Credit score: Pixabay/CC0 Public Area
Stanford Drugs physicians have a brand new synthetic intelligence instrument to help them once they message sufferers about check outcomes. The know-how drafts an interpretation of scientific check and lab outcomes and explains them in a message utilizing plain language, which a doctor then opinions and approves.
The know-how provides to a rising variety of AI-based instruments poised to assist physicians spend much less time on administrative duties and extra time on extra significant work, similar to interacting with sufferers.
“Artificial intelligence has tremendous promise to enhance the experience of both patients and clinicians in the health care setting—and this tool is one of many ways that we are unlocking that potential,” mentioned David Entwistle, president and CEO of Stanford Well being Care. “At Stanford Medicine, we are proud to be at the forefront of implementing responsible AI in clinical care, with a focus on advancing and empowering better health for all.”
The instrument, constructed in-house, leverages Anthropic’s Claude 3.5 Sonnet LLM by way of Amazon Bedrock, an Amazon Internet Companies service for constructing, deploying and scaling generative AI functions. The instrument follows a mannequin just like the AI-powered draft message generator that creates responses to affected person inbox messages for well being care suppliers.
“It’s really about continuing to give back to the patient-provider relationship,” mentioned Michael Pfeffer, MD, chief info officer at Stanford Well being Care and the Stanford College of Drugs. “We hope this helps make time for that through reduced administrative tasks and by facilitating better communication and faster communication.”
Testing the instrument
When a doctor orders a check for a affected person, be it blood work, an X-ray, a biopsy or one thing else, the outcomes seem as medical knowledge with out interpretation. By legislation, these outcomes should be shared with the affected person as quickly as they’re prepared, however the descriptions are sometimes extremely technical and might be difficult to know with out a medical diploma. Meaning physicians are tasked with translating the outcomes for his or her sufferers.
“Millions of lab tests are ordered annually by physicians for their patients,” mentioned Aditya Bhasin, vp of software program design and growth at Stanford Well being Care. “By generating draft responses for our physicians, we not only assist them with that workload, but also provide timely, comprehensive comments to help patients understand their specific results.”
In a pilot check of the know-how, 10 major care physicians used the instrument for a month, and with their suggestions integrated, the staff ran the second pilot amongst a cohort of 24 physicians for a further two months. The drafts aren’t despatched on to the affected person after the instrument creates them—each is reviewed and, if crucial, edited, earlier than the doctor sends the word.
“As a clinician, I love that I don’t have to start with a blank page and the draft is in language that’s understandable for patients,” mentioned Christopher Sharp, MD, chief medical info officer at Stanford Drugs. “I’ve had patients say to me, ‘Dr. Sharp, you always write a comment on my result, and it makes me feel so much better.’ It takes effort and time to create those notes in a clear and empathic way, and I think this tool will make it easier and more efficient to provide those interpretations, which are so important to our patients.”
The purpose isn’t for the instrument to exchange the doctor’s messaging interplay with the affected person, however quite present the doctor with a draft that is both prepared or near able to ship, Pfeffer mentioned. After all, there isn’t any obligation for the doctor to make use of it.
Guided by ideas of the RAISE Well being Initiative, which focuses on the event and implementation of AI applied sciences at Stanford Drugs with duty and security on the forefront, and the FURM (truthful, helpful, dependable fashions) evaluation, Bhasin and his groups evaluated a number of fashions to search out one of the best match for Stanford Well being Care and to make sure the instrument didn’t introduce unintended biases or kinks in scientific workflows.
The staff acquired optimistic anecdotal suggestions in the course of the preliminary introduction of the software program.
“We’ve gotten great responses from physicians so far,” Bhasin mentioned. “Our physicians have shared that they appreciate the drafts’ concise and accurate nature, that they’re personalized for the patients, and that the messages are reassuring when communicating normal results.”
A lift for major care and past
For now, major care physicians throughout Stanford Well being Care are benefiting from the instrument; the plan is to roll it out to specialists this yr. The staff additionally plans to measure the success of the instrument, analyzing knowledge that reveals time saved and the way usually the AI-generated drafts are used, amongst different measurements.
“We are thrilled to have the opportunity to provide these technologies to our physicians and study them and learn from them,” Pfeffer mentioned. “It’s still fairly new, and it’s going to get better and more valuable as we develop it and incorporate feedback from our physicians.”
Offered by
Stanford College Medical Heart
Quotation:
AI instrument assists medical doctors in sharing lab outcomes (2025, January 11)
retrieved 11 January 2025
from https://medicalxpress.com/information/2025-01-ai-tool-doctors-lab-results.html
This doc is topic to copyright. Aside from any truthful dealing for the aim of personal examine or analysis, no
half could also be reproduced with out the written permission. The content material is offered for info functions solely.
