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AI in Clinical Decision Support


The integration of artificial intelligence (AI) in Clinical Decision Support (CDS) systems presents a transformative opportunity to revolutionize patient care. AI-enabled CDS helps healthcare providers by providing early warnings about the onset of acute conditions like Sepsis or trauma in an ICU setting.

In this session, A leading Public Hospital in Dallas, Texas and Finarb will present a use case that has an AI-enabled risk scoring model at the heart of it to accurately predict early onset of sepsis based on biomarker levels and patient vitals in an ICU setting. We also delve into how this use case can be applied to other acute conditions like trauma, and showcase a demonstration on how the ‘Sepsis Early Detection’ application developed by Finarb presents these risk scores in real time and generates alerts for the healthcare staff.


  • Principal Data and Applied Scientist from Parkland Center for Clinical Innovation (PCCI), a research organization with expertise in advanced data science and social determinants of health
  • Researcher from a leading university working at the intersection of AI and healthcare including clinical decision support systems
  • Speaker from Finarb with expertise in practical implementation of AI solutions in clinical settings

Who should attend the webinar?

Whether you are a healthcare professional, researcher, or technology enthusiast, this webinar will help you gain practical knowledge and strategies to leverage AI effectively in healthcare settings.

Anyone interested in learning about the unique challenges and opportunities in the intersection of AI and healthcare would benefit greatly from the webinar.

Expected takeaways

  • The webinar showcases real-world applications like early sepsis detection in the ICU and trauma detection, highlighting the critical importance of early detection, ultimately demonstrating the potential of AI to enhance risk stratification and quality of care at the point of care.
  • Watch the demo of the AI-enabled early sepsis detection application.
  • Understand the inner workings of the application – how the data was integrated, how the risk scoring was developed and get your queries addressed.


  • Introduction of the speakers, and the webinar topic (5 minutes)
  • AI in healthcare, particularly in risk stratification (15 minutes)
  • Case study: AI in early Sepsis detection (15 minutes)
  • Case study: Trauma prediction (15 minutes)
  • Q&A (10 minutes)


If you would like to know more or discuss our use cases in detail