Thematic Analysis Methodology

The systematic review employs a deductive-inductive thematic analysis approach organized around five thematic axes.

Five Thematic Axes

1. Governance, Rights & Ethics

Focus: Data governance frameworks, patient rights, ethical considerations

Key Themes: - GDPR alignment and harmonization - Patient consent mechanisms - Data altruism frameworks - Ethical oversight structures - Rights to access and portability

Studies: ~15 papers addressing governance frameworks

2. Secondary Use & PETs

Focus: Privacy-enhancing technologies, anonymization, data access

Key Themes: - Anonymization techniques - Differential privacy - Secure multi-party computation - Data access bodies - Permit systems

Studies: ~12 papers on technical privacy solutions

3. National Implementation

Focus: Member state transposition, regulatory challenges

Key Themes: - Transposition timelines - Institutional readiness - Resource allocation - Cross-border coordination - Legacy system integration

Studies: ~10 papers on implementation challenges

4. Citizen Engagement

Focus: Public trust, participation, health literacy

Key Themes: - Trust building mechanisms - Public consultation processes - Health data literacy - Participation models - Communication strategies

Studies: ~8 papers on citizen perspectives

5. Federated Learning & AI

Focus: Distributed analytics, AI governance, interoperability

Key Themes: - Federated learning architectures - AI model governance - Interoperability standards - HL7 FHIR implementation - Algorithm transparency

Studies: ~7 papers on technical infrastructure

Coding Framework

The review uses a 7-category coding framework:

Category	Description
Governance	Regulatory frameworks, oversight
Technical	Technologies, infrastructure
Ethical	Rights, consent, fairness
Implementation	Practical challenges
Stakeholder	Actors, interests
Outcome	Impacts, benefits
Context	Setting, conditions

Analysis Process

Phase 1: Familiarization

Full-text reading
Initial observations
Data extraction

Phase 2: Initial Coding

Deductive codes from framework
Inductive codes from data
Code refinement

Phase 3: Theme Development

Code clustering
Theme identification
Axis assignment

Theme coherence check
Cross-axis connections
Final synthesis

Access Thematic Analysis

from ehdslens import EHDSAnalyzer
from ehdslens.data import ThematicAxis

analyzer = EHDSAnalyzer()
analyzer.load_default_data()

# Analyze specific axis
analysis = analyzer.analyze_axis(ThematicAxis.GOVERNANCE_RIGHTS_ETHICS)

print(f"Studies: {analysis['total_studies']}")
print(f"Themes: {analysis['themes']}")

References

Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006;3(2):77-101.