ICD-10 Clinical Modification
PulseAugur coverage of ICD-10 Clinical Modification — every cluster mentioning ICD-10 Clinical Modification across labs, papers, and developer communities, ranked by signal.
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New graph-constrained policy learning improves clinical code prediction
Researchers have developed a novel graph-constrained policy learning approach for predicting clinical codes from medical discharge summaries. This method treats code prediction as a sequential decision process, navigati…
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AI poised to revolutionize medical chart review and billing after scribe adoption
AI is rapidly transforming the medical field, with AI scribes now used by nearly a third of physician practices. The author, an AI researcher and physician, identifies patient chart review and medical coding/billing as …
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New LLM method improves disease classification mapping accuracy
Researchers have developed a new method for mapping disease classification systems, addressing the challenge of one-to-many relationships between codes. This approach, inspired by entity resolution pipelines, uses a blo…
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New EHR models leverage ICD code hierarchy for improved predictions
Researchers have developed new methods for electronic health record (EHR) foundation models to better utilize the hierarchical structure of ICD diagnosis codes. Current models treat these codes as flat tokens, ignoring …
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LLM-generated data boosts non-English clinical coding search
Researchers explored the effectiveness of generalistic versus specific embeddings for semantic search in clinical coding across non-English languages. They found that fine-tuning a Spanish biomedical encoder with LLM-ge…
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LLM Agents Enhance Medical Coding Accuracy with Structured Knowledge
Researchers have developed RAG-Coding, a novel method that uses four large language model (LLM) agents to improve the accuracy of automated medical coding for ICD-10-CM. This approach grounds the LLMs' decisions in exte…