# Real-World Data Insights

Harness knowledge from clinical databases using AI.

Fraunhofer IML

Workloads

Data Science  
 Generative AI / LLMs

Industries

Healthcare and Life Sciences

Business Goal

Return on Investment

Products

NVIDIA AI Enterprise

## Overview

## AI tools to mine real-world clinical data

In the healthcare industry, gathering insights from real-world data is becoming essential for improving clinical trial processes and overall system efficiency. AI tools can enhance this by evaluating large volumes of available data on clinical trials. Examples of applications include screening of clinical trial participants and identifying eligible individuals faster. It can also integrate diverse data types for comprehensive analysis, enabling patient-trial matching. AI-driven cohort audit analysis helps ensure the integrity of study group compositions, while [generative AI](https://www.nvidia.com/en-us/glossary/generative-ai.md) can support second opinions by providing expert-level evaluations based on vast medical knowledge. Additionally, AI enhances disease and symptom search functionalities, supported pandemic response efforts, and helps maintain financial integrity by optimizing revenue cycle management.

Quick Links

[PDF Extraction Blueprint](https://build.nvidia.com/nvidia/multimodal-pdf-data-extraction-for-enterprise-rag)

[NVIDIA Solutions for Digital Health](https://www.nvidia.com/en-us/clara/digital-health.md)

[Learn More About NVIDIA in Healthcare and Life Sciences](https://www.nvidia.com/en-us/industries/healthcare-life-sciences.md)

## Build This Use Case

Learn more about NVIDIA Isaac Sim for robot learning today.

[Try NIMs on API Catalog](https://build.nvidia.com/explore/healthcare)
[Contact Us](https://www.nvidia.com/en-us/industries/healthcare/contact-sales.md)

## More Use Cases

### Contact Center

[Learn More](https://www.nvidia.com/en-us/use-cases/ai-agents-for-healthcare.md)

### Clinical Documentation

[Learn More](https://www.nvidia.com/en-us/use-cases/digital-health-clinical-documentation.md)