Late last week, Amazon and 3M, two of the world’s most prominent companies, announced a bold partnership aimed at solving one of the most important challenges for healthcare providers: clinical documentation.
Through this partnership, 3M Health Information Systems (HIS) will partner with Amazon Web Services (AWS) to develop the M*Modal Ambient Intelligence service. The company describes it as a tool that “uses conversational artificial intelligence (AI) and ambient intelligence to automate clinical documents,” thereby turning documents into “a byproduct of a patient’s visit and separate to physicians.” It’s not a tedious task.”
AWS contributes substantial expertise and resources to this partnership, particularly through its Amazon Bedrock, Amazon Comprehend Medical, and Amazon Transcribe Medical platforms. Bedrock is Amazon’s novel approach to “building and scaling generative AI applications using foundational models (FMs),” allowing users to customize his FMs with their own data and create customized applications. Provides the ability to expand. Examples of categories of these applications include chatbots, search tools, image generation services, text summarization tools, etc. In fact, Bedrock is Amazon’s role in the growing landscape of technology companies, most recently by Microsoft and Google, announcing their own generative AI tools.
Additionally, Amazon has extensive experience in the field of medical transcription and clinical documentation through its Transcribe Medical and Comprehend Medical platforms. The former is an “Automatic Speech Recognition (ASR) service that makes it easy to add medical speech-to-text capabilities. [voice enabled applications]the latter is a natural language processing service that uses machine learning to “extract medical information from unstructured medical text such as physician notes, clinical trial reports, and radiology reports.”
Combining these various services and platforms has the potential to revolutionize the clinical documentation processes that exist today.
In fact, AWS and 3M aren’t the first to try to solve this problem. Just last month, Microsoft announced it would use its Chat-GPT expertise to create a more dynamic clinical documentation process via Dragon, one of his leading clinical dictation tools in the industry. .
The challenge of clinical documentation is a very serious aspect of our current healthcare system. In his 2016 study published in Annals of Internal Medicine, It was found that “for every hour that physicians give patients direct clinical time, nearly two additional hours are spent on EHRs and desk work during the clinic day.” This means that doctors are dedicated to most things. double We have time to document patient visits instead of interacting with them themselves, fostering an incredibly inefficient delivery system. We are aware of the significant shortage of doctors nationally and globally, the difficulty of obtaining timely doctor appointments for millions of people, and the aging population. Given that, this inefficiency needs to be resolved.
That’s exactly why tech companies want to draw attention to this devastating problem and create viable solutions.
According to the press release, “Together with AWS, 3M HIS advances conversational AI platform…[to] It helps provide a trusted and supportive ML-based clinical documentation and virtual assistant solution that integrates directly into workflows and ensures physicians have control over information entered into patient health records. ”
Tehsin Syed, General Manager of Health AI at AWS, explains: 3M uses ML and generative AI to extend access to affordable, consistent, secure, and accurate note-taking and documentation to clinical staff. ”
Arguably, these companies have a lot of work to do to truly understand the power of generative AI. As with all technology, it requires careful development. Especially since it contains sensitive and private patient health information. However, if developed in an ethical, sound and safe manner, this could revolutionize the healthcare industry.
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