Schema for Multi-Modal Data Storage in Biomedical R&D

Problem

Fragmented Data Limits Integration and Insights

Biomedical data is vast, complex, and multidimensional, yet inconsistencies in data formats and terminologies hinder seamless integration, sharing, and analysis.

Diverse data sources lack uniformity, making aggregation and analysis a challenge.

Difficulty in integrating clinical, omics, and imaging data for comprehensive insights.

Inability to combine longitudinal patient details to track molecular impacts effectively.

Solution

Data Model with a Hierarchial Schema for Multi-dimensional Biomedical Data

Our proprietary data model enables seamless exploration of clinical, imaging, multi-omics, and assay data. Organizes complex, multi-dimensional biomedical data into a streamlined, user-friendly structure, enabling effortless exploration and analysis across multiple levels.

1200 attributes across 23 multi-modal biomedical entities

How This Works?

Unified Integration of Diverse Data Types

Built on existing frameworks, the model integrates imaging, clinical, omics, and assay data into a patient-centered single layer, providing a comprehensive view for streamlined and holistic data analysis. Data model with a hierarchial schema for multi-dimensional biomedical data.

Longitudinal Patient Data Made Accessible

A hierarchial data schema organizes longitudinal clinical data into a unified format. This simplifies analysis across time points, removing the complexity of nested structures for a smoother research experience.

Multi-modal Data Model Encompassing OMOP and Beyond

Our data model built on top of the OMOP data model incorporates nuances in the data such as associated images, healthcare details, claim details etc. in a single layer, centered around the patient or sample.

Adherence to security standards such as HIPAA

Sensitive or regulated clinical data is de-identified and standardized enabling the secure sharing and use of patient data while mitigating risks of re-identification. Our data model is designed to align with stringent security standards, including HIPAA, to ensure the confidentiality and privacy of sensitive biomedical and clinical data.

Case study