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Drive data-driven decisions with cohort analytics

April 1, 2025/1 min read

Create reusable cohorts

Spend less time building and executing patient cohorts and clinical phenotypes through reusable SQL pipelines. With the Dataiku Solution for RWD, easily scale these processes by leveraging your Databricks or Snowflake connections to run high volume virtualized SQL Pipelines.

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Create Reusable Cohorts

Centralize creation of interoperable cohorts

Search, query and extract from patient data transformed to the OMOP CDM (code sets, terminologies, etc.) and build robust cohorts that are interoperable across health systems and studies.

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Centralize Creation of Interoperable Cohorts

Analyze comprehensive patient insights

Easily generate rich cohort insights dashboards to analyze prevalence, demographics, and clinical characteristics. This unified view of patient populations will help inform data-driven decisions. Delve deeper into common clinical insights such as condition and drug group prevalences, as well as visit occurrences for patients that meet the criteria for a given cohort.

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Analyze Comprehensive Patient Insights

Maximize rwd cross impact and reuse

Centralize cohort discovery for better collaboration across teams and reusability of outcomes while maintaining interoperability across health systems. Leverage the resulting datasets to fuel further advanced analytics for epidemiology or biomedical research studies such as clinical feasibility, patient prevalence for market access and launch, population health analytics, and real-world evidence in clinical trials.

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Maximize RWD Cross Impact and Reuse

From rwd cohort discovery to real world evidence

Connect insights with optimized trial planning by combining this solution with the Dataiku Solution for Clinical Site Intelligence. Leverage real-world patient data to identify ideal study sites that align with your specific cohort criteria. Match discovered patient populations with historical site performance to predict enrollment rates and optimize protocol design. Enhance trial diversity by analyzing population demographics alongside community data and Social Determinants of Health.

Combine dataiku solutions for clinical excellence

From RWD Cohort Discovery to Real World Evidence

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