Papers with medical coding
MDACE: MIMIC Documents Annotated with Code Evidence (2023.acl-long)
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Hua Cheng, Rana Jafari, April Russell, Russell Klopfer, Edmond Lu, Benjamin Striner, Matthew Gormley
| Challenge: | Computer-Assisted Coding (CAC) systems are required to provide supporting textual evidence to justify billing codes. |
| Approach: | They propose a dataset for evidence/rationale extraction on an extreme multi-label classification task over long medical documents. |
| Outcome: | The proposed dataset can be used to evaluate evidence extraction methods for CAC systems, as well as the accuracy and interpretability of deep learning models for multi-label classification. |
Effective Convolutional Attention Network for Multi-label Clinical Document Classification (2021.emnlp-main)
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| Challenge: | a large number of medical encounters need to be coded everyday due to long document sets and large label set. |
| Approach: | They propose a convolutional attention network for multi-label document classification problem . they use convolution-based encoders and convolution networks to aggregate information across documents . |
| Outcome: | The proposed model outperforms prior best model and multilingual Transformer model on a widely used dataset in the medical domain. |
Code Like Humans: A Multi-Agent Solution for Medical Coding (2025.findings-emnlp)
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Andreas Geert Motzfeldt, Joakim Edin, Casper L. Christensen, Christian Hardmeier, Lars Maaløe, Anna Rogers
| Challenge: | In medical coding, experts map unstructured clinical notes to alphanumeric codes for diagnoses and procedures. |
| Approach: | They introduce ‘Code Like Humans’: a new agentic framework for medical coding with large language models that implements official coding guidelines for human experts. |
| Outcome: | The proposed framework implements official coding guidelines for human experts and can support the full ICD-10 coding system (+70K labels). |