“The team at Cloudphysician is building AI-powerCloudphysician was born from a powerful vision: to merge clinical expertise with groundbreaking AI technology to pioneer autonomous patient care.
Founded and driven by physicians, we understand the daily challenges faced by healthcare providers. We envision autonomous systems enhancing healthcare delivery, empowering providers to focus on delivering care with empathy, compassion and human connection.
We equip providers with real-time intelligence, enabling proactive care, heightened patient safety and superior clinical outcomes - everywhere and for everyone.ed technology that gives healthcare providers a better understanding of patient conditions.
By using real-time video intelligence, we’re making proactive, data-driven care a reality, improving outcomes and safety across hospitals.”
Leadership
Dhruv Joshi, MD
Co-founder & Global CEO
pulmonary and critical care medicine
past associations
cleveland clinic, USA | medstar health, usa
Dileep Raman, MD
Co-founder & Chief of Healthcare
pulmonary, Critical care and sleep medicine
past associations
cleveland clinic, USA | texas tech health center, usa
Dhruv Sud
Chief AI Officer
past associations
EPIC R&D
Mandar Vaidya
CEO
past associations
McKinsey, OYO
Anil Valecha
CFO
past associations
Antuit, RIA advisory
Ayesha Gopal
Chief of Staff and Director Operations
past associations
Elevar Equity, Moody’s
Deric Frost
Head of Growth
past associations
Reelay | SnapMD | eVisit
Cloudphysician’s AI Care Network connects expert clinicians with AI tools like AINA & RADAR to enhance safety, streamline care & improve outcomes.
VISION
Our vision is to make autonomous patient care a reality, benefiting every patient and provider.
MISSION
Our mission is to break the iron triangle for providers, enabling them to deliver accessible, high-quality, and cost-effective care to all their patients.
FOCUS
Cloudphysician's primary focus is on developing visionary AI solutions that deliver real-time, actionable insights from patient video data. We specialize in creating disease-specific video AI agents that bring visual context to electronic medical records, enhancing clinical decision making, automating routine tasks and elevating patient safety and clinical efficiency.
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