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

BACKGROUND: Data extracted from electronic patient records (EPRs) within practice management software systems are increasingly used in veterinary research. The use of real patient data gives the potential to generate research that can readily be applied to clinical practice. The use of veterinary EP...

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Autores principales: Jones-Diette, Julie S., Brennan, Marnie L., Cobb, Malcolm, Doit, Hannah, Dean, Rachel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073902/
https://www.ncbi.nlm.nih.gov/pubmed/27765037
http://dx.doi.org/10.1186/s12917-016-0861-y
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author Jones-Diette, Julie S.
Brennan, Marnie L.
Cobb, Malcolm
Doit, Hannah
Dean, Rachel S.
author_facet Jones-Diette, Julie S.
Brennan, Marnie L.
Cobb, Malcolm
Doit, Hannah
Dean, Rachel S.
author_sort Jones-Diette, Julie S.
collection PubMed
description BACKGROUND: Data extracted from electronic patient records (EPRs) within practice management software systems are increasingly used in veterinary research. The use of real patient data gives the potential to generate research that can readily be applied to clinical practice. The use of veterinary EPRs for research in the United Kingdom is hindered by the number of different Practice Management System (PMS) providers used by practices, as obtaining and combining data from different systems electronically can be problematic. The use of extensible mark up language (XML) to extract clinical data for research would potentially resolve the compatibility issues between systems. The aim of this study was to establish and validate a method for the extraction of small animal patient records from a veterinary PMS that could potentially be used across multiple systems. An XML schema was designed to extract clinical information from EPRs. The schema was tested and validated in a test system, and was then tested in a real small animal practice where data was extracted for 16 weeks. A 10 % sample of the extracted records was then compared to paper copies provided by the practice. RESULTS: All 21 fields encoded by the XML schema, from all of the records in the test system, were extracted with 100 % accuracy. Over the 18 week data collection period 4946 records, from 1279 patients, were extracted from the small animal practice. The 10 % printed records checked and compared with the XML extracted records demonstrated all required data was present. No unrequired, sensitive information e.g. costs or services/products or personal client information was extracted. CONCLUSIONS: This is the first time a method for data extraction from EPRs in veterinary practice using an XML schema has been reported in the United Kingdom. This is an efficient and accurate way of extracting data which could be applied to all PMSs nationally and internationally. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12917-016-0861-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-50739022016-10-26 A method for extracting electronic patient record data from practice management software systems used in veterinary practice Jones-Diette, Julie S. Brennan, Marnie L. Cobb, Malcolm Doit, Hannah Dean, Rachel S. BMC Vet Res Methodology Article BACKGROUND: Data extracted from electronic patient records (EPRs) within practice management software systems are increasingly used in veterinary research. The use of real patient data gives the potential to generate research that can readily be applied to clinical practice. The use of veterinary EPRs for research in the United Kingdom is hindered by the number of different Practice Management System (PMS) providers used by practices, as obtaining and combining data from different systems electronically can be problematic. The use of extensible mark up language (XML) to extract clinical data for research would potentially resolve the compatibility issues between systems. The aim of this study was to establish and validate a method for the extraction of small animal patient records from a veterinary PMS that could potentially be used across multiple systems. An XML schema was designed to extract clinical information from EPRs. The schema was tested and validated in a test system, and was then tested in a real small animal practice where data was extracted for 16 weeks. A 10 % sample of the extracted records was then compared to paper copies provided by the practice. RESULTS: All 21 fields encoded by the XML schema, from all of the records in the test system, were extracted with 100 % accuracy. Over the 18 week data collection period 4946 records, from 1279 patients, were extracted from the small animal practice. The 10 % printed records checked and compared with the XML extracted records demonstrated all required data was present. No unrequired, sensitive information e.g. costs or services/products or personal client information was extracted. CONCLUSIONS: This is the first time a method for data extraction from EPRs in veterinary practice using an XML schema has been reported in the United Kingdom. This is an efficient and accurate way of extracting data which could be applied to all PMSs nationally and internationally. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12917-016-0861-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-21 /pmc/articles/PMC5073902/ /pubmed/27765037 http://dx.doi.org/10.1186/s12917-016-0861-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Jones-Diette, Julie S.
Brennan, Marnie L.
Cobb, Malcolm
Doit, Hannah
Dean, Rachel S.
A method for extracting electronic patient record data from practice management software systems used in veterinary practice
title A method for extracting electronic patient record data from practice management software systems used in veterinary practice
title_full A method for extracting electronic patient record data from practice management software systems used in veterinary practice
title_fullStr A method for extracting electronic patient record data from practice management software systems used in veterinary practice
title_full_unstemmed A method for extracting electronic patient record data from practice management software systems used in veterinary practice
title_short A method for extracting electronic patient record data from practice management software systems used in veterinary practice
title_sort method for extracting electronic patient record data from practice management software systems used in veterinary practice
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073902/
https://www.ncbi.nlm.nih.gov/pubmed/27765037
http://dx.doi.org/10.1186/s12917-016-0861-y
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