
HealthBridge AI
AI clinical copilot with audio-to-text transcription.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | Seed | ||
Total Funding | 000k |
HealthBridge AI is a health-tech company that develops artificial intelligence solutions to streamline healthcare processes and reduce physician burnout. Founded in 2023 by Dr. Nelson Lau and Minh Nguyen, the company is headquartered in Sydney, Australia. Dr. Lau, the CEO, is a general practitioner with over three decades of clinical experience and was instrumental in creating Australia's largest national telemedicine service. Co-founder Minh Nguyen, an AI expert, previously served as the Chief Data Officer at Vingroup, Vietnam's largest tech conglomerate.
The company's main offering is JarvisMD, a clinical AI copilot designed to assist doctors. The platform's core feature is its advanced audio-to-text transcription service, which captures doctor-patient conversations and converts them into accurate, structured clinical notes, eliminating the need for manual documentation. Beyond transcription, JarvisMD provides an AI clinical copilot that offers evidence-based, personalized clinical recommendations to support physicians in making informed diagnoses and treatment decisions. This is intended to improve diagnostic accuracy, enhance the quality of patient care, and allow doctors to spend more time on patient interaction rather than administrative tasks. HealthBridge AI targets general practitioners and other healthcare providers, operating within the enterprise systems and HealthTech markets. The company has participated in the Generative AI Accelerator Programme, a joint effort by NUS, Block71, and Microsoft, and the Cyberport Entrepreneurship Program, which is backed by the Hong Kong Government.
Keywords: AI clinical copilot, medical transcription, clinical decision support, physician burnout, healthcare AI, audio-to-text, JarvisMD, patient care, medical documentation, health-tech, clinical workflow, digital health, Nelson Lau, Minh Nguyen, telemedicine, enterprise healthcare systems, AI assistant, patient outcomes, clinical insights, evidence-based recommendations