Proven, scalable platform to unify healthcare data

Through context driven record-linking and purpose built machine-learning algorithms, Compile’s platform unifies multiple healthcare datasets into simple-to-use data formats and applications

Purpose-built platform for healthcare analytics

A scalable platform to ingest, cleanse and link healthcare datasets; eliminate silos across data assets

Data sources

Use Compile’s pre-built data assets or leverage Compile’s platform with your own data assets

Affiliations

Compile’s best-in-class affiliations are built by triangulating data from multiple data sources through intelligent scoring

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Provider 360°

Leverage Compile’s best-in-class affiliations to map the relationships between HCPs and healthcare organizations (HCOs)

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Smart data

Compile’s smart data layer transforms messy and disparate datasets into an intuitive graph of healthcare providers and all their activities

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Applications

Compile’s smart data layer transforms messy and disparate datasets into an intuitive graph of healthcare providers and all their activities

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Features

Data normalization

With industry leading ML/NLP technologies, Compile’s platform is designed to ingest healthcare specific data assets – patient-level data (PLD), sales data, Medicare files, provider databases and more

Machine-learning

Commercial healthcare analytics have very specific requirements from data. From market sizing and HCP segmentation to influence mapping and rare-disease identification, Compile’s platform has custom-built ML algorithms that have been trained on historical data.

Record-linking

Disparate records across various datasets are linked using proprietary techniques. Compile ID is the unique key that links all datasets

Human in the loop

No system is perfect. Our team of analysts review data that is flagged for anomalies. Their corrections are then fed back into system to refine the machine learning models and algorithms.

Healthcare graph

Compile’s data structure is hybrid datastore which combines the benefits of of graph and relational databases. Entity to entity relationships are at the canter of healthcare, and the graph-based data structure maps entities and their activities to a graph model.