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Existing EMR Data

Decades of rich but unprocessed data

Electronic medical records (EMRs) contain a tremendous amount of information about human health, but is largely unstructured. The amount of data from Mayo Clinic alone - 500M+ clinical notes, 4B+ images, 1B+ lab results and more - pose a challenge and an opportunity

Data Creation

Pathology digitization and molecular sequencing

We digitize tens of millions of archived pathology slides using high-throughput state-of-the-art scanning capabilities in partnership with Pramana, and we work with sequencing partners to provide clinical-grade whole exome and transcriptome sequencing for patients seen at our partner centers. These data creation processes enrich the real world data currently existing in EMRs.

Deidentification

Best-in-class algorithms and ‘Data Under Glass’

Patient and data privacy are at the core of everything we and our partners do. Our algorithms for deidentification, including for challenging data modalities such as unstructured (free-text) data, have been certified as best-in-class. Our “data under glass” approach ensures that the data, even after deidentification, always remains at the center.

Augmented Curation · Harmonization

Making healthcare data computable

The majority of EMR data exists in semi-structured or completely unstructured forms. A critical part of enabling artificial intelligence applications downstream is transforming this data into a structured labeled data. We leverage state-of-the-art technology coupled with deep biomedical expertise to transform semi-structured data (harmonization) and unstructured data (augmented curation), resulting in the largest labeled dataset in healthcare.

Neural Networks · Triangulation

Creating AI-enabled solutions for healthcare

We use the labeled data on its own to train state-of-the-art neural networks that enable next-generation diagnostics and precision medicine. We also triangulate the labeled data with other datasets such as public literature, molecular and real world data to create solutions and support scientific discovery.