Doctors, nurses and other doctors in Stanford Healthcare are now able to interact directly with electronic health records, through a new software tool known as CHATEHR.
Why do it matter
The tool, designed by data scientists at Stanford Medicine, is tried as a way to help doctors participate smoothly with their EHRS, as stated last week in Stanford News elementTo help reduce the administrative burden by allowing them to ask questions about the history of their medical patients.
The LLM model, similar to GPT-4 Openai, can also help in automating the summary of the sick charts, among other abilities. CHATEHR uses information from individual health records to provide their response.
Technology has been working over the past two years, when the researchers first realized the possibility to make LLMS easier to use-and made workflow for doctors.
CHATEHR is only available for a small group of doctors at Stanford Hospital today: about 30 or so, doctors, nurses, PAS and NPS, who are assigned to monitor their accuracy and help improve their capabilities.
But hope, information technology leaders say that the program, despite its inability to provide medical advice or decision support, will be able to collect data from EHR about the patient’s longitudinal record and answer questions about its health history, which will save time for doctors at the care point.
“You will open a new way for doctors to interact with electronic health records in a more simplified and effective way News element.
[Watch our CIO Spotlight Q&A with Pfeffer from 2023, where he discusses the health system’s AI priorities.]
“This is a unique counterpart to integrate LLM’s capabilities directly into doctors’ exercise and workflow,” he added.
The biggest direction
Reactions that support artificial intelligence with EHR systems Not new, of courseNLP processing and other tools helped to make documentation and drawing doctors and nurses easier for doctors and nurses.
But the noise around Chatgpt in 2022 helped spark Wide -widespread interest in NLP and AI TawylidiDuring the past three years, it has become clear LLMS can do great health care when Published carefully.
Stanford, a A long -term leader in creating artificial intelligenceIt is a good site for innovation. The ChateHR tool appears to have a great value for doctors who enjoy exhaustion.
At the same time, as shown in its slow operation of the experimental project – as it is clear from two recently Health care news Profiles Artificial intelligence leaders headed by Stanford – The health system takes a file An accurate and pasture approach How to implement these tools in clinical settings.
In the record
“The electronic medical registry has made it easier to use, meaning that doctors can spend less time to roam every corner and corner of it to obtain the information they need,” said Dr. Senha Jain, an early agent of medicine in Stanford. News element.
“Amnesty International can increase the practice of doctors and other health care providers, but it is not useful unless it is included in the workflow and information that the algorithm uses in a medical context,” added Negam Shah, the chief data science employee in Stanford Healthcare, added. “Chatehr is safe; it is withdrawn directly from the relevant medical data; it is built into the electronic medical record system, which makes it easy and accurate for clinical use.”
Mike Milliad is the executive of the Healthcare It News
Email Author: mike.miliaard@himssmedia.com
Healthcare is news that publish HIMSS.
