CDHLS Adoption & Scale

Challenges & Solutions for Decentralized Health Adoption & Scale

Mission Statement

The Working Group on Challenges & Solutions for Decentralized Health Adoption & Scale seeks to enable the successful adoption of blockchain and decentralized AI technologies within healthcare enterprises. It will develop frameworks, use cases, and guidance to steer the safe, scalable, and equitable evolution of decentralized health systems, identify barriers to enterprise deployment, and develop practical, cross sector strategies that accelerate real world adoption. It will also provide a vital forum for participants to interact, learn, and prepare to lead the adoption of next generation healthcare AI applications.

Background       

Recent advances in AI, including large language models, offer vast potential to transform healthcare by driving advances in precision, cost-effectiveness, safety, and global accessibility. Today’s commercial AI systems, however, have significant limitations that impede their trustworthiness for sensitive healthcare applications:  the risk of "hallucinations" a reliance on opaque, black box models; insufficient explainability; and a critical lack of traceability to the source and provenance of the training data. Furthermore, the centralized accumulation of patient data to train these models creates data privacy and IP risks, significant regulatory liability, and constraints on cross-border collaboration.

Blockchain and decentralized AI technologies offer a path forward to address these limitations. Blockchain serves as a trust enabling AI infrastructure, providing a decentralized alternative to commercial, closed AI systems that offers transparent and tamper proof audit trails for data provenance and model integrity, global accessibility, and a secure economic layer to provide incentives and payments for contributions. Privacy preserving technologies, including federated learning and zero-knowledge architectures, enable AI models to be trained across distributed datasets without compromising patient data privacy and enterprise IP. Distributed governance frameworks enable decision-making among diverse stakeholders without a central intermediary exerting undue bias or control.   

Work Plan

To guide the successful adoption of decentralized health systems that leverage these technologies, the CDHLS Working Stream will pursue the following efforts:

  • Adoption Roadmaps and Knowledge Resources

The Working Group will develop and curate key knowledge resources to support early adopters within healthcare enterprises as they begin to pilot and deploy decentralized health systems.  Key activities include:

  1. Adoption Roadmaps: Define strategies and phased approaches for pilot and enterprise adoption of decentralized health systems. These roadmaps will evolve over time to integrate key use cases, technology recommendations, pilot approaches, and enterprise deployment strategies.
  2. Key Projects and Technology Platforms: Create a dynamic, curated repository of active projects, reference architectures, and technology platforms and options from vendors, including success metrics and known challenges.
  3. Regulatory Pathways: Curate expert opinions and existing guidance into an actionable set of briefs focusing on critical legal and regulatory barriers (e.g., patient data privacy, cross-border data governance, IP ownership).
  • Member Engagement and Forums

The Work Stream will operate communication channels to validate the knowledge resources, position CDHLS as a trusted advisor, and provide forums for mentoring, support, and best practices discussions among Council members.

  1. Periodic Member Forums: Host structured, confidential meetings (virtual or in person) for members to discuss, share, and stress test the curated knowledge resources. The agenda will be member driven, focusing on non competitive challenges in early experimentation.
  2. Conference Content Curation: Provide content and speaker recommendations to the BHTY parent organization for the annual ConV2X conference, positioning Council members as public experts on decentralized AI adoption and showcasing the knowledge resources and Working Stream activities.

>>> Register for more details on the Google Form document at 

https://docs.google.com/forms/d/e/1FAIpQLSdhTL0vkOIpy8SP4kOcP2WIMA9JzuDmLUhjV2ytdKgKXUuQw/viewform

For information on more details, roadmap, strategy etc, contact the group leader and/or schedule a discussion: Rich Marcotte - ramarcotte702@gmail.com