Drive Data-Driven Decisions With Cohort Analytics
The Dataiku Solution for Real-World Data (RWD) Cohort Discovery helps teams create, manage, and analyze the right patient cohorts to support the more effective clinical trials, market access, and uncover new healthcare insights to improve patient outcomes.
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.
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.
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.
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.
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.
The Total Economic Impact™️
Of Dataiku
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.
