Detect where external change creates a new decision need.

Flagship intelligence and adoption system

Prevention & Healthspan Adoption Intelligence

A living view of the evidence, measures, technologies, payment pathways, workflows, safeguards, and institutional decisions required to move prevention and healthspan innovation into responsible use.

Users: health systems, payers and employers, policymakers, researchers, technology developers, funders and mission-aligned coalitions

Outputs: evidence briefs, measure and endpoint maps, adoption diagnostics, scenario analysis, decision briefs, monitored pathways

Intelligence and decision support do not establish clinical effectiveness, regulatory authorization, coverage, investment merit, or guaranteed adoption.

Monitored pathways: ACCESS, TEMPO, Medicare App Library, PROSPR, XPRIZE Healthspan, digitally derived measures, AI-enabled care, other programs.

Readiness diagnostic + intelligence product

Medicare App Library Readiness Navigator

Turn CMS's multi-step app-library requirements into a readiness path covering identity, CMS Aligned Networks, FHIR, evidence, privacy/security, usability/equity, DiMe/CARIN evaluation and ACCESS interactions.

Users: digital-health apps, conversational AI vendors, diabetes/obesity platforms, health systems, investors

P4L could produce: eligibility/readiness assessment, evidence gap map, partner dependency map, application checklist, change alerts

Current public reference: CMS Medicare App Library requirements decision object

Trigger signals: SIG-2026-012 · SIG-2026-013 · SIG-2026-014 · SIG-2026-026

Standard + readiness lab

Clinical Agentic AI Adoption & Control Standard

Define evidence, autonomy boundaries, escalation, monitoring, interoperability, post-deployment safety, governance and institutional adoption requirements for clinically consequential agents.

Users: health systems, clinical AI developers, federal programs, payers, investors

P4L could produce: agent authority matrix, clinical adoption standard, overseer/monitoring requirements, deployment diagnostic, policy watch

Trigger signals: SIG-2026-017 · SIG-2026-024 · SIG-2026-010 · SIG-2026-013

Healthspan evidence + commercialization observatory

PROSPR Healthspan Translation Observatory

Track healthspan endpoints, biomarkers, trial architecture, interventions, regulatory interactions and commercialization implications across PROSPR projects.

Users: healthspan companies, researchers, investors, health systems, policy teams

P4L could produce: endpoint tracker, trial/award graph, claim-readiness map, commercialization watch, healthspan evidence brief

Trigger signals: SIG-2026-005 · SIG-2026-006 · SIG-2026-007 · SIG-2026-020

Data/infrastructure adoption product

AI-Ready Health Data & Interoperability Readiness Map

Map USCDI v7, HTI-5, FHIR, CMS Aligned Networks, identity and app requirements into the minimum data/infrastructure conditions for AI-enabled care and prevention.

Users: AI developers, digital-health companies, health systems, EHR/integration teams, payers

P4L could produce: data readiness diagnostic, standards crosswalk, agent/data access map, implementation watch, stale-standard alerts

Trigger signals: SIG-2026-013 · SIG-2026-014 · SIG-2026-024 · SIG-2026-026

Evidence-to-adoption service/product

Real-Time Evidence Generation Readiness Sprint

Help digital-health and life-science teams align digital measures, trial data flows, evidence claims and regulatory decision needs with FDA's evolving DHT and real-time trial direction.

Users: DHT developers, biopharma, trial sponsors, research platforms

P4L could produce: evidence architecture, endpoint/measure readiness, data-flow map, regulatory question set, trial-to-adoption plan

Trigger signals: SIG-2026-015 · SIG-2026-016 · SIG-2026-021

Scenario + adoption diagnostic

CY 2027 RPM/RTM Business-Model Stress Test

Model how proposed initiating-visit, staffing, contractor and bundling changes could alter RPM/RTM economics, compliance and delivery design. Public comments are due September 14, 2026; the provisions remain proposed until finalized.

Users: RPM/RTM vendors, medical groups, digital-health investors, health systems

P4L could produce: scenario model, risk flags, operating-model redesign options, final-rule alert, buyer/economic case

Trigger signals: SIG-2026-008 · SIG-2026-025

Market/adoption intelligence

Authorized AI Device → Real Adoption Tracker

Connect FDA authorization to evidence, implementation, health-system adoption, workflow fit, postmarket performance and reimbursement—showing which AI devices actually cross the adoption gap.

Users: health systems, AI developers, investors, payers

P4L could produce: authorization/adoption database, adoption-gap assessment, postmarket evidence tracker, buyer map

Trigger signals: SIG-2026-010 · SIG-2026-023

Research-to-adoption intelligence

IGoR / AI-Native Biomedical Research Translation Watch

Track whether AI-orchestrated hypothesis generation, experimental protocols, lab marketplaces and model feedback loops produce validated speed/reproducibility gains and new translation bottlenecks.

Users: research institutions, biotech, AI labs, funders

P4L could produce: program/award graph, validated 10× benchmark watch, protocol/interoperability map, translation implications

Trigger signals: SIG-2026-018

Convening intelligence / thought leadership

Geroscience 2026 Agenda-to-Action Briefing

Build a pre-summit issue map and post-summit evidence/consensus delta identifying what changed in geroscience priorities, endpoints, translation and health focus.

Users: researchers, healthspan companies, policy teams, media, investors

P4L could produce: pre-summit agenda map, live watchlist, post-summit delta, policy/adoption implications

Trigger signals: SIG-2026-011