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ReHealth AI Insights

Preventive Medicine Insights

ReHealth Core Insights provides deep analysis of preventive medicine methodology and commercialization: how PSM generates billable evidence, how RWE supports NMPA registration, and how DRG/DIP reform restructures prevention department value.

From causal inference methodology to commercialization pathways, from hospital settings to insurer logic — helping practitioners understand the foundations of preventive medicine.

All Tech Methodology Use Cases Definitions Brand
Open Source · NEW
ReHealth AI HealthAgent: A Multi-Agent Health Intervention Simulator
ReHealth AI's open-source Python project for research and development on health-behavior and intervention simulation, released under Apache-2.0.
2026.10Open-Source Project
Explore the Project →
Project Update · NEW
Hospital–Industry Collaboration to Develop a Full-Course Urology Management LLM
The Second Affiliated Hospital of Nanjing Medical University and ReHealth AI are advancing the productization of Uro-LLM, with planned development, in-hospital deployment and pilot evaluation.
2026.10Project Update
Read Project Update →
Product & Service · NEW
Not Another Health App: How Institutions Deliver Preventive Services to Users
From invitation codes and QR activation to authorization and programme evaluation: why B2B2C prevention needs a traceable service chain.
2026.096 min read
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Policy · NEW
From Health Priority to Proactive Health: Signals from China's 15th Five-Year Health Plan
A practical reading of health priority, digital transformation, proactive health and medical-prevention integration, with clear boundaries on what policy direction does and does not establish.
2026.098 min read
Read Policy Brief →
Evidence · NEW
How Preventive Care Proves Value: From Project Metrics to Billable Evidence
From target populations and service records to attributable outcomes and reviewable materials: how prevention investment develops a shared value language.
2026.097 min read
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Service Design · NEW
Medical-Prevention Integration Is More Than APIs
Build coordinated proactive-health services through one population, one service process, one outcome definition and clear accountability boundaries.
2026.096 min read
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Policy
China's AI Preventive Medicine Policy in 2026
How four policy drivers are pushing AI preventive medicine commercialization.
2026.0510 min read
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Tech Explainer — For Everyone
Tech
How AI Predicts Cardiovascular Risk 1-3 Years Ahead
Heart attacks seem sudden, but the body signals early. A plain-language explainer of how AI spots high-risk people 1-3 years ahead from 16 routine metrics.
2026.058 min read
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Methodology — Causal Inference & RWE
Methodology
Why Correlation Fails Settlement
The settlement barrier isn't that prevention doesn't work. It's the methodological gap between "effective" and "provably effective." Payers require causal evidence, not correlation.
2026.04Essential Reading
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Methodology
How PSM is Applied in Preventive Medicine
From data input to matching execution to report output, a step-by-step breakdown of PSM in real-world preventive medicine.
2026.04
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Methodology
The Value of RWE in Preventive Medicine
RWE isn't a RCT substitute. In preventive medicine where RCTs are rarely feasible, RWE is the best alternative framework.
2026.04
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Use Cases — Hospital, Insurance, Enterprise
Use Cases
Why Hospitals Need a Closed-Loop Platform
Hospitals have prevention tools. What's missing is a platform that chains data into an attributable causal pathway.
2026.04Hospital
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Use Cases
How Insurers Assess Prevention Outcomes
Actuaries ask completely different questions than physicians. Understanding their logic is prerequisite for evidence acceptance.
2026.04Insurance
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Use Cases
Why Enterprise Health ROI Is Hard to Calculate
Four root challenges: dispersed benefits, unclear attribution, time mismatch, and monetization difficulty.
2026.04Enterprise
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Definitions — Industry Understanding
Definition
Why Preventive Medicine Has Failed to Commercialize
Prevention's value is unquestioned, but commercialization has stalled. Four structural barriers: payment misalignment, proof difficulty, time mismatch, and incentive distortion.
2026.04Industry Analysis
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Definition
What is Prevention Settlement
Converting health improvements from preventive interventions into formally reimbursable items via standardized causal evidence.
2026.04
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Brand — ReHealth AI Product Logic
Brand
Why the 4-Step Loop Is Complete
Many companies use these four terms. Most stop at step two. Closed-loop isn't four features stacked together — it's a causal chain. Break any link and settlement fails.
2026.04Product Logic
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Demo
Experience ReHealth Core Demo
Run risk prediction and PSM attribution analysis in the demo system, generating sample billable evidence reports.
Live Demo
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Key Takeaway

The commercialization bottleneck in preventive medicine is not technology — it's evidence standards. This section provides deep analysis of PSM causal attribution, RWE, and prevention settlement commercialization pathways.

Core Concept Definitions

Deep dives into prevention settlement, billable evidence, and PSM causal attribution methodology

Prevention Settlement → Billable Evidence → PSM Causal Attribution →