Digital Health
Carium’s Innovative Approach to Generative AI Powered by Amazon Bedrock
Carium, a trailblazer in the virtual care management technology space, has announced its AI-focused roadmap using Amazon Bedrock to accelerate the development…
Carium, a trailblazer in the virtual care management technology space, has announced its AI-focused roadmap using Amazon Bedrock to accelerate the development of cloud-based generative AI applications.
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Carium is using generative AI with Amazon Bedrock to enhance patient care, streamline workflows & improve care delivery.
“At Carium, we believe AI has the potential to revolutionize the way healthcare is delivered but it’s crucial that we take a very calculated and measured approach,” says Scott Pradels, Chief Technology Officer at Carium. “Carium is embedding AI throughout the virtual care management platform experience, augmenting existing capabilities that help care teams proactively identify patients at-risk, empower more effective decision-making and simplify clinical and administrative workflows.”
Carium’s comprehensive roadmap for incorporating AI into its virtual care management platform includes:
Risk Stratification: Carium’s AI algorithms will analyze patient data to identify those at higher risk for specific conditions, enabling early intervention and cost reduction.
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Addressing Care Gaps: AI will identify gaps in patient care plans, ensuring timely interventions and fostering better patient engagement.
Summarizing Data: Carium will streamline the integration of patient data into Electronic Health Records (EHRs) through AI-driven data summarization, improving efficiency and reducing administrative burdens.
Amazon Bedrock will make it faster and more cost-effective for Carium to create machine learning-powered applications, compared to the time and expense required for building Foundational Models (FMs) from the beginning or managing several specialized model development projects. Using Amazon Bedrock, Carium will also privately customize FMs using our organization’s data, ensuring the utmost security and confidentiality of patient information, while enhancing the accuracy and effectiveness of our AI applications.
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