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A method for extracting electronic patient record data from practice management software systems used in veterinary

Julie S Jones-Diette1,2, Marnie L Brennan1, Malcolm Cobb3

  • 1Centre for Evidence-based Veterinary Science, School of Veterinary Medicine & Science, University of Nottingham, Nottingham, LE12 5RD, UK.

BMC Veterinary Research
|October 22, 2016
PubMed
Summary

A new XML schema method efficiently extracts veterinary electronic patient records (EPRs) for research. This accurate data extraction technique overcomes practice management system (PMS) compatibility issues, enabling broader veterinary research applications.

Keywords:
AccuracyElectronic patient recordsExtensible mark-up language

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Area of Science:

  • Veterinary Informatics
  • Data Science in Animal Health
  • Clinical Research Methodology

Background:

  • Electronic patient records (EPRs) offer valuable data for veterinary research, but system incompatibility hinders data aggregation.
  • Multiple Practice Management System (PMS) providers in the UK create challenges for unified data extraction.
  • Extensible Markup Language (XML) presents a potential solution for cross-system data compatibility.

Purpose of the Study:

  • To develop and validate a novel method for extracting small animal patient records from veterinary EPRs.
  • To establish an XML schema capable of facilitating data extraction across diverse veterinary PMS.
  • To assess the accuracy and efficiency of the developed XML schema in a real-world clinical setting.

Main Methods:

  • An XML schema was designed to capture clinical information from EPRs.
  • The schema underwent validation in a test environment.
  • Data extraction was performed over 18 weeks in a small animal veterinary practice.
  • A 10% sample of extracted records was manually verified against paper records.

Main Results:

  • The XML schema achieved 100% accuracy in extracting all 21 defined fields from the test system.
  • Over 4,900 records from 1,200+ patients were successfully extracted from the practice.
  • Manual verification confirmed the presence of all required data and the exclusion of sensitive information.

Conclusions:

  • This study reports the first UK use of an XML schema for veterinary EPR data extraction.
  • The developed method is efficient, accurate, and adaptable for use with various PMS.
  • This approach has the potential to significantly advance veterinary research by enabling standardized data utilization.