
AI for Health Equity Screens
Using simple models to spot potential disparities early and act.
Evidence-based insights on health economics, maternal health, real-world evidence, and women's empowerment. Translating research into actionable knowledge for practitioners and policymakers.
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Using simple models to spot potential disparities early and act.
Practical data tools that help CHWs prioritize care and referrals.
Using AI to scan literature and structure arguments without sacrificing rigor.
The journey from data collection to policy implementation in public health.
Evaluating the value of digital solutions beyond engagement metrics.
Combining pragmatic trials with real-world data to answer timely questions.
How lightweight AI augments public health monitoring to improve maternal outcomes.
Simple explanations and safeguards for observational research.
Practical steps to assess and improve EHR data fitness for use.
How reliable supply links to measurable improvements in care.
Selecting patient-centered outcomes and tracking them well.
Turning program evaluation into continuous improvement.
Building habits and tools that turn routine care into continuous learning.
Post-market methods to detect and assess safety signals.
Prioritizing outreach and preventive care with interpretable models.
Building a connected picture across siloed systems.
Clear visuals that prioritize decisions, not decoration.
How RWE complements clinical trials to inform product, policy, and practice.
Improving case ascertainment, review consistency, and follow-through.
Practical ways to surface insights from registries to support safer, faster care.
Turning billing codes into actionable prevention insights.
Faster insights from better sampling, prompts, and validation.
Using outcomes research to prioritize interventions that matter.
Demystifying common HEOR concepts used in frontline decisions.