Transforming Clinical Data Abstraction and RWD Generation with Clinical AI
About this webinar
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.
Who should attend
This webinar is tailored for clinical research professionals, healthcare data scientists, clinical trial coordinators and informatics experts seeking to enhance workflows with cutting-edge AI technologies.
What you will learn
- How clinical AI accelerates data abstraction and patient chart review with unparalleled accuracy and efficiency
- How clinical AI solutions can extract actionable insights from unstructured healthcare data, enabling scalable RWD generation
- Real-world applications of clinical AI for chart review
- Emerging AI trends that will reshape clinical workflows and data abstraction in the coming years
Featured Speakers
Kristin Maloney, MS, BSN, RN, OCN
Kristin Maloney, MS, BSN, RN, OCN is a Certified Oncology Nurse and Clinical Informaticist with over 15 years of experience spanning bedside nursing, clinical research and clinical informatics. Currently serving as the Clinical Informatics Lead at Mendel AI, Kristin applies deep oncology expertise and healthcare informatics knowledge to advance clinical AI solutions. Kristin’s work focuses on improving data quality, ontologies and AI models while driving real-world impact through innovative tools that enhance patient care and clinical research.
Kristin holds a Master of Science in Healthcare Informatics and is recognized for her expertise in clinical informatics, oncology practice and product development. Passionate about leveraging data and technology to drive meaningful improvements in patient care, Kristin brings a unique perspective to the intersection of clinical practice and AI innovation.
David Chou
David Chou is a seasoned healthcare IT leader with over two decades of experience driving innovation and implementing cutting-edge solutions. His extensive leadership background includes serving as Chief Information Officer at Harris Health System, Cleveland Clinic in Abu Dhabi and Shanghai, Children’s Mercy Hospital, University of Mississippi Medical Center, Legacy Community Health, and AHMC Healthcare.
David currently serves as a virtual CIO and strategic advisor to community hospitals and healthcare organizations across the United States, utilizing his expertise to enhance technology strategies and drive improvements in healthcare delivery.
Partner for this event
Mendel AI
Mendel AI supercharges clinical data workflows by coupling large language models with a proprietary clinical hypergraph, delivering scalable clinical reasoning without hallucinations and ensuring 100% explainability. Headquartered in San Jose, California, Mendel is backed by blue-chip investors, including Oak HC/FT and DCM.