Chatehr from Stanford Medicine accelerates the card assessment process

Chatehr from Stanford Medicine accelerates the card assessment process

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Chatehr, AI software developed on Stanford Medicine accelerates the graph reviews by allowing clinicians to ask questions about medical records.

Similar to how you can chat with a large language model like GPT-4, Stanford Health Care clinicians can make contact with a patient’s medical file via ChateHR.

In a statement, Stanford Medicine said that the technology, currently in the pilot phase, enables clinicians to ask questions about the medical history of a patient, automatically summarize graphs and perform other tasks.

Chatehr uses data from the health files of a patient to give her answer.

The software is currently available for a small group of people in the Stanford Hospital, consisting of 33 doctors, nurses, doctors’ assistants and nurses, who monitor the performance, refine the accuracy of them and strengthen the usefulness.

When clinicians get access to the tool, they are greeted with: “Hello, I am Chatehr! Here to help you talk safely with the patient’s medical file.”

At that stage, clinici can type a barrage of questions about the patient.

For example: Does the patient have allergies? What reveals their last cholesterol test? Have they had a colonoscopy?

“AI can expand the practice of doctors and other care providers, but it is not useful unless it is embedded in their workflow and the information used by the algorithm is in a medical context,” said Nigam Shah, Chief Data Science Officer at Stanford Health Care, said in a statement.

Shah, who led the team that developed the technology, added: “Chatehr is safe, it pulls directly from relevant medical data and it is built into the electronic medical file system, making it easy and accurate for clinical use.”

Chatehr is not intended for medical advice, Shah noted in the statement. He said that the software serves as a tool for collecting information and that all medical decisions remain in the hands of experts in health care.

The larger trend

In April, Samsung unveiled a joint research initiative with Stanford Medicine aimed at improving the Sleep Apnea detection function of the Galaxy Watch and the creation of Ai-Innovations for proactive care.

The sleep apnea -detection function, which has been received FDA again authorization Last year, Samsung’s Health Monitor app uses signs from moderate to severe obstructive sleep apnea in adults of 22 years and older.

Ultimately, Samsung wants to make the daily monitoring of sleep apnea possible and offer individuals valuable insights and tools for effective management of the condition.

AI Medical Service (AIM) signed in 2023 Joint research agreement with Stanford University School of Medicine to validate its diagnostic endoscopic AI.

The cooperation was intended to control the applicability of the Japanese Endoscopic AI in the United States, where 26,000 new cases of stomach cancers are diagnosed every year.

Other companies in the map assessment and the space for medical records include Layer Health, who collaborated with the White Plains Hospital in May to automate reporting in several clinical registers and to speed up the Hitlijder rating process.

White Plains Hospital participates in numerous clinical registers who require means to collect and submit patient data.

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