Teams today spend a lot of time getting data from right sources, in right format to the right place vs. focusing on value-add via insights & analysis. KenSci’s AI Platform for Digital Health is designed with scalable, enterprise-ready data architecture that automates the ingestion, data preparation, processing and transformation of data into BI and AI ready formats within your Azure cloud. Extensible, flexible and integrated with the latest analytics technologies, your data pipeline on KenSci’s AI platform is managed and ready for BI and AI use-cases.
Scalable healthcare specific data architecture that ingests, preps and processes real-time streaming and batch data from custom and public data sources.
Best in class Microsoft approved managed analytics infrastructure hosted on your Azure cloud with automated deployment in less than 2 weeks. Efficiently use Azure services to maximize your Azure value.
Quick repeatable data ingestion from EMR, claims, device and other public and custom data sources into Azure based data lake. Easy data migration from on-prem or cloud assets.
Monitor data quality across various dimensions such as completeness, semantic and syntactic correctness, morphological accuracy and other data quality factors.
Unlock data into industry standard schema and data formats with pre-built connectors to FHIR, Common Data Model, Synapse, Databricks etc. for downstream analytics applications.
Organizations trust KenSci to help them do more with their healthcare data
Our experts can guide you through every leg of the AI journey, and help deliver tangible ROI. Talk to us today
Research, blogs, and other whitepapers on AI Led healthcare transformation