Patient Risk Assessments × Deep 6 AI

Case Study:
Leveraging AI to Identify COPD Exacerbation Risk

This case study highlights how advanced AI and natural language processing (NLP) technology helped refine patient identification algorithms for chronic obstructive pulmonary disease (COPD) exacerbations, improving treatment optimization.

Key takeaways include:

  • Challenge: Develop a precise algorithm to identify COPD exacerbation risk using structured and unstructured EHR data.
  • Approach: Deep 6 AI technology was utilized to analyze EHR data, refining the algorithm with criteria like smoking history, eosinophil counts, and COPD assessments. Iterative adjustments enhanced accuracy.
  • Outcome: The algorithm identified 30.7% of patients in the COPD cohort as having a history of exacerbation, offering a more precise tool compared to claims data-based models. These insights enable clinicians to optimize treatment for high-risk patients.

Download the case study to explore how AI-driven insights can revolutionize patient care and risk prediction.

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