Life Sciences and Research Operations
Afiax can support research and life-sciences workflows where structured data capture, participant engagement, protocol execution, and interoperable exports are important. In this pattern, Afiax remains the clinical and research-record core while surrounding systems handle specialized operational or commercial concerns.
Common use cases
- participant onboarding and consent
- protocol and schedule-of-assessments management
- clinical and operational data capture
- diagnostics, specimen, and device-linked workflows
- participant-facing portals and remote assessments
- export into reporting, analysis, or study-delivery systems
Why this fits the Afiax architecture
Research workflows benefit from the same properties that Afiax needs elsewhere:
- reusable canonical data structures
- strong audit and provenance
- structured questionnaires and assessments
- Bot-driven workflow orchestration
- integration with external EHRs, labs, devices, and reporting systems
Core modeling patterns
The most common building blocks are:
ResearchStudyQuestionnaireandQuestionnaireResponseConsentPlanDefinitionActivityDefinitionObservationDefinitionObservationDiagnosticReportRequestGroup
These resources allow Afiax to represent protocol logic, collected data, participant workflow, and downstream export without abandoning the FHIR-centred source-of-truth model.
Integration model
Life-sciences workflows often still need other systems. Typical external integrations include:
- EHR and LIS history import
- ePRO or digital-assessment tools
- diagnostics and specimen systems
- analytics and reporting platforms
- document signing and operational systems
Those systems should integrate with Afiax through the interoperability layer and Bots rather than replacing the normalized record in Afiax.