Munjal Shah Leads Hippocratic AI’s Beta-Testing Initiative for Groundbreaking Health Care LLM

Munjal Shah, a seasoned entrepreneur in artificial intelligence, is making waves in the healthcare industry with his latest venture, Hippocratic AI. The company, which Munjal Shah co-founded in 2022, is set to begin beta-testing its large language model (LLM)- powered products for nondiagnostic services such as chronic care management and post-discharge follow-up.

Hippocratic AI has partnered with over 40 providers, health systems, and digital health companies, including the University of Vermont Health Network, Memorial Hermann Health System, Fraser Health, and Side Health, to put its LLM through rigorous internal testing and gather feedback from health care professionals. This collaborative approach aims to ensure the technology’s safety and effectiveness before its official launch.

Munjal Shah’s vision for Hippocratic AI extends beyond addressing staffing shortages in the healthcare sector. “We’re on a mission to address staffing shortages and go above and beyond to unlock an age of true health care abundance. Imagine a world in which we have unlimited access to safe, high-quality, personalized care,” he stated.

The LLM developed by Hippocratic AI focuses on voice-based, patient-facing, nondiagnostic tasks. By curating the training set for its LLM, the company aims to harness generative AI’s learning and communication capabilities while maintaining a high degree of accuracy and reducing the risk of “hallucinations” that may occur in more general-purpose models.

Munjal Shah’s team has reported that their LLM has surpassed GPT-4’s performance across over 100 healthcare certifications, thanks to its healthcare-specific vocabulary and reinforcement learning with human feedback training. This achievement underscores the potential of generative AI to revolutionize healthcare delivery by increasing the volume of high-quality patient interactions at sustainable costs.

During the beta-testing phase, Hippocratic AI will prioritize areas such as chronic care management, post-discharge follow-up for conditions like congestive heart failure and kidney disease, and wellness assessments. The feedback from healthcare professionals will be crucial in refining the product and ensuring its seamless integration into existing workflows.

Feby Abraham, Ph.D., executive vice president and chief strategy and innovations officer for Memorial Hermann, expressed enthusiasm for the partnership, stating, “We believe this technology can help with workforce shortages by taking on some of the more basic tasks to support workflow. For example, calling a patient to provide preoperative instructions or following a procedure for post-discharge checkups.”

The University of Vermont Health Network, a rural healthcare provider, is proud to participate in the beta-testing phase. Jessica Moschella, senior VP for high-value care, emphasized the importance of being involved in developing new technology that supports patients’ unique needs and reduces health disparities in rural areas.

Munjal Shah’s commitment to collaborating with medical experts is further demonstrated by Hippocratic AI’s formation of advisory councils consisting of physicians, nurses, and administrators. With significant funding from investors such as General Catalyst and Andreessen Horowitz, the company is well-positioned to lead the way in integrating generative AI in health care.

As Munjal Shah and Hippocratic AI progress through the beta-testing phase and beyond, their efforts serve as a testament to the potential of AI to enhance patient engagement, improve outcomes, and streamline care delivery. The successful integration of this technology will require ongoing collaboration and dialogue among all stakeholders to ensure that advancements in AI align with the best interests of patients and providers alike.