Transforming Clinical Data Abstraction and RWD Generation with Clinical AI

This webinar will focus on how clinical AI is revolutionizing data abstraction and patient chart review processes with next-generation AI solutions.

Discover how it enhances accuracy, efficiency and scalability in clinical data abstraction for a variety of use cases such as generating real-world data (RWD) and clinical trial pre-screening. The expert panelists will present real-world use cases and strategies for leveraging AI to unlock valuable insights from complex healthcare data.

In this webinar, they will dive into the role of AI as a clinical data abstraction co-pilot for patient chart review with the latest in clinical AI technology:

The Role of the AI Co-Pilot in Clinical Data Abstraction

How AI simplifies and accelerates data abstraction from patient records and how embedding generative AI solutions with clinical reasoning differs from other AI solutions available today
Improved accuracy, reduced manual effort and faster turnaround times

Enhancing Patient Chart Review with NLP

Using next-generation clinical AI technology to extract insights from unstructured clinical data
Streamlining processes for chart review in clinical trials, billing and quality audits

Real-World Use Cases and Results

Examples of utilizing clinical AI for chart review in organizations
Key metrics: increased efficiency, reduced error rates and faster decision-making

Future Outlook: AI and Clinical Workflows

Emerging trends in AI applications for clinical data and patient care
Predictions for how AI will completely transform chart review and data abstraction in the next decade

Register now for this transformative webinar to explore how clinical AI is revolutionizing data abstraction and patient chart review.

Keywords: Clinical Research, Real-World Data, Real-World Evidence, Clinical Data, HEOR, Clinical Data Management, RWE, Health Economics Outcomes Research, Data Science, Commercialization/HEOR/Market Access, RWD

Others Details

Life Sciences,Clinical Trials,Commercialization & HEOR