Unify healthcare data for sharper analytics and an AI-ready future
Fragmented data, rising cost of care, and AI adoption challenges are real, slowing down healthcare innovation. Built on the Lakehouse framework, KANINI’s Common Data Framework powers leading common data models such as TUVA and OMOP, to break down silos, standardize healthcare data, and ensure compliance. This translates to trusted insights and meaningful decisions for better care outcomes.
Our Common Data Framework is designed to serve every stakeholder in healthcare – from providers and payers to health tech innovators. It enables cross-payer/provider compatibility and delivers business-ready insights to power clinical decisions, population health strategies, value-based care initiatives, financial risk management, and more.
Supports TUVA, FHIR, OMOP, and all other well-established healthcare frameworks.
The flexible architecture enables you to adopt one or multiple common data models based on your compliance, operational, and analytics needs.
The framework creates a single, trusted data foundation to meet the insight needs of every stakeholder across the healthcare ecosystem.
Less than half of AI initiatives successfully make it from pilot to production, largely due to weak, non-scalable data foundations. To capitalize on revolutionary technologies like GenAI, healthcare organizations need a strong, scalable, and interoperable data ecosystem.
Our Common Data Framework solves this by supporting the ingestion and transformation of massive, heterogeneous healthcare data into industry-aligned, actionable formats. It breaks down data silos, powers advanced analytics, and creates real impact with meaningful insights across cloud – whether you are on AWS, Azure, or GCP.
From Ingestion to Insights – Lakehouse architecture with the Medallion approach:
Break down data silos, power advanced analytics, and create real impact with meaningful insights across cloud – whether you are on AWS, Azure, or GCP.
Enabled a leading health tech company to manage TiC (Transparency in Coverage) data mandates.
Empowered faster, data-driven care delivery for a leading provider of in-home services.
Delivered scalable analytics across claims, financial, and enrollment data for a leading payer organization.
Our framework is built to ensure end-to-end data governance, enabling high data quality and robust data security controls.
Absolutely.
Yes, interoperability is built in by design.
KANINI’s Common Data Framework is designed for flexibility.
We bring deep healthcare industry knowledge and technical strength through our industry partnerships with Microsoft, Databricks, Snowflake, and other leading technology platforms.
The common data framework is designed for speed and scalability.
Yes, it’s a hybrid and customizable framework.
Automation, Cloud, AI-driven Insights – more than “Dreams of the Future” these have become the “Demands of the Present”, to set the stage for a business to be truly digital.
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