K Health's AI has been trained on healthcare-specific data, including deidentified data from 10 million patients at Mayo Clinic. The AI's diagnoses were found to be in agreement with physicians and nurses 84.2% of the time, with the top-ranked diagnosis agreed upon 60.9% of the time. The technology could expedite the intake process for patients with low-acuity conditions, enabling physicians to diagnose faster and spend more time on complex cases.
Key takeaways:
- Los Angeles-based Cedars Sinai is planning to adopt an artificial intelligence chatbot from startup K Health to help guide patients to the appropriate level of care and connect them with a human provider if necessary.
- Cedars-Sinai also invested in a $59 million funding round for K Health, which is valued at about $800 million. The health system plans to launch an app that will link the chatbot to its Epic EHR system.
- K Health's AI has been trained on healthcare-specific data, including deidentified data from 10 million patients at Mayo Clinic. The AI's diagnoses were agreed with by physicians and nurses 84.2% of the time, and the top-ranked diagnosis was agreed with 60.9% of the time.
- Jon Ebbert, MD, a professor of medicine at Mayo Clinic, believes the technology could speed up the intake process for patients with low-acuity conditions, allowing physicians to make diagnoses faster and spend more time on complex cases.