UT Dallas Researchers Enhance AI for Medical Coding
Computer science researchers at UT Dallas’ Center for Applied AI and Machine Learning (CAIML) are collaborating with CorroHealth Inc. to advance AI-driven medical coding. CorroHealth’s PULSE Coding Automation Technology leverages large language models (LLMs) and natural language processing (NLP) to improve accuracy and efficiency in coding for outpatient and risk-based payer reimbursements. Seeking to move beyond traditional pattern matching, CorroHealth turned to UT Dallas experts to integrate advanced reasoning capabilities, tackling the complexities of medical record analysis.
UT Dallas Researchers Enhance AI for Medical Coding