What You Should Know:
– AI has proven effective in enabling health plans to hyper-personalize communications, engage consumers, and enhance outcomes, including CAHPS and star ratings. However, many large healthcare organizations struggle with unstructured and complex “big data,” resulting in patients being disconnected from personalized healthcare.
– RadiantGraph now securely integrates with Google Cloud Platform (GCP), Amazon Web Services (AWS), Databricks, and Snowflake, offering powerful personalization capabilities for member data within hours, rather than months or years.
RadiantGraph Revolutionizes Healthcare with AI-Driven Personalization and Cloud Integration
RadiantGraph is transforming healthcare by enabling organizations to harness AI and machine learning for enhanced consumer engagement. Personalization not only boosts consumer adoption and utilization of health benefits but also enhances clinical engagement and reduces long-term healthcare costs. According to recent statistics, 80% of employees would increase their usage of health benefits if the experience were tailored to their individual needs.
The platform recently launched its integration capabilities with major cloud providers, including Amazon Web Services (AWS), Google Cloud Platform, Snowflake, and Databricks. These integrations empower healthcare organizations to seamlessly integrate their data with AI-driven personalization in a matter of hours, rather than months. RadiantGraph simplifies the complex data from operational systems, providers, and other sources, delivering personalized communication that improves member engagement and clinical outcomes.
Healthcare leaders face significant barriers in adopting AI, largely due to challenges with data complexity. While executives are eager to implement AI, unstructured data from siloed systems hampers their ability to integrate AI systems with member data. This disconnect leaves members without the personalized healthcare necessary for improved clinical outcomes. The absence of integration often leads to delayed care, particularly for patients with chronic illnesses. RadiantGraph addresses this challenge with its built-in health data engine, which efficiently manages and translates vast amounts of data across healthcare systems.
RadiantGraph’s platform offers healthcare organizations scalability and efficiency, enabling them to meet member needs regardless of population size or data volume. Cloud-based organizations can now connect their systems in minutes, launching AI-driven personalization campaigns for new members in just weeks. Previously, healthcare companies would spend millions and take years to deploy such capabilities, often requiring large teams to manage continuous data flows. The lack of effective data integration also impacts key business outcomes, including member enrollment, retention, and the adoption of preventive care solutions.
RadiantGraph’s platform is both secure and scalable, allowing healthcare providers to engage patients through personalized AI-driven solutions. The platform is SOC 2 Type 2 and HITRUST certified, and HIPAA compliant, ensuring the highest standards of data protection and privacy in healthcare.
“AI is already showing tremendous potential in unlocking consumer engagement. The limitation isn’t model performance anymore. Instead, the inability of large, established, healthcare organizations to deploy AI and personalization capabilities with legacy data systems at scale, is the challenge,” said Anmol Madan, Founder and CEO of RadiantGraph. “Based on market feedback, we incorporated secure cloud integrations and a powerful built-in health data engine within RadiantGraph. These enhancements to our platform unleash the creativity of marketers, engagement leaders, and product managers in healthcare.”
