Sam Brusco, Associate Editor04.20.23
3M Health Information Services (HIS) began collaborating with Amazon Web Services (AWS) to boost innovation and advancement of 3M M*Modal ambient intelligent.
3M will use AWS machine learning (ML) and generative artificial intelligence (AI) services—Amazon Bedrock, Amazon Comprehend Medical, and Amazon Transcribe Medical—to expedite, refine, and scale delivery of 3M’s ambient clinical documentation and virtual assistant solutions.
In working with AWS, 3M HIS aims to advance its conversational AI platform. The platform supports 3M M*Modal Fluency Direct for real-time speech recognition, which is compatible with over 250 electronic health records (EHRs) and 3M M*Modal Fluency Align for ambient clinical documentation. Working together, 3M aims to delivery responsible, supportive ML-based clinical documentation and virtual assistant solutions.
Pairing 3M cloud-based clinical intelligence with AWS ML services will further help permit 3M ambient clinical documentation solutions to unobtrusively support the complex task of documenting the patient interaction, in compliance with applicable laws and guidelines.
This collaboration builds on 3M HIS' early success in bringing conversational AI and ambient intelligence directly into clinical documentation workflows through 3M Fluency Align. Working with AWS will make it easier for clinicians to automate accurate, complete, and structured notes in the EHR a scalable reality. Using contextual understanding, 3M Fluency Align takes the patient-physician conversation and available EHR data to create a quality-reviewed note directly in the patient record, ready for physician review and sign off. Using Amazon Bedrock's generative AI service, 3M will further scale and accelerate its innovation in conversational AI to deliver even greater flexibility, choice and usability to physician end users.
"We are committed to our mission of creating time to care," 3M HIS president Garri Garrison told the press. "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. 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."
"We believe that 'language is the highest form of intelligence' and that the smart use of AI in health care can super-charge our clinical ability. 3M M*Modal is a partner we rely on. 3M's ambient capability allows our doctors to focus on what they do best—'the Medicine.' When built into clinical workflows, this allows us to focus on direct patient care and makes health care a richer experience," said Dr Shankar Sridharan, consultant pediatric cardiologist and CCIO, Great Ormond Street Hospital, U.K.
"Conversations between health care 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, 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. AWS looks forward to further supporting 3M as they scale access to affordable, consistent, secure, and accurate note-taking and documentation for clinical staff though ML and generative AI."
3M will use AWS machine learning (ML) and generative artificial intelligence (AI) services—Amazon Bedrock, Amazon Comprehend Medical, and Amazon Transcribe Medical—to expedite, refine, and scale delivery of 3M’s ambient clinical documentation and virtual assistant solutions.
In working with AWS, 3M HIS aims to advance its conversational AI platform. The platform supports 3M M*Modal Fluency Direct for real-time speech recognition, which is compatible with over 250 electronic health records (EHRs) and 3M M*Modal Fluency Align for ambient clinical documentation. Working together, 3M aims to delivery responsible, supportive ML-based clinical documentation and virtual assistant solutions.
Pairing 3M cloud-based clinical intelligence with AWS ML services will further help permit 3M ambient clinical documentation solutions to unobtrusively support the complex task of documenting the patient interaction, in compliance with applicable laws and guidelines.
This collaboration builds on 3M HIS' early success in bringing conversational AI and ambient intelligence directly into clinical documentation workflows through 3M Fluency Align. Working with AWS will make it easier for clinicians to automate accurate, complete, and structured notes in the EHR a scalable reality. Using contextual understanding, 3M Fluency Align takes the patient-physician conversation and available EHR data to create a quality-reviewed note directly in the patient record, ready for physician review and sign off. Using Amazon Bedrock's generative AI service, 3M will further scale and accelerate its innovation in conversational AI to deliver even greater flexibility, choice and usability to physician end users.
"We are committed to our mission of creating time to care," 3M HIS president Garri Garrison told the press. "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. 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."
"We believe that 'language is the highest form of intelligence' and that the smart use of AI in health care can super-charge our clinical ability. 3M M*Modal is a partner we rely on. 3M's ambient capability allows our doctors to focus on what they do best—'the Medicine.' When built into clinical workflows, this allows us to focus on direct patient care and makes health care a richer experience," said Dr Shankar Sridharan, consultant pediatric cardiologist and CCIO, Great Ormond Street Hospital, U.K.
"Conversations between health care 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, 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. AWS looks forward to further supporting 3M as they scale access to affordable, consistent, secure, and accurate note-taking and documentation for clinical staff though ML and generative AI."