AuxHealth
Conversational AI platform for automated patient information collection.
| Date | Investors | Amount | Round |
|---|---|---|---|
$2.0m | Seed | ||
| Total Funding | 000k | ||
AuxHealth, Inc. is a healthcare technology company developing a conversational artificial intelligence platform to automate the collection and documentation of patient information. The company was co-founded in February 2023 by CEO Dr. Ilya Valmianski, a machine learning scientist, and CPO William Shen, a Harvard Medical School MD Candidate. Valmianski previously led the development of an AI-driven patient intake tool at Kaiser Permanente and a conversational patient intake system at Curai. Shen's background includes work at NHS England, Partners in Health, and Massachusetts General Hospital, where he focused on new models of care.
The company's core technology utilizes large language models (LLMs) to conduct automated medical interviews with patients at any time. By decoupling the language understanding and generation capabilities of LLMs, AuxHealth aims to provide human-like conversational quality while preventing inaccuracies. The platform delivers an up-to-date medical note to clinicians, allowing them to start patient visits better informed and reduce time spent on documentation. AuxHealth's services can be integrated as a white-label solution for patient intake, triaging messages, or conducting follow-up care interviews. The business model targets both traditional and digital health providers, aiming to improve patient access, enhance care quality, and lower costs. The company also has a direct-to-consumer product called MDandMe, which is a conversational AI symptom checker.
In June 2023, AuxHealth announced a $2 million pre-seed funding round from the Steele Foundation for Hope to accelerate the development of its platform. The company has also received support from Harvard Innovation Labs and the Harvard Business School Rock Center for Entrepreneurship. Keywords: conversational AI, healthcare AI, patient intake automation, clinical documentation, large language models, LLM in healthcare, medical interviews, clinical workflow, digital health, healthtech, AI symptom checker, MDandMe, patient information collection, physician support, automated medical notes, care quality, healthcare efficiency, Ilya Valmianski, William Shen, generative AI