A modern optical character recognition system in a real world clinical setting: some accuracy and feasibility observations.

Paul G. Biondich, J. Marc Overhage, Paul R. Dexter, Stephen M. Downs, Larry Lemmon, Clement J. McDonald

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

Advances in optical character recognition (OCR) software and computer hardware have stimulated a reevaluation of the technology and its ability to capture structured clinical data from preexisting paper forms. In our pilot evaluation, we measured the accuracy and feasibility of capturing vitals data from a pediatric encounter form that has been in use for over twenty years. We found that the software had a digit recognition rate of 92.4% (95% confidence interval: 91.6 to 93.2) overall. More importantly, this system was approximately three times as fast as our existing method of data entry. These preliminary results suggest that with further refinements in the approach and additional development, we may be able to incorporate OCR as another method for capturing structured clinical data.

Original languageEnglish (US)
Pages (from-to)56-60
Number of pages5
JournalProceedings / AMIA ... Annual Symposium. AMIA Symposium
StatePublished - 2002

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint Dive into the research topics of 'A modern optical character recognition system in a real world clinical setting: some accuracy and feasibility observations.'. Together they form a unique fingerprint.

  • Cite this