Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Validating patient names in an integrated clinical information system.

R V Sideli1, C Friedman

  • 1Columbia-Presbyterian Medical Center, New York.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1991
PubMed
Summary

This study evaluated methods for validating patient names in clinical records. The Longest Common Subsequence (LCS) method demonstrated superior performance compared to Soundex and exact string matching, improving data accuracy.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Urban air pollution and in vitro fertilization outcomes: A Canadian retrospective study.

Reproductive toxicology (Elmsford, N.Y.)·2026
Same author

Development of a battery of tests to measure attitudes and intended behaviours of dental students towards people with disability or those in marginalised groups.

European journal of dental education : official journal of the Association for Dental Education in Europe·2017
Same author

Patient-Centered Network of Learning Health Systems: Developing a resource for clinical translational research.

Journal of clinical and translational science·2017
Same author

The kinematics of the California sea lion foreflipper during forward swimming.

Bioinspiration & biomimetics·2014
Same author

Similarity-based modeling applied to signal detection in pharmacovigilance.

CPT: pharmacometrics & systems pharmacology·2014
Same author

Methods for identifying suicide or suicidal ideation in EHRs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2013

Area of Science:

  • Medical Informatics
  • Data Quality Management
  • Clinical Data Validation

Background:

  • Accurate patient identification is crucial for clinical record integrity.
  • Manual validation of patient names is time-consuming and prone to errors.
  • Existing automated methods may not adequately address spelling and typographical variations in patient names.

Purpose of the Study:

  • To compare the effectiveness of different automated methods for validating patient names.
  • To identify common errors in patient names within clinical pathology records.
  • To determine the optimal algorithm for enhancing patient name data quality.

Main Methods:

  • Comparison of Exact String Matching, Soundex, and Longest Common Subsequence (LCS) algorithms.
  • Analysis of 10,000 patient name pairs for validation accuracy.

Related Experiment Videos

  • Characterization of spelling and typographical errors in a real-world pathology database.

    • Main Results:

    • The Longest Common Subsequence (LCS) method outperformed Exact String Matching and Soundex.
    • Manual analysis served as the benchmark for evaluating algorithmic performance.
    • Specific patterns of spelling and typographical errors were identified in patient names.

    Conclusions:

    • The LCS method offers a more robust approach to patient name validation in clinical settings.
    • Automated validation using LCS can significantly improve the accuracy of clinical records.
    • Understanding error types aids in developing more effective data quality control measures.