Home Health AI
Advisory Council
Purpose
The shift to home-centered care isn’t just inevitable – it’s economically necessary. iTonic is positioned at the intersection of policy, technology, and patient engagement.
As care increasingly shifts beyond hospitals and clinics, the home has become the most important – and least standardized – setting in modern medicine. Once a patient leaves a clinical environment, continuity of care, engagement, adherence, and long-term outcomes are largely unmanaged by existing institutional frameworks.
This Council is being formed to address that gap.
Mission
The mission of the iTonic National Home Health AI Advisory Council is to:
- Establish best-practice standards for the responsible use of AI in home health settings
- Define ethical and clinical principles for post-discharge continuity of care
- Guide the integration of AI into daily patient engagement, monitoring, and support
- Ensure AI systems used in the home are clinically sound, transparent, and patient-centered
- Provide physician leadership in an emerging field that has not yet been formally defined
This Council does not replace clinical judgment. Rather, it helps shape how intelligent systems can responsibly support patients, families, caregivers, and providers once care moves into the home.
Scope of Focus
AI Supported
continuity of care after hospital or clinic discharge
Patient Engagement
and adherence in non-acute settings
Ethical Deployent
of AI in daily, longitudinal patient interactions
Integration
of AI with caregivers, families, and care teams
Guardrails
for safety, trust, and clinical responsibility in the home

Leadership
The Council is led by Dr. Aaron Spitz, MD, Founding Chair. Dr. Spitz’s clinical leadership and public credibility anchor the Council as a physician-first initiative. Under his leadership, the Council will convene top clinicians and scientists from diverse specialties who share a commitment to shaping the future of responsible home health AI.
Membership
Membership is by invitation only and limited to experts in Home Health AI and home-based care, including:
- Licensed clinicians actively practicing in home-based or post-acute care
- Home health and home-based care delivery leaders
- Transitions-of-care experts
- Rehab and support-service leaders
- Behavioral science and patient engagement leaders
- Caregiver and patient representatives
- Clinical informatics, AI safety/risk, and ethics experts
- Privacy and security experts
Founding Members
Aaron Spitz, MD
Javed Siddiqi, PhD
Yusuf Ruhullah MD, MBA
As an experienced Chief Medical Officer and healthcare management professional, Dr. Ruhullah understands both the clinical and business levers that drive sustainable growth. His insight positions iTonic’s AI platform at the nexus of operational efficiency and scalable, value-based care.
Muhammad Ahmad, PhD
He is Affiliate Faculty in the Department of Computer Science at the University of Washington Bothell and an Affiliate with the University of Washington’s Responsible AI Systems and Experiences initiative. His prior appointments include the University of Washington and Harborview Medical Center, the University of Minnesota’s Center for Cognitive Science and Minnesota Population Center, and the Indian Institute of Technology, Kanpur.
Dr. Ahmad has authored more than 50 peer-reviewed publications in artificial intelligence and machine learning, with research spanning behavioral and personality modeling at scale, algorithmic nudging, and the design of AI systems that operate safely and effectively in regulated environments. He has also served as a panelist at the United Nations, contributing to global discussions on AI governance, ethics, and societal impact.
He holds a PhD in Computer Science from the University of Minnesota, where his doctoral research focused on large-scale behavioral modeling. In addition to his academic and professional work, Dr. Ahmad is the creator of GrandpaBot, a decade-long AI project that reconstructs his father’s personality through machine learning. The project has received national and international media coverage and is widely cited as a meaningful example of how AI can preserve human memory, identity, and connection.
At iTonic, Dr. Ahmad leads the development of core AI intelligence, including clinical and behavioral modeling, responsible AI architecture, and the systems that power the company’s Home Health AI platform.
Dr. Mark Phillips
Mark has expertise in applied statistics, experimental design, survey development, and statistical modeling. He is the author of several published articles, including in peer-reviewed scientific journals, as well as numerous conference presentations on jury decision making, expert testimony, scientific evidence, eyewitness memory, and investigative interviewing. Recently, his interests have included jurors’ perceptions of ethnic minority attorneys and female attorneys, as well as non-English-speaking witnesses. Mark also co-authored a chapter on persuasion and argument development that was published in the Handbook of Trial Consulting, which is a leading professional textbook on trial consulting.
Dr. Phillips received his Bachelor’s degree in Psychology from UCLA and a Master of Science and Doctorate in Legal Psychology, with an emphasis in Cognitive and Experimental Psychology, from FIU in Miami. He was awarded First Prize for the best doctoral dissertation in psychology and law by the American Psychology-Law Society. He is a member of the American Psychology-Law Society and the American Society of Trial Consultants.
Leyan Phillips, MA
In addition to co-founding Bluedoor Group, a digital health innovation and growth agency based in Chapel Hill, NC, he is a Co-founder of the non-profit Digital Health Institute for Transformation (DHIT). An entrepreneur at heart, Lee is on the board of several start-up companies in the health sector, advising them on their product development and commercialization strategies. He serves as Executive Director of the Lampidis Cancer Foundation, and is Adjunct Professor and a member of the Advisory Council for UNC Gillings School of Global Public Health. He also co-founded the first conveyor-belt sushi bar chain in the UK in 1994. A fluent Japanese speaker, Lee holds a Masters and BA (Hons) degrees in Oriental Studies from Cambridge University in the UK.
Dr. L. Octave Ellis
Highlights of his career include enhancing the public's understanding or AI, implementing machine learning to uncover pivotal relationship dynamics, and utilizing advanced survey analysis to recommend process improvements. A working knowledge of R-Programming, Python Programming, and Tableau, has allowed him to developed visualizations that pinpoint critical drivers and KPI measures, enabling tailored strategies for heightened performance. Dr. Ellis's business experience also includes co-founding a startup and serving as an independent business development advisor, where he leverages his expertise to drive growth and innovation.
Armed with a PhD in Industrial/Organizational Psychology and a Master's of Science in Information Technology, he merges deep technical acumen with a profound understanding of human behavior to drive systemic improvements and manage projects. His skill set includes Lean Six Sigma, program analysis, and quality assurance, complemented by foundational knowledge in AI engineering, project management, and financial modeling.