Automating ICD-9-CM Encoding Using Medical Language Processing: A Feasibility Study

@inproceedings{Lussier2000AutomatingIE,
  title={Automating ICD-9-CM Encoding Using Medical Language Processing: A Feasibility Study},
  author={Yves A. Lussier and Lyudmila Shagina and Carol Friedman},
  booktitle={AMIA},
  year={2000}
}
Objective. To provide a qualitative evaluation of Natural Language Processing (NLP) based ICD-9CM (Encoding of narrative discharge summaries). Background. MedLEE is a NLP system that structures the information of textual medical reports. It was shown to be effective for decision support applications associated with narrative chest X-rays, mammograms, and Discharge Summaries (DS). Significance. Automated Encoding of DS could improve hospitals’ compliancy with the forthcoming ICD-10-CM / ICD-10… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 19 extracted citations

References

Publications referenced by this paper.
Showing 1-3 of 3 references

Terminology II : Establishing the Consensus

PS Gibbons
Nat Conf on Terminology for Clinical Patient Description . VA • 1999

Similar Papers

Loading similar papers…