Nvidia has partnered with Hippocratic AI, an AI healthcare company, to develop advanced generative AI "agents" that surpass human nurses on video calls while being significantly cheaper. This collaboration aims to create empathetic healthcare agents using Nvidia's cutting-edge technology and Hippocratic's specialized large language model (LLM).
The AI agents are designed to form human-like connections through quick conversational responses, offering a revolutionary approach to healthcare. This article debates the collaboration, its effectiveness, and the possible challenges. Start reading!
Partnership Overview
Nvidia and Hippocratic AI recently announced their collaboration to create advanced generative AI agents. The goal is to address healthcare staffing shortages and improve patient outcomes by:
- leveraging Nvidia's technology for AI development;
- utilizing Hippocratic's specialized large language model (LLM); and
- developing empathetic healthcare agents.
These strategies have been tested and proceeded to adoption, as it is detailed in the following section.
Testing And Adoption
Extensive testing and adoption have underscored the effectiveness of these AI agents. Over 1,000 registered nurses and 100 licensed physicians in the U.S. have tested Hippocratic's agents. Numerous healthcare providers are currently using these AI agents for non-diagnostic tasks.
Performance And Effectiveness
Data shows that Hippocratic's AI agents not only outperform human nurses but also outshine other AI models like OpenAI's GPT-4 and Meta's LLaMA 2 70B Chat in various categories:
- Identifying Medication Impacts On Lab Values: 79% accuracy vs. 63% for human nurses.
- Specifying Condition-Related Disallowed Over-The-Counter Medications: 88% accuracy vs. 45% for human nurses.
- Comparing Lab Values To Reference Ranges Correctly: 96% accuracy vs. 93% for human nurses.
- Detecting Toxic Dosages Of Over-The-Counter Drugs: 81% accuracy vs. 57% for human nurses.
AI agents also offer substantial cost savings; operating them costs just $9 per hour. According to the Bureau of Labor Statistics, the median hourly pay for nurses in the U.S. was $39.05 in 2022.
Addressing Healthcare Challenges
Nvidia and Hippocratic AI claim these AI agents can help alleviate the U.S. healthcare worker shortage. By refining their technology, the partnership aims to improve access to healthcare, enhance equity in healthcare services, and boost patient outcomes.
Expert Insights
Munjal Shah, co-founder and CEO of Hippocratic AI, highlighted their aim to refine their technology with Nvidia to address staffing shortages and improve healthcare access and outcomes. Kimberly Powell, Nvidia's healthcare VP, emphasized the potential of voice-based digital agents to revolutionize healthcare through human-like interactions.
By developing advanced generative AI agents that surpass human nurses in various cost-effective tasks, Nvidia and Hippocratic AI are addressing critical challenges such as staffing shortages and healthcare equity.
