3M Health Information Systems announced a collaboration with Amazon Web Services to accelerate innovation and advancement of M*Modal ambient intelligence machine learning and generative AI services, including Amazon Bedrock, Amazon Comprehend Medical, and Amazon Transcribe Medical.
why it matters
Compatible with more than 250 electronic medical records, the company says more than 300,000 clinicians use M*Modal to create ambient clinical documents compatible with real-time speech recognition. increase.
Incorporating AI technology into the clinical workflow automates structured notes in the EHR, allowing clinicians to focus more on direct patient care. Amazon Bedrock’s generative AI service will further extend and accelerate conversational AI, increasing end-user flexibility and ease of use, he said.
“3M’s Ambient capabilities allow physicians to focus on what they do best: drugs,” added Garri Garrison, president of 3M HIS.
The security and reliability of AWS will also help 3M accelerate delivery of high-quality clinical documentation, Garrison said.
Using contextual understanding, 3M Fluency Align uses patient-physician conversations and available EHR data to create quality-assured notes directly in patient records, ready for physician review and approval. tidy up.
Dr. Shankar Sridharan, Consultant Pediatric Cardiologist and Chief Clinical Information Officer of Great Ormond Street, said: Hospital, UK, Announcement.
the bigger trend
Contributing to physician and nurse burnout for years, the American Society of Medical Informatics last year launched a multi-stakeholder effort to develop a solution to reduce the documentation burden for U.S. clinicians. Researched and explored strategies.
The goal is to reduce the documentation burden for U.S. clinicians to 25% of its current state over the next five years. This is what AI promises.
The documentation burden that causes textual duplication to be so prevalent has also led to adaptive behavior by clinical note takers who continually make copies of old notes and add them to patient records. was found in one study of note duplication.
Researchers at the University of Pennsylvania Perelman School of Medicine said when they published their report last year, “The note-taking paradigm for documentation should be further investigated as a major source of duplication and variance, and alternative paradigms should be evaluated.” It should be done,” he said.
on record
“Our overarching goal is to create better, more sustainable solutions and remain a trusted partner our clients can rely on to reduce administrative tasks and prioritize patient engagement.
“Using AWS ML services, 3M will be able to integrate approved information from doctor-patient conversations directly into this workflow, putting the focus on the patient,” said Tehsin Syed, AWS Health AI General Manager. added Mr.
Andrea Fox is senior editor for Healthcare IT News.
Email: afox@himss.org
Healthcare IT News is a publication of HIMSS Media.
