Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

@article{Hripcsak1995UnlockingCD,
  title={Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing},
  author={George Hripcsak and Caitlin Friedman and Philip O. Alderson and William DuMouchel and Stephen B. Johnson and Paul D. Clayton},
  journal={Annals of Internal Medicine},
  year={1995},
  volume={122},
  pages={681-688}
}
The use of automated systems and electronic databases to enhance the quality, reduce the cost, and improve the management of health care has become common. Recent examples include using these systems to prevent adverse drug events [1, 2] and to encourage efficient treatment [3]. To function properly, automated systems require accurate, complete data. Although laboratory results are routinely available in electronic form, the most important clinical informationsymptoms, signs, and… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 216 CITATIONS, ESTIMATED 60% COVERAGE

IMPORTANCE OF MEASURING SENTENTIAL SEMANTIC KNOWLEDGE BASE OF A „FREE TEXT‟ MEDICAL CORPUS

VIEW 10 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Bioterrorism preparedness and response: use of information technologies and decision support systems.

VIEW 3 EXCERPTS
CITES BACKGROUND, METHODS & RESULTS
HIGHLY INFLUENCED

Classification algorithms applied to narrative reports

VIEW 3 EXCERPTS
CITES METHODS

FILTER CITATIONS BY YEAR

1995
2019

CITATION STATISTICS

  • 3 Highly Influenced Citations

References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES

Medical decision support: experience with implementing the Arden Syntax at the Columbia-Presbyterian Medical Center.

VIEW 2 EXCERPTS

Rationale for the Arden Syntax.

VIEW 3 EXCERPTS

Monitoring free-text data using medical language processing.

VIEW 1 EXCERPT