Clinical AI is stepping up to the big leagues, and K Health is the team that’s taking it there.
In an exclusive interview with Digital Health Wire, K Health CEO Allon Bloch took the lid off his company’s new AI Knowledge Agent, a first-of-its-kind GenAI system purpose-built for the clinical setting.
On the surface the AI Knowledge Agent looks and feels like a familiar medical chatbot, with a simple search bar interface for the user to ask natural language questions about their health. It isn’t until you see the responses that you realize you’re looking at something entirely unique.
The AI Knowledge Agent is about as far away from a rules-based chatbot as you can get. The agent is composed of an array of large language models enhanced by K Health’s own algorithms, carrying several major differentiators from today’s standard AI applications:
- It incorporates the patient’s medical history grounded by their EHR to provide highly tailored responses, enabling a level of personalization that’s impossible to match for standalone models (i.e. a diabetic and a heart failure patient will see different answers to the same question, using their own history, potential adverse drug interactions, etc.).
- It will be embedded into health systems to serve as a digital front door that intelligently routes patients to the right place to resolve their needs, reaching everything from primary care and specialists to labs and tests within the same interface.
- It’s optimized for accuracy by using curated high-quality health sources, then leverages multiple specialized agents to verify the answer matches the sources and the EHR data is appropriate. It will even tell you that it doesn’t know the answer rather than hallucinate.
In head-to-head testing against top tier foundation models, K Health’s multi-agent approach led to answers for sample medical questions that were 9% more comprehensive (included clinically crucial statements from the “gold standard” answer) and had 36% fewer hallucinations than its closest benchmark, GPT-4.
- Strong results, especially considering that the AI Knowledge Agent shines brightest in real-world situations where it can personalize its answers using EHR context.
For possibly the first time ever, GenAI has reached the point where it can support actual clinical journeys, delivering answers personalized to the patient’s medical history while connecting them directly to required care. The era of Googling symptoms then calling your doctor feels like it’s finally coming to an end.
The Takeaway
We’re very much in the opening act of clinical AI, and understandably cautious providers are only just beginning to test the waters. That said, it’s easy to imagine that we’ll one day look back at launches like K Health’s AI Knowledge Agent as key moments for building trust and confidence in the AI systems that reshaped care delivery.
