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3M HIS Taps AWS Generative AI to Advance Ambient Clinical Documentation

3M will use AWS generative AI services, including Amazon Bedrock, to help refine and scale the delivery of its ambient clinical documentation solution.

3M Health Information Systems (HIS) has announced that it will use Amazon Web Services (AWS) machine learning (ML) and generative AI services to accelerate the innovation of its ambient clinical documentation and virtual assistant solutions.

3M's conversational AI platform supports cloud-based solutions like 3MTM M*Modal Fluency Direct for real-time speech recognition and 3MTM M*Modal Fluency Align for ambient clinical documentation.

Partnering with AWS ML services is set to support more accurate, complete, and structured notes in the EHR.

"We are committed to our mission of creating time to care," Garri Garrison, 3M HIS president, said in a press release. "The innovation, security, and reliability of AWS helps us accelerate the delivery of high-quality clinical documentation."

"Our overarching goal is to create a better, more sustainable solution and to continue to be a trusted partner that our clients can rely on to reduce administrative tasks and prioritize patient engagement," Garrison continued. "We look forward to working with AWS and using machine learning and generative AI services to scale our 3M M*Modal conversational and ambient AI solutions."

Pairing 3 M's conversational AI platform with AWS machine learning services enables 3M to deliver health IT solutions at scale responsibly, officials said.

"Conversations between healthcare providers and patients provide the foundation of a patient's diagnosis and treatment plan and drive the clinical documentation workflow," said Tehsin Syed, general manager of Health AI at AWS.

"Using AWS ML services, 3M will enable the integration of approved information from physician and patient conversations directly into this workflow, placing the focus on the patient," Syed added. "AWS looks forward to further supporting 3M as they scale access to affordable, consistent, secure, and accurate notetaking and documentation for clinical staff through ML and generative AI."

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