NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes

@inproceedings{McEwan2016NLPPIERAS,
  title={NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes},
  author={Reed McEwan and Genevieve B. Melton and Benjamin C. Knoll and Yan Wang and Gretchen M. Hultman and Justin L. Dale and Tim Meyer and Serguei V. S. Pakhomov},
  booktitle={CRI},
  year={2016}
}
Many design considerations must be addressed in order to provide researchers with full text and semantic search of unstructured healthcare data such as clinical notes and reports. Institutions looking at providing this functionality must also address the big data aspects of their unstructured corpora. Because these systems are complex and demand a non-trivial investment, there is an incentive to make the system capable of servicing future needs as well, further complicating the design. We… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS
9 Citations
15 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-9 of 9 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Enabling Use of High Performance Computing for Secure Processing of Protected Health Information

  • R Bill, GB Melton, +5 authors SV. Pakhomov
  • American Medical Informatics Association Joint…
  • 2015

Similar Papers

Loading similar papers…