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ClinHUB

AI-driven aggregation and harmonization of clinical data across multiple sources with automated SDTM mapping and cloud deployment.

Solution by ThoughtSphere
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Overview

ClinHUB is a cloud-based clinical data aggregation and curation platform developed by ThoughtSphere. It is designed for life sciences organizations that need to consolidate data from multiple clinical and non-clinical source systems, reducing reliance on manual data aggregation processes. The platform targets teams looking to ingest, harmonize, map, and archive clinical data with the support of AI-driven automation, and is positioned to deliver aggregated, synchronized data across sources in under a week.

ClinHUB is source system agnostic, supporting both structured and unstructured data ingestion through a NoSQL database architecture that eliminates upfront ETL effort by auto-ingesting data in its native, metadata-rich format.

Cloud Deployment

  • Hosted on the cloud to provide real-time, multi-tenant access to any clinical and non-clinical system.
  • Scales dynamically and securely to data needs using Kubernetes.
  • Reduces capital investment by leveraging cloud infrastructure.

Data Aggregation and Harmonization

  • NoSQL database architecture auto-ingests data in its native, metadata-rich format without requiring upfront ETL work.
  • Includes 30+ pre-built APIs and connectors for ingesting structured and unstructured data.
  • Uses Agentic AI and a patented mapping model to automap collated source data to any target model.

AI-Driven Data Mapping

  • Capable of mapping up to 90% of SDTM variables out-of-the-box.
  • Provides a mapping workbench with drag-and-drop functionality and an SDK for reviewing auto-mapped assignments and creating custom derivations and data extensions.
  • Supports collaboration between users and subject matter experts to streamline the mapping process.
  • Includes mapping review and approval workflows to manage the end-to-end mapping process.

Data Archival

  • Stores data from both prior and active studies in a single location.
  • Supports quick retrieval of archived data for reporting purposes.
  • Archived data can be leveraged to support AI and machine learning model development for deployment on active studies.

ClinHUB is part of ThoughtSphere's broader platform, which also covers study oversight and analytics, risk-based quality management, data quality management, medical monitoring, biostatistics and programming, safety case transformation, and site payments and contracting. The platform is deployed on the cloud and is built to scale with organizational data requirements.

Meta

Domain
Clinical & Regulatory Data Standards
Subdomain
CDISC & Clinical Data Standards Management
Software type(s)
Integration / Middleware
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechCRO
Development stage(s)
ClinicalPost-Market & RWE
Target user(s)
Research ScientistBioinformatician / Computational ScientistIT / Systems Admin / Data Engineer
Compliance standard(s)
21 CFR Part 11
Tag(s)
Uses AI