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

Pattern recognition in health insurance claims databases.

A M Walker1

  • 1Epidemiology Division, Ingenix Pharmaceutical Services, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA. alecwalker@epidemiology.com

Pharmacoepidemiology and Drug Safety
|January 23, 2002
PubMed
Summary

Discovering insights in claims databases relies on identifying data patterns, not just individual data points. This requires new approaches to questioning data and ensuring the accuracy of relationships for robust analysis.

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

Adolescent ethanol exposure reprograms HMGB1 responsivity to adult ethanol challenge in males.

Physiology & behavior·2026
Same author

Computed tomography versus radiography for assessment of canine humeral condylar fracture malreductions.

New Zealand veterinary journal·2025
Same author

Development of a novel Bluetooth Low Energy device for proximity and location monitoring in grazing sheep.

Animal : an international journal of animal bioscience·2024
Same author

Neuroprotection by anaesthetics in rodent models of traumatic brain injury: a systematic review and network meta-analysis.

British journal of anaesthesia·2018
Same author

Point-of-care paediatric gastric sonography: can antral cut-off values be used to diagnose an empty stomach?

British journal of anaesthesia·2017
Same author

The kinematics and kinetics of riding a racehorse: A quantitative comparison of a training simulator and real horses.

Journal of biomechanics·2016

Area of Science:

  • Health Informatics
  • Data Science
  • Medical Data Analysis

Background:

  • Claims databases contain vast information structured by coding systems like CPT, HCPCS, ICD, and NDC.
  • Traditional analysis often focuses on individual data elements, overlooking complex relationships.

Purpose of the Study:

  • To explore novel methods for extracting meaningful information from claims databases.
  • To emphasize the importance of data patterns and relationships over isolated facts.

Main Methods:

  • Utilizing pattern discovery techniques to query data for relational classes.
  • Employing automated systems and empirical methods to identify predefined and emergent relationships.
  • Adapting disease natural history into a claims data context to study disease evolution.

Related Experiment Videos

Main Results:

  • Information is best represented by data patterns within claims databases.
  • Effective analysis necessitates a shift towards questioning data relationships and employing specialized terminology.
  • Quality control must prioritize the correctness of data relations in large datasets.

Conclusions:

  • Claims data analysis requires a paradigm shift towards pattern recognition and relational integrity.
  • New terminologies and questioning strategies are essential for unlocking the full potential of claims data.
  • Robust quality control is critical for deriving high-level insights from massive datasets.