Human outcomes
mortality, morbidity, function, quality of life, cognition, independence, adverse events, and patient experience.
P4L Intelligence
One public intelligence layer. Nine bounded capabilities.
P4L connects signals, evidence, proof, relationships, decisions, opportunities, retrieval, adoption readiness, and recurring synthesis while keeping maturity and limitations visible.
Capability manifest
Inspect what is public and how each capability is meant to be used.
Maturity is governed by one public enum: Live, Pilot, Building, Planned. Capability maturity is separate from evidence, policy, regulatory, or program status.
Live
Signal Radar
Track consequential changes that can alter institutional decisions.
LiveEvidence Explorer
Inspect what a source supports, how directly, and within what limits.
LivePublic Proof Ledger
Trace material claims to sources, versions, limitations, and freshness.
LiveIntelligence Graph
Explore relationships among programs, institutions, evidence, claims, and decisions.
LiveDecision Center
Turn information into explicit decision requirements, owners, gates, and next questions.
LiveOpportunity Radar
Surface consequential opportunities where evidence and adoption pathways are moving.
LiveAsk P4L
Retrieve the strongest source-linked records from the published P4L corpus.
PilotAdoption Diagnostic
Pressure-test institutional readiness across evidence, workflow, economics, governance, trust, and completion.
PilotP4L Brief
Connect signals, evidence, regulation, payment, institutional action, and what to watch next.
Evidence scope
Public corpus coverage
The current public corpus is a curated launch slice centered on authoritative program, policy, regulatory, standards, and R&D sources. It is not a comprehensive clinical evidence review of prevention, healthspan, longevity, interventions, biomarkers, technologies, outcomes, economics, or markets. Coverage is expanding by defined evidence track, with source type, population, method, uncertainty, applicability, and review status kept visible.
Evidence architecture
Eight evidence tracks
Expansion is organized through these tracks. Publication within a track does not imply comprehensive coverage.
Measures and endpoints
clinical outcome assessments, biomarkers, digital measures, functional tests, composite endpoints, validity, and meaningful change.
Prevention interventions
physical activity, nutrition and Food as Medicine, sleep, tobacco, alcohol, weight, hypertension, diabetes, mental health, vaccination, and screening.
Technologies and care models
diagnostics, wearables, remote monitoring, AI, digital therapeutics, MedTech, home-based care, and proactive-care workflows.
Implementation and adoption
workflow, workforce, procurement, usability, adherence, clinician trust, organizational readiness, scale, and sustainability.
Payment and economics
coverage, payment models, total cost, utilization, budget impact, incentives, and affordability.
Equity and access
population representation, disability, digital and rural access, language, affordability, differential performance, and distribution of benefit or burden.
Science and market landscape
trials, research programs, standards, companies, products, funding, partnerships, and competition, kept separate from evidence of benefit.