Anikia Nelson

About Anikia Nelson

As a Fractional Clinical Product & AI Strategy Partner, I specialize in translating complex clinical workflows and specialty nuance into AI-powered, adoption-ready products physicians trust, adopt, and champion. I help digital health and AI companies who are struggling with physician trust, unclear clinical workflows, and stalled product adoption achieve measurable clinical credibility, sustained usage, and commercial traction by grounding AI innovation in real-world clinical decision-making and product strategy. My unique combination of physician training, senior product leadership, and deep experience in AI and value-based care sets me apart, enabling me to deliver clinically rigorous, market-ready solutions for companies looking to scale products that power the future of healthcare. AI Clinical Workflow Design: Led specialty-specific workflow design, prompt engineering, and clinical use case development for Doximity GPT and Scribe, directly improving physician adoption and model applicability across care settings. Advanced Clinical Use Case Development: Built clinical segmentation and performance models across 16+ specialties, enabling more precise generative-AI applications and strengthening payer and provider network strategies. Product-Market Fit & Commercial Strategy: Directed end-to-end clinical product development and go-to-market strategy for payer-facing analytics at Milliman MedInsight and Clarify Health, driving competitive differentiation, revenue growth, and national market adoption.I bring over a decade of experience across clinical product leadership, AI clinical workflow design, evidence-based medicine, and health equity innovation—partnering with founders and product teams to accelerate product credibility, refine workflow integration, validate AI safety, strengthen clinician engagement, and drive adoption at scale.Whether advising on workflow mapping, designing clinical evaluation frameworks, translating AI capabilities into clinician-centered UX, or shaping product-market fit strategy, I help teams build AI products that are clinically sound, commercially viable, and ready to scale.Specialties:AI clinical workflow design • Generative AI use case development • Prompt engineering for clinical tasks • Clinical product strategy • Product-market fit & commercialization • Physician engagement & advisory board leadership • Health equity & bias mitigation in AI • Value-based care analytics • Clinical UX/content strategy • Go-to-market support for AI/ML products • Cross-functional leadership & C-suite advisory

Experience

1. Director of Product

   Rocket Doctor

   Mar 2026 — Present

Education

• Massachusetts Institute of Technology

  Bachelor of Science (B.S.), Brain and Cognitive Sciences

  2006 — 2010

• Duke University School of Medicine

  Doctor of Medicine (M.D.), Medicine

  2010 — 2014

Skills

• Microsoft Word
• Basic Life Support (Bls)
• Organizational Development
• Community Outreach
• Nonprofits
• Program Management
• Microsoft Office
• Patient Advocacy
• Medicine
• Healthcare
• Research
• Organizational Leadership
• Public Health
• Strategic Planning
• Management
• Healthcare Management
• Public Speaking
• Clinical Research
• Pediatrics
• Nonprofit Organizations
• Social Media
• Fundraising
• Data Analysis
• Epic Systems
• Medical Doctor
• Leadership