MediClass: A system for detecting and classifying encounter-based clinical events in any electronic medical record.

@article{Hazlehurst2005MediClassAS,
  title={MediClass: A system for detecting and classifying encounter-based clinical events in any electronic medical record.},
  author={Brian Hazlehurst and H. Robert Frost and Dean F. Sittig and Victor J. Stevens},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2005},
  volume={12 5},
  pages={517-29}
}
MediClass is a knowledge-based system that processes both free-text and coded data to automatically detect clinical events in electronic medical records (EMRs). This technology aims to optimize both clinical practice and process control by automatically coding EMR contents regardless of data input method (e.g., dictation, structured templates, typed narrative). We report on the design goals, implemented functionality, generalizability, and current status of the system. MediClass could aid both… CONTINUE READING
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The MediClass system for identifying vaccine reactions in the EMR. Presented at the Annual Meeting of the Vaccine Safety Datalink

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