Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Ad image

RadiantGraph introduces cloud integrations to drive personalization and consumer engagement with health plans.

MONews
3 Min Read

RadiantGraph, a company that uses machine learning and AI to drive consumer engagement in healthcare, has launched the following integrations: Amazon Web Service (AWS), Google Cloud Platform, Snowflake, and Databricks.

The goal is to enable organizations moving to cloud platforms to integrate their data with AI-driven personalization in a short period of time.

RadiantGraph helps health plans unpack and decode complex data from operational systems, providers, and other sources to deliver personalized member communications that improve engagement and care outcomes.

According to the company, lack of integration can lead to delays in patients dealing with health issues and receiving appropriate treatment.

“AI is already showing tremendous potential in driving consumer engagement,” Anmol Madan, founder and CEO of RadiantGraph, said in a statement.

“The limitation is no longer model performance. Instead, the challenge is that large, established healthcare organizations cannot deploy AI and personalization capabilities at scale using legacy data systems. Based on market feedback, we are building a secure cloud integration and the powerful health data engine built into RadiantGraph, these enhancements to our platform unleash the creativity of marketers, engagement leaders, and product managers in healthcare.”

bigger trend

In July GE HealthCare has partnered to use Amazon Web Services (AWS) Healthcare and genAI services to build AI-enabled workflows that increase the accuracy of diagnostic tests, optimize healthcare operations, and upgrade equitable care access and outcomes.

In June AWS announced a collaboration with EvolutionaryScale to enable scientists and researchers to advance drug discovery by accessing the company’s ESM3 language model through AWS, allowing the creation of new proteins.

In July Fitterfly has teamed up with Google Cloud to launch an AI feature called Fitterfly Klik. The partnership will allow people with diabetes to track their meals using computer vision powered by Gemini 1.5 Flash on Google Cloud’s Vertex AI platform.

In April Google Cloud and Bayer have partnered to develop AI applications to reduce radiologist fatigue and increase diagnostic efficiency. Bayer expands its innovation platform with Google Cloud technology and uses generative AI tools.

Share This Article