Challenges:
- Non-standardized Data Records: A renowned software company specializing in automated medical coding for healthcare providers faced non-standardized medical records from a wide range of providers and specialties.
- Loss of Crucial Data: Traditional OCR methods led to the loss of crucial data context and relationships within complex medical records.
- Training Data Limitation: Highly nuanced medical coding requirements and limited training data made conventional machine-learning approaches ineffective.
Approach by Exela:
- Our Generative AI solution created automated and standardized ‘Omega charts’ for patient encounter data.
- Using our AI agent, the solution parsed complex medical records efficiently, preserving the critical relationships and hierarchies within the data.
- The capabilities expanded to include predictive coding, improving the accuracy and efficiency of the medical coding process.