Mediloop
RESEARCH & SECONDARY USE CONNECTORS

Results, Sharing, Governance / APIs & Production Readiness

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Enable governed secondary use of health data for research, real-world evidence and analytics with privacy, provenance and controlled outputs.

ResultsSharingDisclosure ControlGovernanceFHIR Bulk DataMQL (future)Production
Turn Data into Insights

Enable reproducible research and policy outputs.

Share Safely

Use disclosure control and governed sharing.

Compliant by Design

Meet applicable GDPR/EHDS/national controls with auditability.

Greater Impact

Move approved insights toward publication, policy and innovation.

End-to-End Flow
1
Analyze
Approved datasets in secure environment
2
Review & Validate
Disclosure, statistical and methodological review
3
Generate Results
Aggregates, summaries and reports
4
Share & Publish
Authorized data/report/regulatory output
5
Real-World Impact
Evidence, policy, planning and innovation
Output Types
Aggregated Statistics

Counts, rates, trends and effect estimates.

Cohort Characteristics

Approved aggregate demographics and clinical features.

Study Reports

Tables, figures and validated reports.

Regulatory Submissions

Approved CDISC or authority packages.

Approved Datasets

Pseudonymized datasets only when explicitly authorized.

Scientific Publications

Manuscripts, posters and presentations after disclosure review.

MQL Example
mqlCopy
# Conceptual FUTURE MQL aggregate output
FIND Patient WITHIN cohort "t2d-v1"
ANALYZE BY age_group
  METRICS count(), mean(HbA1c)
OUTPUT aggregate
MQL is future/planned; syntax remains conceptual.
FHIR Bulk Data Example
httpCopy
# Authorized bulk export pattern — capability/profile dependent
GET /fhir/$export?_type=Patient,Condition,Observation&_outputFormat=application/fhir+ndjson
Authorization: Bearer <research-scoped-token>
Bulk export must be tied to approved scope and output policy. Never expose unrestricted production export.
Sharing Example
httpCopy
# Illustrative governed research report submission
POST /v1/research/reports
Authorization: Bearer <token>

{
  "studyId":"study_2026_001",
  "reportType":"regulatory_submission",
  "destination":"authorized-health-authority"
}
Illustrative route; sharing destinations, agreements and output controls are governance-dependent.
Governance & Compliance
Research authorization and purpose-of-use
GDPR/EHDS/national legal framework as applicable
Disclosure control and re-identification risk assessment
Data sharing agreements and contractual restrictions
Ethics/regulatory approvals where applicable
Immutable audit and result lineage
Production Readiness
Use cases and data models validated
Security/privacy controls tested
FHIR/OMOP/CDISC conformance checks complete as relevant
Sandbox tests with representative non-production data
Monitoring/incident response configured
Operational runbooks and support in place
Output-review process staffed and documented
Key APIs & SDKs
SurfacePurposeStatus
Research APIRequests, cohorts, jobs, reportsPlanned/versioned
FHIR Bulk DataAuthorized bulk clinical exportCapability-dependent
OMOP Export APIResearch model datasetPlanned
CDISC Export APIStudy/regulatory packagesPlanned
MQL Query APIGoverned healthcare-native queryingFuture/planned
WebhooksJob/output statusPlanned/evolving
SDKsPython / JavaScript / Java helpersPublished versions only
Developer Integration Surface
SurfaceOperation / resourceUseStatus
Research APIrequests / cohorts / jobs / reportsGoverned orchestrationPlanned/versioned
FHIR Bulk Data$exportApproved interoperable extractionCapability-dependent
OMOP/CDISCexport datasets/packagesResearch/regulatory outputsPlanned
MQL Query APIgoverned query/aggregateHealthcare DSLFuture/planned
SDKs/Webhooksjobs/results notificationsDeveloper workflowPublished/planned
Next Steps
Try sandbox with approved synthetic data
Run sample cohort and transformation
Review disclosure/output workflow
Complete governance/security review
Prepare production onboarding
Monitor and audit all secondary-use activity