Clinical Decision Support Expert Witnesses

Albany, California

Medical Management, Information Technology - Internal Medicine, Clinical Decision Support, Primary Care, Clinical Informatics, Medicaid Managed Care, Patient Safety, Health Information Technology, Medicare Managed Care, Medical Malpractice, Artificial Intelligence in Healthcare, Care Management, Health IT Liability, Electronic Health Records (EHR), Value-Based Care

Nate Favini, MD, MS is a Harvard-trained physician executive and clinical informaticist with 15+ years of experience spanning health information technology, AI-enabled care delivery, Medicaid and Medicare managed care, and federal health policy. He holds dual board certification in Internal Medicine and Clinical Informatics — one of fewer than 1,000 physicians nationally to hold both. Licensed in 17 states. Dr. Favini maintains an active clinical practice as an attending physician and residency preceptor at Highland Hospital (Alameda Health System), Oakland — one of California's premier safety-net institutions. He trained in Primary Care and Social Internal Medicine at Montefiore Medical Center (3,000+ patient FQHC panel) and has practiced across safety-net settings throughout his career. Clinical Informatics & Health IT: Board certified in Clinical Informatics, Dr. Favini served as a Policy Fellow at the Office of the National Coordinator for Health IT (ONC/HHS) during the HITECH...

Cambridge, Massachusetts

Artificial Intelligence, Health Informatics - Healthcare AI, Bad Faith Denials, Insurance Denials, HIPAA, Machine Learning, Prior Authorization, Agentic AI, Clinical Decision Support, FDA, RAG, LLM Hallucinations, Generative AI, Utilization Review, EEOC, AI Ethics, Algorithmic Bias, AI Governance, AI Fraud, Daubert, ChatGPT

AI expert witness with 15+ years building, deploying, and auditing 100+ production AI systems. Rare combination of practitioner, scholar, and researcher - the expert opposing counsel can't dismiss as "just an academic" or "just an engineer." Most AI experts fall into one category: academics who've never shipped production code, or engineers who can't write a defensible report. I've done both - built AI systems at Harvard Medical School, Apple, and federal agencies while publishing award-winning peer-reviewed research on AI ethics and large language models. This dual foundation creates opinions that survive Daubert challenges and cross-examination. Technical expertise spans multiple domains, including healthcare AI and insurance bad faith litigation, including prior authorization algorithms, utilization management systems, AI-driven claim denials, and clinical decision support failures. Deep experience with LLM hallucinations and defective outputs including GPT, Claude, and Llama fa...