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Research#LLM🔬 ResearchAnalyzed: Jan 10, 2026 13:07

Improving Clinical Note Generation with GPT-4: Leveraging ICD-10, Knowledge Graphs, and Chain-of-Thought

Published:Dec 4, 2025 21:12
1 min read
ArXiv

Analysis

This research explores a practical application of GPT-4 in healthcare, focusing on the crucial task of clinical note generation. The integration of ICD-10 codes, clinical ontologies, and chain-of-thought prompting offers a promising approach to enhance accuracy and informativeness.
Reference

“The research leverages ICD-10 codes, clinical ontologies, and chain-of-thought prompting.”

PermalinkArXiv
Research#AI in Healthcare📝 BlogAnalyzed: Jan 3, 2026 06:08

Presentation on DPC Coding at Applied AI R&D Meetup

Published:Nov 24, 2025 14:50
1 min read
Zenn NLP

Analysis

The article discusses a presentation on DPC/PDPS and Clinical Coding related to a hospital product. Clinical Coding involves converting medical records into standard classification codes, primarily ICD-10 for diseases and medical procedure codes in Japan. The task is characterized by a large number of classes, significant class imbalance (rare diseases), and is likely a multi-class classification problem.
Reference

“Clinical Coding is the technology that converts information from medical records regarding a patient's condition, diagnosis, treatment, etc., into codes of some standard classification system. In Japan, for diseases, it is mostly converted to ICD-10 (International Classification of Diseases, 10th edition), and for procedures, it is converted to codes from the medical treatment behavior master. This task is characterized by a very large number of classes, a significant bias in class occurrence rates (rare diseases occur in about one in several hundred thousand people), and...”

PermalinkZenn NLP