Use of electronic health records for early detection of high-cost, low back pain patients

This study sought to determine whether predictive models based on electronic health record data could identify future high-cost patients experiencing low back pain (LBP). With back pain being the most common pain problem in the general population, managing LBP patients is complex. The authors explor...

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Main Authors:	Maeng, Daniel D, Stewart, Walter F, Yan, Xiaowei, Boscarino, Joseph A, Mardekian, Jack, Harnett, James, Von Korff, Michael R
Format:	Online
Language:	English
Published:	Pulsus Group Inc 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596630/

id	pubmed-4596630
recordtype	oai_dc
spelling	pubmed-45966302015-10-14 Use of electronic health records for early detection of high-cost, low back pain patients Maeng, Daniel D Stewart, Walter F Yan, Xiaowei Boscarino, Joseph A Mardekian, Jack Harnett, James Von Korff, Michael R Original Article This study sought to determine whether predictive models based on electronic health record data could identify future high-cost patients experiencing low back pain (LBP). With back pain being the most common pain problem in the general population, managing LBP patients is complex. The authors explored the feasibility of using health record data to understand the relationship between the occurrence of LBP and the utilization of care that followed an initial primary care centre visit. Pulsus Group Inc 2015 /pmc/articles/PMC4596630/ /pubmed/26291127 Text en ©2015 Pulsus Group Inc. All rights reserved This open-access article is distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC) (http://creativecommons.org/licenses/by-nc/4.0/), which permits reuse, distribution and reproduction of the article, provided that the original work is properly cited and the reuse is restricted to noncommercial purposes. For commercial reuse, contact support@pulsus.com
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Maeng, Daniel D Stewart, Walter F Yan, Xiaowei Boscarino, Joseph A Mardekian, Jack Harnett, James Von Korff, Michael R
spellingShingle	Maeng, Daniel D Stewart, Walter F Yan, Xiaowei Boscarino, Joseph A Mardekian, Jack Harnett, James Von Korff, Michael R Use of electronic health records for early detection of high-cost, low back pain patients
author_facet	Maeng, Daniel D Stewart, Walter F Yan, Xiaowei Boscarino, Joseph A Mardekian, Jack Harnett, James Von Korff, Michael R
author_sort	Maeng, Daniel D
title	Use of electronic health records for early detection of high-cost, low back pain patients
title_short	Use of electronic health records for early detection of high-cost, low back pain patients
title_full	Use of electronic health records for early detection of high-cost, low back pain patients
title_fullStr	Use of electronic health records for early detection of high-cost, low back pain patients
title_full_unstemmed	Use of electronic health records for early detection of high-cost, low back pain patients
title_sort	use of electronic health records for early detection of high-cost, low back pain patients
description	This study sought to determine whether predictive models based on electronic health record data could identify future high-cost patients experiencing low back pain (LBP). With back pain being the most common pain problem in the general population, managing LBP patients is complex. The authors explored the feasibility of using health record data to understand the relationship between the occurrence of LBP and the utilization of care that followed an initial primary care centre visit.
publisher	Pulsus Group Inc
publishDate	2015
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596630/
_version_	1613484670963417088

Use of electronic health records for early detection of high-cost, low back pain patients

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