Literature DB >> 1395524

Tolerating spelling errors during patient validation.

C Friedman1, R Sideli.   

Abstract

Misspellings, typographical errors, and variant name forms present a considerable problem for a Clinical Information System when validating patient data. Algorithms to correct these types of errors are being used, but they are based either on a study of frequent types of errors associated with general words in an English text rather than types of errors associated with the spelling of names, or on errors that are phonologically based. This paper investigates the types of errors that are specifically associated with the spelling of patient names, and proposes an algorithm that effectively handles such types of errors. This paper also studies the effectiveness of several relaxation techniques and compares them with the one that is being proposed.

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Year:  1992        PMID: 1395524     DOI: 10.1016/0010-4809(92)90005-u

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  16 in total

1.  A record linkage protocol for a diabetes registry at ethnically diverse community health centers.

Authors:  Neil A Maizlish; Linda Herrera
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

2.  Using natural language processing to improve accuracy of automated notifiable disease reporting.

Authors:  Jeff Friedlin; Shaun Grannis; J Marc Overhage
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

3.  Evaluation of a "lexically assign, logically refine" strategy for semi-automated integration of overlapping terminologies.

Authors:  R H Dolin; S M Huff; R A Rocha; K A Spackman; K E Campbell
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

4.  Using computer-based medical records to predict mortality risk for inner-city patients with reactive airways disease.

Authors:  W M Tierney; M D Murray; D L Gaskins; X H Zhou
Journal:  J Am Med Inform Assoc       Date:  1997 Jul-Aug       Impact factor: 4.497

5.  Integrating data from natural language processing into a clinical information system.

Authors:  S B Johnson; C Friedman
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

6.  Mapping clinically useful terminology to a controlled medical vocabulary.

Authors:  R C Barrows; J J Cimino; P D Clayton
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

7.  Design and implementation of the Indianapolis Network for Patient Care and Research.

Authors:  J M Overhage; W M Tierney; C J McDonald
Journal:  Bull Med Libr Assoc       Date:  1995-01

8.  A software tool for removing patient identifying information from clinical documents.

Authors:  F Jeff Friedlin; Clement J McDonald
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

9.  Quantifying risk of adverse clinical events with one set of vital signs among primary care patients with hypertension.

Authors:  William M Tierney; Margaret Brunt; Joseph Kesterson; Xiao-Hua Zhou; Gil L'Italien; Pablo Lapuerta
Journal:  Ann Fam Med       Date:  2004 May-Jun       Impact factor: 5.166

10.  Privacy-preserving record linkage using Bloom filters.

Authors:  Rainer Schnell; Tobias Bachteler; Jörg Reiher
Journal:  BMC Med Inform Decis Mak       Date:  2009-08-25       Impact factor: 2.796

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