Intervention Markers

Wubbe’s intellectual framework—the FAIR-Value Loop™—is his core IP, integrating:

  • Patient-Reported Performance Change (PRPC™)
  • World Health Organization Decease Assessment System 2.0
    (WHODAS Δ)
  • Maslow Pyramid-layered outcomes
  • Rapid Effectiveness Assessments (REA)
  • Findable, Accessible, Interoperable and Reusable (FAIR)

This system validates shared IP, closes data silos, and ties reimbursement and mission success to measurable, patient-defined improvement.

Formerly instrumental in evolving EPPOSI into Digital Health Europe (DHE), he ensures consumer-patients sit at the governance table for HTA and health impact decisions. His KPIs align with the European Health Data Space (EHDS), emphasizing health literacy equityfrailty-inclusive diagnostics, and FAIR data ecosystems free of copyright friction.


Intellectual Property System: The FAIR-Value Loop™ (Wubbe IP Core)

ComponentFunctionOutcome
1. DocSWISS DS SpacePatchTiny-AI, non-cloud autonomous sensor patchReal-time vital + performance monitoring in disconnected environments (space, defense, remote care)
2. PRPC™ IndexLiteracy-adjusted, patient-reported Δ in daily functionReplaces biomarkers as primary success metric; trademarked (EUIPO #018945321)
3. WHODAS Δ MappingLinks objective disability scores to subjective gainQuantifies “lived improvement” across frailty levels 1–6
4. Maslow-Layered OutcomesBenchmarks therapy against human needs hierarchyEnsures care funds physiological and psychosocial recovery
5. REA (Rapid Effectiveness Assessment)Peer-validated, 72-hour outcome reviewGenerates royalty-grade IP from patient narratives
6. FAIR-Value Loop™Closed-loop validation: PRPC → REA → Shared IP → Reimbursement/Mission GoEliminates copyright barriers; enforces GDPR; enables patient earnings

Standards Integration

Dual-Use Impact

  • Civil: Outcome-based reimbursement (+20% payer bonus if PRPC ≤ −15)
  • Space/Defense: Mission risk retraction via edge-AI autonomy (Moon, Mars, pilot, nuclear ops)

Core Claim (Wubbe Manifesto)“PRPC isn’t a score. It’s a statement: I got better — and the system finally listened. The FAIR-Value Loop is my IP because the patient wrote it — in their own words, on their own terms, and now they own it.”

FAIR-Value loop

  1. F — Findable
    Data should be easy to find for both humans and computers.
    • Use persistent identifiers (PIDs) like DOIs.
    • Include rich metadata describing what the data is.
    • Ensure data is indexed in searchable resources (like repositories).
  2. A — Accessible
    Once found, data should be available under clear conditions.
    • Use standardized protocols for access (e.g., HTTPS, APIs).
    • Include clear usage licenses and access permissions.
    • Even if the data isn’t open, its metadata should still be accessible.
  3. I — Interoperable
    Data should work with other data and systems.
    • Use standard vocabularies, formats, and ontologies.
    • Ensure metadata and data can be combined across disciplines and platforms.
  4. R — Reusable
    Data should be well-described and licensed so it can be reused in the future.
    • Include detailed provenance (who created it, how, when).
    • Use clear licenses that state how data can be reused.
    • Follow community standards for data and metadata.