Munjal Shah, co-founder and CEO of Hippocratic AI, has partnered with over 40 healthcare providers, health systems, and digital health companies to beta test its cutting-edge Large Language Model (LLM) powered products. The partnerships, which include esteemed organizations such as the University of Vermont Health Network, Memorial Hermann Health System, Fraser Health, and Side Health, mark a significant step forward in Hippocratic AI’s mission to revolutionize healthcare through AI-driven solutions.
Founded by Munjal Shah in 2022, Hippocratic AI has been developing an LLM specifically tailored to the healthcare industry. It focuses on non-diagnostic services such as chronic care management and post-discharge follow-up. By leveraging recent advancements in LLM technology and prioritizing safety and effectiveness through rigorous testing, Munjal Shah and his team aim to unlock the true potential of generative AI in healthcare.
The beta-testing phase will subject Hippocratic AI’s products to extensive internal testing and feedback from healthcare professionals, ensuring their safety and efficacy before launch. Munjal Shah emphasized the importance of this collaboration, stating, “Our partners will be invaluable in bringing this vision to life as they test the technology internally and ensure its safety.”
Hippocratic AI’s LLM has been meticulously trained in evidence-based medical research and incorporates feedback from healthcare professionals. This focused approach allows the model to excel in healthcare-specific tasks while reducing the risk of inaccuracies often associated with more general-purpose LLMs. Munjal Shah’s team has reported that their LLM has surpassed GPT-4’s performance across over 100 healthcare certifications, a testament to the model’s specialized vocabulary and reinforcement learning with human feedback training.
The beta-testing will prioritize areas such as chronic care management, post-discharge follow-up for conditions like congestive heart failure and kidney disease, and wellness assessments. These low-risk services play a crucial role in improving patient outcomes, particularly for those with chronic conditions requiring ongoing care and support.
Healthcare providers participating in the beta-testing have expressed enthusiasm for Munjal Shah’s technology’s potential. Feby Abraham, Ph.D., executive vice president and chief strategy and innovations officer for Memorial Hermann, noted, “We believe this technology can help with workforce shortages by taking on some of the more basic tasks to support workflow.”
Jessica Moschella, senior VP for high-value care at The University of Vermont Health Network, highlighted the importance of rural healthcare providers in developing innovative technologies like those created by Munjal Shah and Hippocratic AI. “Being involved in this phase allows us the opportunity to lead the way for rural healthcare by aiding in the development of new technology that will support our patients’ unique needs and reduce health disparities,” she stated.
Hippocratic AI’s commitment to collaboration with medical experts is further underscored by forming several advisory councils comprising physicians, nurses, and administrators. With significant investments from leading venture capital firms like General Catalyst and Andreessen Horowitz, Munjal Shah and his team are well-positioned to drive transformative change in the healthcare industry.
As Hippocratic AI progresses through its beta-testing phase and beyond, Munjal Shah’s vision for generative AI in healthcare serves as a beacon for the industry. The successful integration of AI into healthcare will require ongoing collaboration, adaptation, and dialogue among all stakeholders to ensure that technological advancements ultimately benefit patients and providers alike.