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MDaudit uses AI to improve revenue outcomes for healthcare customers

AWS Machine Learning

MDaudit provides a cloud-based billing compliance and revenue integrity software as a service (SaaS) platform to more than 70,000 healthcare providers and 1,500 healthcare facilities, ensuring healthcare customers maintain regulatory compliance and retain revenue. says Nisheet Goenka, VP of Engineering at MDaudit.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Regulations in the healthcare industry call for especially rigorous data governance.

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The Hidden Obstacles to Effective Planning. It’s Not What You Think!

Beyond Philosophy

A healthcare organization supplier that installs healthcare systems, meaning the back-end systems medical facilities use, called us to help with an installation that was going poorly. This perception massively affected what the healthcare organization saw them as. Regarding the healthcare supplier, that’s what we saw.

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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. In a healthcare setting, this would mean giving the model some data including phrases and terminology pertaining specifically to patient care.

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The Impact of Conversational AI on Healthcare Outcomes and Patient Satisfaction

JustCall

The digital revolution has left an imprint on the healthcare industry as well. with healthcare. with healthcare. Here, we talk about the impact of artificial intelligence on healthcare – more specifically, from a conversational AI angle. What is Conversational AI in Healthcare?

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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. In particular, they are routinely used to store information related to customer accounts.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning

Overall, $384 billion is projected as the cost of pharmacovigilance activities to the overall healthcare industry by 2022. The other data challenge for healthcare customers are HIPAA compliance requirements. Adewale Akinfaderin is a senior data scientist in Healthcare and Life Sciences at AWS.