Medical Economics August 26, 2025
Key Takeaways
- AI and machine learning are driving rapid changes in healthcare, exposing limitations in existing frameworks like ICD-10 codes.
- ICD-10 codes, essential for standardizing diagnoses, are outdated, leading to issues like incomplete patient stratification and delayed reimbursement.
- Integrating unstructured EHR data with ICD codes enhances understanding and patient care, particularly in complex fields like ophthalmology.
- AI-driven data solutions can bridge gaps in ICD-10, offering deeper insights into complex conditions and supporting research advancements.
Rapid technology advancements is creating gaps ICD-10 codes can’t fill
Technology advancements, driven by artificial intelligence and machine learning, are forcing healthcare to change constantly and rapidly. The vast benefits driven by this innovation have revealed shortcomings for which aspects of our health care...
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