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. 2019 Dec 15;7(4):100. doi: 10.3390/biomedicines7040100

Table 4.

Requirements for HSV registry design.

Category Requirement/Issue HSV Medical Registry Design Implications
Interoperability, population-level data Data exchange • API [29], FHIR [26]
• Consider open-source platforms
• Consider CERNER FHIR integrations
Data analysis Data collection, processing and analysis
Common terminologies Develop the system using the common and accepted standards and terminology for data schema definitions:
International Classification of Diseases and its clinical modifications
International Classification of Primary Care
Medical Dictionary for Regulatory Activities (MedDRA)
Cross-border integrations PARENT [20]
Accessibility Selection bias Accessibility according to standards (across socio-demographic, geographical location, language groups, also split by familiarity with technology, ability to communicate, etc.)
Patient-centricity, privacy, patient goals and engagement Roles of stakeholders are not defined Define the roles of stakeholders via use cases [31]
Security Patient access to data and content Design user-friendly dashboards, updated with real-time information [16]
Legislative requirements Ensure GDPR, HIPAA compliance and on the EU level, adhere to the cross-border healthcare directive (CBHD). Consider anonymising the data before it is shared
Personal privacy Investigate pseudo-anonymization and interviews cases
User experience (trust and openness) Use common frameworks and templates [32] for:
Design principles
Look and feel—grid, colours and typography
Reusable components and design patterns that solve common problems
Content style guide—how to write
Accessibility
Security of technology Consider encryption, server location, SSL, Database
Sustainability and extendability Maintenance of the technology platform and operations Holistic strategy for the system implementation, support and development
No dependency on proprietary tech platforms (open-source, widely adopted tech). Low dependence on future tech maintenance [33]
Long-term sustainability and development Flexibility in allowing additional fields if there are new diagnostic methods
Architecture allowing adding new data sources
Low-maintenance technology and architecture