
Member Retention Rate(Members Retained / Members at Start) × 100>90%
Call Center Abandonment Rate(Abandoned Calls / Total Calls) × 100<5%
First Call Resolution(Resolved on First Call / Total Calls) × 100>80%

Quality Metrics

MetricDefinitionTarget
HEDIS Composite ScoreAverage percentile rank across measures>75th percentile
STAR RatingCMS overall rating (MA/Part D plans)≥4 stars
Care Gap Closure Rate(Closed Gaps / Total Gaps) × 100>60%

Implementation Checklist

✅ Core Platform Configuration

  • Benefit Rules Engine: Configure plan designs (deductibles, copays, max out-of-pocket)
  • Fee Schedules: Load provider contracts, negotiated rates
  • Claims Editing: Implement NCCI edits, medical necessity rules
  • Pricing Logic: Define pricing methodologies (fee schedule, case rate, capitation, DRG)
  • COB Rules: Coordinate benefits with other insurers

✅ Data Integration

  • EDI Connections: 834 (enrollment), 837 (claims), 835 (remittance), 270/271 (eligibility), 278 (auth)
  • Provider Data: NPI, CAQH credentialing data
  • Clinical Data: ADT feeds from hospitals (via HIE, Direct, FHIR), eCQM extracts from provider EHRs
  • Pharmacy Data: PBM claims, medication fills
  • External Data: Social determinants of health, consumer data

✅ FHIR APIs (CMS Interoperability)

  • Patient Access API: Implement FHIR server, US Core profiles, OAuth 2.0
  • Provider Directory API: Implement FHIR Practitioner/Location resources, public access
  • Payer-to-Payer Exchange: Support member-initiated data transfer
  • Da Vinci IGs: Consider CRD, DTR, PAS for prior auth automation

✅ Analytics and Reporting

  • Claims Data Warehouse: Design star schema (claims, members, providers, services)
  • HEDIS Engine: Calculate quality measures, identify care gaps
  • Risk Adjustment: HCC coding, RAF calculation, suspect condition identification
  • Fraud Detection: Rules + ML models, SIU workflow
  • Financial Reporting: MLR, trend, PMPM dashboards

✅ Care Management

  • Risk Stratification: Predictive models for high-risk members
  • Care Management Platform: Task lists, outreach campaigns, care plans
  • ADT Notifications: Real-time alerts for ED/admissions
  • SDOH Screening: Integrate screening tools, community resource referrals

✅ Member and Provider Portals

  • Member Portal: Claims history, ID card, find a doctor, cost estimator
  • Provider Portal: Eligibility verification, claim status, prior auth submission
  • Mobile Apps: Member app (iOS, Android) for on-the-go access

✅ Compliance and Security

  • HIPAA Compliance: Privacy, security, breach notification
  • SOC 2 / HITRUST: Third-party attestation
  • ACA Compliance: MLR reporting, essential health benefits
  • State Mandates: Vary by state (prompt payment laws, network adequacy)

✅ Testing and Validation

  • EDI Testing: Validate transactions with clearinghouses, providers
  • Claims Accuracy Testing: Shadow claims against legacy system
  • FHIR API Testing: Use Inferno, Touchstone validators
  • HEDIS Validation: Dry-run with NCQA

Conclusion

Health insurance payers operate at the intersection of finance, healthcare delivery, and technology. Their IT systems must process massive transaction volumes, enforce complex business rules, detect fraud, coordinate care, and—increasingly—provide seamless data access to members and providers.

Key Takeaways:

  • Claims Processing: Auto-adjudication, accuracy, and speed are critical for efficiency
  • Risk Adjustment: HCC coding and RAF optimization drive revenue in MA/Medicaid MCO
  • Quality Measurement: HEDIS and STAR ratings impact reimbursement and market competitiveness
  • Interoperability: CMS mandates require FHIR APIs for patient/provider data access
  • Fraud Detection: Rules + ML models can save 1-3% of claims spend
  • Care Management: Proactive outreach and SDOH programs improve outcomes and reduce costs
  • Member Experience: NPS, CAHPS, and retention are key differentiators

In the next chapter, we'll explore Pharma, Life Sciences, and Biotech, examining the unique IT needs of drug discovery, clinical trials, and regulatory compliance.


Next Chapter: Chapter 6: Pharma, Life Sciences, and Biotech