Sheridan, Wyoming Aug 17, 2025 (Issuewire.com) - American Research and Policy Institute Executive Director Brings Deep Expertise in Health Policy and Data Analytics to Support PAI3's Mission of Democratizing AI Through Decentralized Infrastructure
PAI3, the pioneering decentralized AI network that enables privacy-preserving artificial intelligence through user-owned infrastructure, today announced the appointment of Dr. David Randall, Ph.D., Executive Director and Resident Scholar of the American Research and Policy Institute (ARPI), to its Advisory Board. Dr. Randall will provide strategic guidance as PAI3 continues to expand its privacy-first AI solutions for business-to-business (B2B) clients in regulated industries and business-to-government (B2G) applications serving citizens.
Strategic Leadership for Healthcare AI Innovation
Dr. Randall joins PAI3's Advisory Board at a pivotal moment as healthcare organizations, government agencies, and regulated industries increasingly seek AI solutions that preserve data privacy while delivering transformative capabilities. With his extensive background in health policy analysis, data analytics, and regulatory frameworks, he will help guide PAI3's expansion into markets where data sovereignty and compliance with strict privacy regulations are essential.
"We are delighted to welcome Dr. David Randall to our Advisory Board," said Pradeep Goel, CEO of PAI3. "David's unique combination of academic rigor, policy expertise, and practical experience in healthcare data analytics makes him an invaluable advisor as we scale our privacy-preserving AI solutions. His deep understanding of regulatory frameworks and his proven track record in blockchain healthcare applications align perfectly with PAI3's mission to democratize AI while maintaining the highest standards of data protection."
Addressing Critical Market Needs in Healthcare and Government
PAI3's decentralized AI network addresses the fundamental challenge facing modern healthcare and government AI adoption: the privacy paradox. Traditional centralized AI requires organizations to share sensitive patient data and citizen information with third-party providers, creating privacy risks, compliance challenges, and potential security vulnerabilities. PAI3's containerized AI technology enables organizations to leverage powerful AI capabilities while maintaining complete control over their sensitive data.
For Healthcare and Regulated Industries:
- Healthcare providers can deploy AI for diagnostic support, treatment optimization, and population health management while maintaining HIPAA compliance and patient privacy
- Insurance companies can implement AI-driven risk assessment and fraud detection without exposing sensitive patient or claims data
- Pharmaceutical companies can accelerate drug discovery and clinical research while protecting proprietary data and patient confidentiality
- Medical research institutions can collaborate on AI-powered studies while preserving patient anonymity and data sovereignty
For Government and Citizen-Facing Applications:
- Public health agencies can implement AI for disease surveillance and health outcomes analysis while protecting individual privacy
- Government healthcare programs can optimize service delivery and reduce administrative costs through AI automation
- Smart city health initiatives can leverage AI for community health insights while maintaining citizen trust
- Telehealth platforms can provide personalized care recommendations while ensuring complete data privacy
About the New Advisory Board Member
Dr. David Randall, Ph.D. brings over two decades of experience in health policy analysis, regulatory frameworks, and healthcare data analytics to PAI3's Advisory Board. He currently serves as Executive Director and Resident Scholar of the American Research and Policy Institute (ARPI), a not-for-profit academic research and policy organization based in Washington, DC. Dr. Randall also serves as Executive Director of the Consumer Driven Health Care Institute, focusing on healthcare technology applications that improve quality of care, access, and market mechanisms.
Dr. Randall has extensive experience as a former top insurance regulator, legislative staff member, healthcare consultant, and executive with insurance companies and provider trade groups. He has testified before both U.S. House and Senate committees on various health policy issues and has authored over two dozen peer-reviewed publications and professional articles, as well as book chapters on healthcare entitlements and the policy process surrounding healthcare reform.
Notably, Dr. Randall previously collaborated with PAI3 CEO Pradeep Goel during their strategic partnership between ARPI and Solve.Care, where they worked together to address inefficiencies in Medicaid systems using blockchain technology and data analytics. This prior collaboration demonstrated the powerful potential of combining academic research with innovative technology solutions to improve healthcare delivery and management.
"PAI3 represents a fundamental shift toward user-controlled AI that can revolutionize healthcare delivery while preserving the privacy and security that patients and providers require," said Dr. David Randall. "Having previously worked with Pradeep on blockchain applications in healthcare, I've seen firsthand how decentralized technology can address the most pressing challenges in our industry. PAI3's privacy-preserving AI platform has the potential to transform how we manage healthcare data, deliver personalized care, and conduct medical research—all while maintaining the trust and confidence of patients and the public. I'm excited to help guide PAI3 as it brings these critical capabilities to healthcare organizations and government agencies nationwide."
PAI3's Competitive Advantage in Healthcare
Unlike traditional cloud-based AI services, PAI3's decentralized network operates through user-owned nodes that create cryptographically secured environments for AI processing. This architecture provides unique advantages for healthcare applications:
- Patient Data Sovereignty: Healthcare organizations maintain complete control over patient data throughout AI processing, ensuring HIPAA compliance and patient trust
- Regulatory Compliance: Built-in privacy preservation meets the strictest healthcare and government regulatory requirements
- Transparent Auditing: All AI operations are verifiable and auditable without exposing sensitive patient information
- Interoperability: Decentralized architecture enables secure data sharing between healthcare providers while maintaining privacy
- Cost Efficiency: Distributed infrastructure reduces dependence on expensive centralized cloud services
- Research Enablement: Facilitates collaborative medical research while preserving patient anonymity and data protection
Proven Track Record in Healthcare Innovation
Dr. Randall's appointment builds upon PAI3's growing focus on healthcare applications and government solutions. His previous collaboration with CEO Pradeep Goel through the ARPI-Solve.Care partnership demonstrated successful application of blockchain technology to address Medicaid system inefficiencies, providing a foundation for PAI3's expanded healthcare initiatives.
The partnership between ARPI and Solve.Care focused on Medicaid Management Information Systems (MMIS) integration and addressed the complex challenges of rising Medicaid populations, system interoperability, and data security. This experience provides valuable insights for PAI3's development of privacy-preserving AI solutions for government healthcare programs and large-scale public health initiatives.
About PAI3
PAI3 is a decentralized AI network designed to democratize artificial intelligence by putting ownership and control back in the hands of users. Through its innovative containerized AI technology, PAI3 enables organizations to deploy powerful AI solutions while maintaining complete data privacy, regulatory compliance, and operational transparency. The network operates on user-owned nodes that collectively form a distributed supercomputer capable of handling enterprise-scale AI workloads without compromising security or privacy.
Founded on the principles of user ownership, community governance, and privacy preservation, PAI3 represents a fundamental shift from centralized AI monopolies to a more equitable, transparent, and user-controlled AI ecosystem. The company is backed by a global network of node operators, developers, and AI enthusiasts committed to building the future of decentralized intelligence.
For more information about PAI3, visit www.pai3.ai.
About the American Research and Policy Institute (ARPI)
The American Research and Policy Institute is a not-for-profit academic research and policy organization based in Washington, DC, dedicated to robust policy analysis and research that informs policymakers, practitioners, and the public on a wide range of issues. ARPI works collaboratively with leading academics and healthcare professionals to provide advisory and analytic services to insurers, universities, government agencies, and healthcare providers. The organization's research institutes include the Consumer Driven Health Care Institute, founded in 2004, with specific emphasis on healthcare technology applications aimed at improving quality of care, access, and market mechanisms to deliver healthcare services.
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This press release contains forward-looking statements regarding PAI3's business prospects and growth plans. These statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially from those projected.
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