SAS® Health Cohort Builder

PRODUCT BRIEF

SAS

Health Cohort Builder

Easily and conﬁdently build patient cohorts using trusted analytics

Key Beneﬁts

With SAS Health Cohort Builder, you can:

• Generate evidence from real-world

data (RWD) by preparing and managing

ﬁt-for-purpose data for research- and

regulatory-grade analyses – critical for

realizing value of RWD.

• Build cohorts faster as you easily access

complex data sets without extensive

programming time and skills.

• Improve data integration by enabling

seamless integration from data

management through insight generation

and sharing.

• Access up-to-date code sets and data

ontologies (provided by Wolters Kluwer

Health Language data quality solutions)

that provide consistency and reliability

for your analytical eorts.

• Speed time to insight with improved

automation and collaboration for all

teams and users.

• Increase governance and transparency

of data, processes and analytics by

conﬁdently managing permissions and

access for improved compliance.

Overview

Health care researchers and regulatory agencies need a more comprehensive view of

individuals and populations to make conﬁdent decisions about health care and policy. But

clinical trial data, electronic health records, claims data and adverse-event reports are only

snapshots of patients at random points in time. To provide real value, a holistic patient proﬁle

is necessary to achieve the greatest eect on health and wellness.

SAS Health Cohort Builder enables quick discovery and creation of patient cohorts for

population health analytics, clinical feasibility analysis, safety and ecacy, and more.

Because it is part of SAS Health, it provides robust analytical capabilities to research

previously unanswerable questions. SAS Health Cohort Builder enables you to:

• Easily integrate with RWD data lakes in the cloud.

• Accelerate time to insight through improved collaboration and reusable complex

concepts, variables and index events.

• Realize an increased return on real-world data investments through shared data

and analytics.

• Access a leading predictive analytics platform to get the most from your investment.

• More eciently conduct observational and outcomes research.

With SAS

Health Cohort Builder you can:

• Interact directly with complex data, explore target populations and visualize cohort

characteristics – all without having to know how to write code.

• Reduce or eliminate the repetitive process required to build cohorts and complete

observational studies through automation. Cut time from weeks to hours or days.

• Use a purpose-built analytical application that enables business users to access data

and analytics, either through the web or in the programming interface of your choice

(including R and Python).

• Test reproducibility to quickly conﬁrm hypotheses, eliminate model biases and examine

the accuracy of results.

The Solution

SAS Health Cohort Builder helps you eectively generate patient insights at every point of

therapeutic intervention or stage of the product life cycle. Clinical researchers can ﬁnd areas

for discovery and develop drugs and therapies more eciently to better understand product

and drug safety, eectiveness, adherence, and economic and societal value. Health services

researchers can investigate how to deliver quality care to yield improved outcomes and value

to their members and patients.

SAS oers an end-to-end approach based on an open analytics platform addressing the

diverse needs of health organizations that wish to use real-world data. The solution enables

you to:

• Manage real-world data assets. Easily integrate real-world data from internal and third-

party sources. An automated process cleanses and prepares the data and maps it to a

common data model for side-by-side comparison. You spend less time preparing data

and more time learning from it.

• Identify patient cohorts of interest.

An interactive drag-and-drop cohort builder supports complex cohort queries with

temporal relationships – no coding required. You can easily explore cohort characteristics

and the eect of inclusion/exclusion criteria on patient populations to determine study

feasibility. Cohort deﬁnitions can be saved for reuse, modiﬁed and applied to other real-

world data assets for comparisons across populations, saving time and resources.

• Generating knowledge and insights via analytics. Navigate, visualize and explore data

quickly with an intuitive web-based interface, as well as a programming interface. A

library of prebuilt analytical models infused with innovative algorithms provides access

to a wide range of analytic tools – from simple descriptive statistics to predictive analytics

and machine-learning methods.

Figure 1. Easily compare data sources relative to target cohort characteristics.

Figure 2. Interactively build and save patient cohorts.

Capabilities

Data integration and management

Brings together all real-world data sources in a single platform. Automatically maps data

to a common data model and updates cohorts and outputs as new data arrives.

Interactive cohort discovery and visualization

Identify research cohorts without coding. Complex queries can go beyond simple subsetting

to selecting criteria with multiple temporal relationships and Boolean logic.

Powerful self-service analytics

Provides a library of analytic methodologies that includes simple descriptive statistics,

predictive analytics and machine-learning methods.

Flexible deployment options

Runs on commodity hardware, in a private or public cloud infrastructure, Cloud Foundry

platform as a service (PaaS) or managed software as a service (SaaS).

Learn More

Discover your future in digital health analytics with SAS Health at sas.com/health.

For more information, please visit sas.com/health

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries.