Vishnu Ravi, MD

Designing, developing, and implementing transformative technological solutions for Stanford Medicine's flagship innovation program including digital health, AI, diagnostics, and therapeutics. Notable projects include: QDG: The first connected care platform for Parkinson’s disease offering real-time, validated quantitative metrics for all motor signs, designated by the FDA as a Breakthrough Device. HrtEx: AI-driven platform for semi-automated, guideline-directed management of chronic cardiovascular diseases. SPIRA: A pharmacogenomics testing and reporting pipeline using next generation gene sequencing and Epic-integrated clinical decision support to enable precision prescribing. Nuclei.io: A platform for pathologists to train their own custom AI models that provide real time single-nucleus and tissue level diagnosis.

Founded at Stanford and Harvard Universities, ARISE (AI Research and Science Evaluation) is a collaboration between clinicians, informaticists, and researchers across academic medical centers to advance the field of healthcare AI by designing and executing rigorous, multi-center research studies. Our flagship projects include NOHARM, the first benchmark comprehensively evaluating AI safety with real-world medical cases, and the Medical AI Superintelligence Test (MAST) which seeks to curate the most robust and realistic clinical benchmarks to measure the performance of medical AI. At ARISE, I lead the Member of Technical Staff team that bridges our research and product development work. Learn more at https://arise-ai.org/

• Designed, developed, and implemented digital health solutions for research and clinical care at Stanford Medicine and partner institutions (see https://bdh.stanford.edu/projects). • Instructed CS342/MED253, a unique course where computer science and medical students develop real-world digital health solutions in collaboration with Stanford School of Medicine faculty and industry partners. Supported expansion of the course internationally to Chalmers University of Technology in Sweden. • Co-founded Stanford Spezi, an ecosystem of standards-based, open-source modules that serves as the foundation for numerous digital health applications at Stanford and other leading institutions internationally.

• Architected and developed a framework, CardinalKit, designed for rapidly building digital health apps that integrate patient-generated health data into research & clinical workflows. • Collaborated with partners at Stanford and other universities and healthcare institutions to design, build, and launch a variety of custom digital health solutions based upon the framework including benchmarking functional recovery after ankle fracture, life-space mapping, oral immunotherapy for food allergies, and at-home functional mobility assessments. • Leveraged CardinalKit user insights to create a strategic roadmap for the framework, culminating in the creation of Stanford Spezi, its next-generation successor.

• Teaching digital health application development to Computer Science undergraduate and graduate students with real-world projects at Stanford and partner healthcare institutions. • Supported the successful replication of the course in Sweden as TRA460 Digital Health Implementation at the Chalmers University of Technology in spring 2025. https://cs342.stanford.edu

• Practicing internal medicine in an outpatient clinic, including preventative care, acute, and chronic disease management.

• Developed the software architecture and clinical workflow integration for a remote hypertension management platform with automated guideline-based medication titration for a clinical trial sponsored by the American Heart Association. • Integrated the system with wireless home blood pressure devices and Stanford's Epic electronic health record system. • Managed deployment into multiple clinical settings (e.g. large academic medical centers, small independent clinics). • Published in the Journal of the American Heart Association: https://www.ahajournals.org/doi/10.1161/JAHA.123.030884

• Developed full-stack web and mobile applications for digital health with sensor and medical device integration, machine learning, and healthcare data interoperability standards including HL7 FHIR. • Built and deployed COVID-19 solutions in the UK, Sweden, and Germany. • See https://vishnu.io for examples of prior work.

• Starting in college, built web and mobile apps for clients on a freelance basis in the healthcare, education, and entertainment industries. • Languages and frameworks include Javascript (React, Angular, Node.js/Express), Swift and Objective C (iOS), Python (Flask), and Java (Spring).