FAQ Coverage Gaps Report

Generated: 2025-11-07

This report identifies concepts from the learning graph (200 total concepts) that are not directly covered by FAQ questions. Coverage analysis helps prioritize future FAQ enhancements and identifies knowledge gaps.

Executive Summary

Total Concepts: 200
Covered Concepts: 145 (73%)
Uncovered Concepts: 55 (27%)
High Priority Gaps: 13 concepts
Medium Priority Gaps: 23 concepts
Low Priority Gaps: 19 concepts

Coverage Overview by Section

Section	Total	Covered	Gap	Coverage %	Priority
Foundation Concepts (1-15)	15	15	0	100%	✓ Complete
Healthcare Domain (16-35)	20	18	2	90%	✓ Strong
Query Languages (36-45)	10	10	0	100%	✓ Complete
Patient-Centric (46-70)	25	17	8	68%	→ Moderate
Provider Perspective (71-95)	25	14	11	56%	→ Moderate
Payer Perspective (96-115)	20	8	12	40%	↓ Weak
Financial/Operational (116-130)	15	9	6	60%	→ Moderate
Fraud/Waste/Abuse (131-145)	15	12	3	80%	✓ Strong
Graph Analytics (146-160)	15	14	1	93%	✓ Strong
AI/ML (161-175)	15	13	2	87%	✓ Strong
Security/Compliance (176-185)	10	8	2	80%	✓ Strong
Data Governance (186-195)	10	5	5	50%	→ Moderate
Capstone/Advanced (196-200)	5	2	3	40%	↓ Weak

High Priority Gaps (13 concepts)

These concepts have high centrality in the learning graph (many dependencies) or represent critical healthcare knowledge that should be covered in the FAQ.

Patient-Centric Concepts (3 concepts)

1. Immunization (Concept #60)

Centrality: Medium (7 dependencies)
Category: Core clinical data
Why Important: Preventive care tracking, public health requirements, vaccine schedules
Suggested Question: "How should I model immunization records and vaccine schedules in a graph database?"
Content Notes: Include vaccination types, dates, administered by, lot numbers, adverse reactions

2. Vital Signs (Concept #63)

Centrality: High (12 dependencies)
Category: Core clinical data
Why Important: Fundamental clinical measurements, monitored at every encounter
Suggested Question: "How do I model vital signs (blood pressure, temperature, heart rate) in healthcare graphs?"
Content Notes: Time-series data, normal ranges, trending, alert thresholds

3. Quality of Life Metric (Concept #70)

Centrality: Medium (6 dependencies)
Category: Patient outcomes
Why Important: Value-based care outcomes, patient-reported measures
Suggested Question: "What are quality of life metrics and how should they be modeled in graphs?"
Content Notes: PRO (patient-reported outcomes), PROMIS scores, functional assessments

Provider Perspective Concepts (4 concepts)

4. Medical License (Concept #83)

Centrality: Medium (8 dependencies)
Category: Provider credentials
Why Important: Regulatory compliance, credentialing, network participation
Suggested Question: "How do I track medical licenses and provider credentials in a graph database?"
Content Notes: License numbers, states, expiration dates, disciplinary actions, verification

5. Provider Capacity (Concept #86)

Centrality: Medium (7 dependencies)
Category: Resource planning
Why Important: Scheduling, access to care, network adequacy
Suggested Question: "How should I model provider capacity and availability in graphs?"
Content Notes: Panel size, appointment slots, new patient acceptance, wait times

6. Clinical Protocol (Concept #95)

Centrality: High (10 dependencies)
Category: Care standardization
Why Important: Evidence-based care, quality improvement, clinical decision support
Suggested Question: "How do I model clinical protocols and care pathways in graph databases?"
Content Notes: Protocol steps, decision points, contraindications, outcome measures

7. Best Practice (Concept #93)

Centrality: Medium (8 dependencies)
Category: Quality standards
Why Important: Clinical excellence, benchmarking, quality improvement
Suggested Question: "How are clinical best practices represented and queried in healthcare graphs?"
Content Notes: Evidence-based guidelines, performance benchmarks, quality indicators

Payer Perspective Concepts (4 concepts)

8. Prior Authorization (Concept #111)

Centrality: Very High (15 dependencies)
Category: Utilization management
Why Important: Common healthcare pain point, administrative burden, coverage determination
Suggested Question: "What is prior authorization and how should it be modeled in graphs?"
Content Notes: Authorization requests, approval workflows, denial appeals, required documentation

9. Pharmacy Benefit Manager (Concept #110)

Centrality: High (11 dependencies)
Category: Medication management
Why Important: Drug coverage, formularies, cost management, rebates
Suggested Question: "What is a pharmacy benefit manager (PBM) and how do they fit into healthcare graphs?"
Content Notes: Formulary rules, drug pricing, preferred pharmacies, rebate processing

10. Allowed Amount (Concept #114)

Centrality: High (10 dependencies)
Category: Claims processing
Why Important: Reimbursement determination, pricing transparency, cost estimation
Suggested Question: "What is the allowed amount in insurance claims and how is it calculated?"
Content Notes: Contracted rates, fee schedules, out-of-network pricing, patient responsibility

11. Medical Necessity (Concept #113)

Centrality: Very High (14 dependencies)
Category: Coverage determination
Why Important: Claims approval, denial basis, appeals foundation
Suggested Question: "How is medical necessity determined and modeled in healthcare graphs?"
Content Notes: Coverage criteria, clinical guidelines, documentation requirements, peer review

Data Governance Concepts (2 concepts)

12. Data Provenance (Concept #188)

Centrality: High (9 dependencies)
Category: Regulatory compliance
Why Important: Audit trails, data lineage, regulatory compliance, trustworthiness
Suggested Question: "What is data provenance and why is it critical for healthcare graphs?"
Content Notes: Source systems, transformation history, data quality indicators, verification

13. Master Data Management (Concept #192)

Centrality: Very High (13 dependencies)
Category: Data integration
Why Important: Identity resolution, duplicate elimination, single source of truth
Suggested Question: "How do I implement master data management (MDM) for patients and providers in graphs?"
Content Notes: Golden records, probabilistic matching, data stewardship, governance

Medium Priority Gaps (23 concepts)

These concepts are moderately important for comprehensive understanding but may be covered indirectly in current FAQ answers or are less critical for initial learning.

Patient-Centric Concepts (5 concepts)

14. Patient Outcome (Concept #69)

Coverage Note: Mentioned in value-based care and population health questions but not dedicated coverage
Suggested Question: "How do I model and track patient outcomes in graph databases?"

15. Chronic Disease Management (Concept #67)

Coverage Note: Touched on in care plan and population health contexts
Suggested Question: "What graph patterns support chronic disease management programs?"

16. Preventive Care (Concept #68)

Coverage Note: Mentioned in value-based care context
Suggested Question: "How do graphs help identify and track preventive care gaps?"

17. Treatment Timeline (Concept #65)

Coverage Note: Covered in temporal modeling and path queries but not specifically
Suggested Question: "How do I create treatment timeline visualizations from graph data?"

18. Care Plan (Concept #64)

Coverage Note: Referenced in clinical decision support
Suggested Question: "How should comprehensive care plans be modeled in graphs?"

Provider Perspective Concepts (7 concepts)

19. Hospital Department (Concept #88)

Suggested Question: "How do I model hospital departments and their relationships?"

20. Provider Rating (Concept #85)

Suggested Question: "How are provider quality ratings calculated and stored in graphs?"

21. Board Certification (Concept #84)

Suggested Question: "How do I track board certifications and subspecialties?"

22. Provider Specialization (Concept #90)

Coverage Note: Mentioned throughout provider examples but not dedicated coverage
Suggested Question: "How do specialty and subspecialty relationships work in provider graphs?"

23. Multidisciplinary Team (Concept #91)

Suggested Question: "How do I model care teams and multidisciplinary collaboration?"

24. Clinical Guideline (Concept #92)

Coverage Note: Referenced in clinical decision support
Suggested Question: "How are clinical guidelines implemented in graph-based decision support?"

25. Evidence-Based Medicine (Concept #94)

Suggested Question: "How do graphs support evidence-based medicine workflows?"

Payer Perspective Concepts (8 concepts)

26. Claim Denial (Concept #99)

Suggested Question: "How do I analyze claim denial patterns using graph queries?"

27. Claim Dispute (Concept #100)

Suggested Question: "How are claim appeals and disputes tracked in graphs?"

28. Utilization Review (Concept #112)

Suggested Question: "What is utilization review and how do graphs support UM workflows?"

29. Premium (Concept #107)

Suggested Question: "How do premium calculations and member costs fit into payer graphs?"

30. Coverage (Concept #102)

Coverage Note: Mentioned in payer context but not dedicated coverage
Suggested Question: "How do I model insurance coverage rules and benefits?"

31. Formulary (Concept #108)

Coverage Note: Mentioned in medication context
Suggested Question: "How are insurance formularies structured in graph databases?"

32. Deductible (Concept #105)

Suggested Question: "How do I track deductibles and out-of-pocket costs in graphs?"

33. Out-Of-Pocket Maximum (Concept #106)

Suggested Question: "How are patient cost-sharing limits modeled and calculated?"

Financial/Operational Concepts (6 concepts)

34. Charge Master (Concept #119)

Suggested Question: "What is a charge master and how should it be modeled in graphs?"

35. Revenue Cycle (Concept #117)

Suggested Question: "How do graphs optimize healthcare revenue cycle workflows?"

36. Operating Margin (Concept #123)

Suggested Question: "How do I calculate provider financial performance using graph analytics?"

37. Payer Mix (Concept #124)

Suggested Question: "What is payer mix analysis and how do graphs support it?"

38. Contract Negotiation (Concept #125)

Suggested Question: "How are provider-payer contracts modeled in graphs?"

39. Risk Adjustment (Concept #128)

Coverage Note: Mentioned in value-based care context
Suggested Question: "How do risk adjustment scores work in graph-based population health?"

Data Governance Concepts (3 concepts)

40. Data Stewardship (Concept #193)

Suggested Question: "What are data stewardship roles in healthcare graph governance?"

41. Metadata Management (Concept #186)

Coverage Note: Touched on in data governance discussion
Suggested Question: "How do I implement metadata management for healthcare graphs?"

42. Data Traceability (Concept #190)

Suggested Question: "How does graph structure enhance data traceability?"

Fraud/Waste/Abuse Concepts (1 concept)

43. Behavioral Health Fraud (Concept #143)

Suggested Question: "What are specific fraud patterns in behavioral health billing?"

Capstone/Advanced Concepts (2 concepts)

44. Graph Career Path (Concept #198)

Suggested Question: "What career opportunities exist for graph database expertise in healthcare?"

45. Real-World Implementation (Concept #197)

Suggested Question: "What are key considerations for deploying healthcare graphs in production?"

Low Priority Gaps (19 concepts)

These concepts are mentioned within other FAQ answers, represent specialized topics, or are adequately covered through related questions.

Patient-Centric (Covered Indirectly)

Allergy - Covered in missing data and OPTIONAL MATCH examples
Adverse Event - Mentioned in medication interaction context
Dosage - Covered extensively in medication modeling
Drug Interaction - Dedicated coverage in medication patterns
Lab Test - Covered in temporal modeling and patient context examples
Lab Result - Extensively used in examples throughout

Provider Perspective (Covered Indirectly)

Appointment - Mentioned in scheduling and encounter examples
Provider Schedule - Referenced in capacity and workflow discussions
Care Team - Covered in multidisciplinary care examples
Provider Performance - Referenced in quality metrics and analytics

Payer Perspective (Covered Indirectly)

Copayment - Mentioned in insurance basics
Benefit Plan - Referenced in payer perspective
Insurance Policy - Covered in payer modeling examples
Formulary Rule - Mentioned in PBM context

Financial/Operational (Covered Indirectly)

Provider Compensation - Touched on in value-based care
Capitation - Mentioned in value-based care models

Fraud/Waste/Abuse (Specialized Topics)

DME Fraud - Example in fraud detection question
Provider Network Fraud - Core of fraud detection coverage

Transparency - Covered in explainability and governance
Explainability - Dedicated coverage in AI/ML and governance
Data Quality - Covered in missing data handling
Data Privacy - Covered in HIPAA compliance
Data Security - Dedicated security coverage

Other (Specialized or Redundant)

Referral Network Analysis - Covered in provider network questions
Similarity Measure - Covered in graph algorithm examples

Recommended Additions Priority Matrix

Immediate (Add to next FAQ update)

High Impact, High Demand: 1. Prior Authorization (very common pain point) 2. Vital Signs (fundamental clinical data) 3. Medical License (compliance requirement) 4. Pharmacy Benefit Manager (medication cost management) 5. Master Data Management (critical for data integration)

Quick Wins (Easy to add, fill important gaps): 6. Immunization (preventive care) 7. Provider Capacity (resource planning) 8. Allowed Amount (cost transparency) 9. Data Provenance (audit compliance) 10. Medical Necessity (coverage determination)

Short Term (Add within semester)

Moderate Effort, Good Value: 11. Clinical Protocol (decision support) 12. Quality of Life Metrics (outcomes) 13. Best Practice (quality standards) 14. Claim Denial (revenue cycle) 15. Hospital Department (organizational modeling) 16. Provider Rating (quality) 17. Care Plan (comprehensive treatment) 18. Patient Outcome (tracking results) 19. Utilization Review (care management) 20. Chronic Disease Management (population health)

Long Term (Future enhancements)

Lower Priority or Covered Indirectly: - Remaining payer perspective concepts (deductible, premium, formulary) - Specialized financial concepts (charge master, operating margin) - Governance details (metadata, data stewardship) - Career guidance (graph career path) - Specialized fraud topics (behavioral health fraud, DME fraud specifics)

Coverage Strategy

Phase 1: Critical Gaps (Week 1-2)

Add 10 high-priority questions covering concepts 1-13

Estimated Impact: Raises coverage from 73% to 78% Focus: Patient data, provider credentials, payer essentials, governance

Phase 2: Payer & Provider Enhancement (Month 1)

Add 12 medium-priority questions focusing on underrepresented sections

Estimated Impact: Raises payer coverage from 40% to 60%, provider from 56% to 72% Overall Coverage Target: 83%

Phase 3: Comprehensive Coverage (Month 2-3)

Add remaining medium-priority questions

Estimated Impact: Overall coverage target: 90%+ Focus: Filling remaining gaps across all categories

Phase 4: Maintenance (Ongoing)

Monitor user questions and add to FAQ
Update existing answers with new examples
Incorporate feedback from instructors and students
Refresh examples as technologies evolve

Concept Dependency Analysis

High-Dependency Concepts (Foundational - Must Cover First)

Already covered (✓): - Graph Database, Node, Edge, Labeled Property Graph - Patient, Provider, Payer - Cypher, Graph Query, Pattern Matching

Medium-Dependency Concepts (Build on Foundation)

Gaps to address: - Prior Authorization (depends on Coverage, Medical Necessity) - Master Data Management (depends on Data Quality, Patient ID) - Vital Signs (depends on Medical Encounter, Patient Record) - Clinical Protocol (depends on Evidence-Based Medicine, Clinical Guideline)

Low-Dependency Concepts (Advanced - Can Add Later)

Specialized fraud types
Advanced financial analytics
Detailed governance processes

User Journey Mapping

Beginner Users (Weeks 1-4)

Current Coverage: Excellent (100% of beginner concepts covered) Gaps: None critical Recommendation: Maintain current Getting Started and Core Concepts sections

Intermediate Users (Weeks 5-8)

Current Coverage: Good (75% of intermediate concepts) Gaps: Clinical workflow details (protocols, care plans), payer operations Recommendation: Add Phase 1 questions to support practical application

Advanced Users (Weeks 9-12)

Current Coverage: Strong (80% of advanced concepts) Gaps: Specialized implementation details, production deployment Recommendation: Add Phase 2-3 questions for comprehensive mastery

Conclusion

The FAQ coverage gaps analysis identifies 55 uncovered concepts across 13 high-priority, 23 medium-priority, and 19 low-priority categories. The recommended strategy is to add 10-13 high-priority questions immediately, focusing on patient data fundamentals, provider credentials, payer essentials, and data governance. This targeted enhancement will raise overall coverage from 73% to approximately 80% while addressing the most critical knowledge gaps.

Payer Perspective represents the largest gap (40% coverage) and should be prioritized in Phase 2 enhancements to provide balanced coverage across all healthcare stakeholder viewpoints.

The FAQ's current 73% coverage is strong for core learning objectives, with perfect coverage of foundational concepts and query languages. The identified gaps primarily affect specialized workflows and advanced applications rather than fundamental understanding.

Next Steps: 1. Prioritize 10 high-priority gap questions for immediate addition 2. Draft answers following existing quality standards (150-word average, examples, source links) 3. Update chatbot training JSON with new questions 4. Refresh quality report after additions 5. Monitor user feedback to validate gap prioritization

Report Generated: 2025-11-07

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