Case Study

Immuno-Oncology | Use Case | Unlocking RWE about Immune Checkpoint Inhibitor Treatment in Diverse Cancer Types

Real-world evidence (RWE) is becoming a valuable addition to randomized controlled clinical trials (RCT) to better understand the mechanisms and outcomes of cancer treatments. However, most real-world data (RWD) is locked in a non-uniform patient reporting system by hospitals and healthcare professionals.

Download our use case in immuno-oncology by completing the form and discover how artificial intelligence can help unlock real-world evidence in immunotherapy.

Oncology

In this Case Study you’ll learn:

In this article you’ll learn:

Immune checkpoint inhibitors are indicated for a wide range of cancer types. To better understand the clinical performance and outcomes of these therapies, it is important to determine the distribution of indications for which a given treatment is prescribed. However, to answer what this distribution is in a real-life setting, there is a need to gain insights from unstructured data such as Electronic Health Records (EHRs)

The study aimed to gain granular insights into the use of immune checkpoint inhibitors in clinical practice:

-       To identify and quantify the patient population treated with immune checkpoint inhibitors

-       To quantify the patient population according to predefined indications for the selected immune checkpoint inhibitors

-       To determine the patient population receiving the drug as first-line or second-line treatment

Complete the form above to download the use case.

ℹ️ Click HERE to visit our Immuno-Oncology Insights overview for more information on the LynxCare datasets within our European hospital network.

Immune checkpoint inhibitors are indicated for a wide range of cancer types. To better understand the clinical performance and outcomes of these therapies, it is important to determine the distribution of indications for which a given treatment is prescribed. However, to answer what this distribution is in a real-life setting, there is a need to gain insights from unstructured data such as Electronic Health Records (EHRs)

The study aimed to gain granular insights into the use of immune checkpoint inhibitors in clinical practice:

-       To identify and quantify the patient population treated with immune checkpoint inhibitors

-       To quantify the patient population according to predefined indications for the selected immune checkpoint inhibitors

-       To determine the patient population receiving the drug as first-line or second-line treatment

Complete the form above to download the use case.

ℹ️ Click HERE to visit our Immuno-Oncology Insights overview for more information on the LynxCare datasets within our European hospital network.

Case Study

Immuno-Oncology | Use Case | Unlocking RWE about Immune Checkpoint Inhibitor Treatment in Diverse Cancer Types

Real-world evidence (RWE) is becoming a valuable addition to randomized controlled clinical trials (RCT) to better understand the mechanisms and outcomes of cancer treatments. However, most real-world data (RWD) is locked in a non-uniform patient reporting system by hospitals and healthcare professionals.

Download our use case in immuno-oncology by completing the form and discover how artificial intelligence can help unlock real-world evidence in immunotherapy.

DOWNLOAD
DOWNLOAD
Talk to an Expert

RWE is becoming a valuable addition to randomized controlled clinical trials to better understand the mechanisms and outcomes of cancer treatments. However, most RWD is locked in a non-uniform patient reporting system by hospitals and healthcare professionals. Download our use case in immuno-oncology by completing the form and read how artificial intelligence can help unlock real-world evidence in immunotherapy.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.