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National Health CouncilLearningLab
Patient Experience + Innovation Center

PXI LearningLab

A curated library of trusted resources, tools, and real-world examples advancing patient-centered AI and digital health innovation.

The PXI LearningLab is a curated knowledge hub designed to help patient organizations, healthcare innovators, and industry partners navigate the rapidly evolving world of artificial intelligence and digital health.

Here you'll find trusted educational resources, real-world examples of AI-powered tools, and practical guidance from across the healthcare ecosystem. LearningLab highlights innovations from patient organizations, leading research groups, and industry leaders working to ensure emerging technologies are transparent, responsible, and designed with patients at the center.

Our goal is simple: make it easier for organizations to learn, collaborate, and build technologies that improve health outcomes while strengthening trust.

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Section 1

Featured PXI Partner Resources

PXI partners are helping shape the future of responsible, patient-centered AI. These resources highlight leading initiatives, research, and educational programs developed by organizations collaborating across the healthcare ecosystem.

Digital Medicine Society (DiMe)

Scaling Trusted, High-Impact AI Care Navigation

Navigating healthcare can be complex and fragmented. Patients often face barriers scheduling appointments, coordinating providers, and managing insurance. This initiative explores how AI-powered care navigation tools can improve access, reduce administrative burdens, and support more equitable care delivery while ensuring solutions remain trustworthy and patient-centered.

Digital Medicine Society (DiMe)

Digital Medicine Academy®

The Digital Medicine Academy®, developed by the Digital Medicine Society, offers education and training on digital health and AI for healthcare leaders, researchers, and innovators. The program draws on global expertise from regulators, academic institutions, and industry to build practical knowledge about emerging digital medicine technologies.

Section 2

Patient Organization Innovation Showcase

Patient organizations are increasingly exploring how AI and digital technologies can support their communities. This section highlights real-world tools and initiatives developed by patient groups working to improve access to trusted health information and support services.

Marfan Foundation

Community Companion

Launched in fall 2025, the Marfan Foundation's Community Companion is an AI-powered tool designed to help individuals living with Marfan, Loeys-Dietz, VEDS, and related aortic conditions quickly find trusted information. The tool searches the Foundation's educational resources and clinical guidance to provide conversational answers to non-urgent questions. It does not learn from user conversations or the open internet and is designed to complement — not replace — human support services.

Epilepsy Foundation of America

SAGE AI Assistant

SAGE is the Epilepsy Foundation's AI-powered assistant — built on over 20 years of trusted medical knowledge, and designed to walk beside you with clarity, accuracy, and genuine compassion.

Section 3

Patient & Caregiver Education

Digital health tools are becoming an important part of modern healthcare. These educational resources help patients and caregivers better understand emerging technologies, navigate digital health platforms, and access reliable information.

Patient Empowerment Network

Digitally Empowered®

The Digitally Empowered® course helps individuals become more comfortable using digital tools to access health information, connect with support communities, and participate in their care. The program focuses on helping patients find reliable information and engage with healthcare providers to make more informed decisions.

Patient Empowerment Network

DECODE

As artificial intelligence (AI) reshapes oncology, DECODE empowers cancer patients and families with clear, practical insights into AI and other emerging healthcare technologies, breaking down how these innovations are transforming cancer care and helping them navigate AI-driven advancements with confidence.

Section 4

Responsible AI & Governance

As AI becomes more integrated into healthcare, ensuring responsible development and implementation is essential. These resources provide frameworks, standards, and best practices to help organizations build and deploy trustworthy AI systems.

Coalition for Health AI (CHAI)

About CHAI

The Coalition for Health AI works across industry, government, academia, and patient communities to advance responsible development and oversight of AI in healthcare. CHAI's mission is to foster collaboration that ensures AI systems are safe, equitable, and trustworthy across the health sector.

Pharmacy Quality Alliance (PQA)

AI in Pharmacy Quality

PQA is exploring how AI can support medication safety, adherence, and quality measurement. Their work focuses on ensuring that AI-powered pharmacy tools are evidence-based, equitable, and aligned with patient-centered quality standards.

Section 5

AI Use Cases in Patient-Centered Health

Explore how AI is being applied across the healthcare ecosystem to improve patient outcomes, streamline care delivery, and advance health equity.

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AI Care Navigation

AI-powered tools that help patients schedule appointments, coordinate care across providers, and navigate insurance — reducing administrative burden and improving access.

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Clinical Trial Matching

Algorithms that match patients to eligible clinical trials based on diagnosis, treatment history, and geographic proximity — accelerating enrollment and improving diversity.

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Patient-Reported Outcomes

AI systems that collect, analyze, and surface patient-reported outcomes in real time, giving clinicians actionable insights between visits.

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Diagnostic Support

AI tools that assist clinicians in interpreting imaging, pathology, and lab results — improving diagnostic accuracy and reducing time to treatment.

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Health Literacy Chatbots

Conversational AI tools that help patients understand their diagnoses, medications, and care plans in plain language — built with patient communities, not just for them.

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Bias Detection & Equity Auditing

Frameworks and tools for identifying and correcting algorithmic bias in health AI — ensuring equitable performance across race, gender, age, and socioeconomic status.

Contribute to the LearningLab

Have a resource, tool, or case study that advances patient-centered AI? We want to hear from you. The LearningLab grows through community contribution — submit your resource for review and help build the field's most trusted knowledge base.

All submissions are reviewed by the PXI team before publication.

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