{"id":145927,"date":"2026-08-20T09:32:37","date_gmt":"2026-08-20T09:32:37","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/145927\/"},"modified":"2026-08-20T09:32:37","modified_gmt":"2026-08-20T09:32:37","slug":"how-health-systems-are-embracing-ai-chatbots-to-query-patient-records","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/145927\/","title":{"rendered":"How health systems are embracing AI chatbots to query patient records"},"content":{"rendered":"

Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at the FDA, and the boom in direct-to-consumer telehealth. Confidential tips can be sent on Signal at palmer.01.<\/p>\n

The pathologists were stumped. Six people had tried to identify a patient\u2019s cancer based on a recent lymph node biopsy. They\u2019d stained the cells 70 times to try to draw out more distinguishing features \u2014 but still, nobody had an answer.<\/p>\n

At Stanford, a physician called onto the case was trying out a new tool called ChatEHR, one of several large language model-powered tools being deployed by health systems to summarize patients\u2019 often-extensive medical records. It got a question: Did the patient have any history of skin lesions? After some back-and-forth, from the depths of the patient\u2019s history, ChatEHR delivered an answer: In a different health system, the patient had previously been diagnosed with sarcomatoid squamous cell carcinoma.<\/p>\n

It \u201ccompletely explained the findings in the lymph node,\u201d wrote the happy doctor in their feedback for the chatbot. \u201cIf that doesn\u2019t prove the value of ChatEHR, I don\u2019t know what does!\u201d\u00a0<\/p>\n

This was the kind of needle in a haystack doctors hoped to find when health systems first started experimenting with generative AI tools like ChatEHR to search and synthesize patients\u2019 health records. Clinicians often struggle to find the information they need to care for patients, because modern electronic health records have gotten so bloated. Today, a number of health systems are moving toward broad implementation of chatbots for EHRs<\/a>, both homegrown and vendor-built. And it turns out that solving diagnostic mysteries is the least of their selling points.\u00a0<\/p>\n

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