The Impact of Electronic Health Records on Workflow and Financial Measures in Primary Care Practices

Objective To estimate a commercially available ambulatory electronic health record's (EHR's) impact on workflow and financial measures. Data Sources/Study Setting Administrative, payroll, and billing data were collected for 26 primary care practices in a fee‐for‐service network that rolled...

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Veröffentlicht in:Health services research 2014-02, Vol.49 (1pt2), p.405-420
Hauptverfasser: Fleming, Neil S., Becker, Edmund R., Culler, Steven D., Cheng, Dunlei, McCorkle, Russell, Graca, Briget da, Ballard, David J.
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container_end_page 420
container_issue 1pt2
container_start_page 405
container_title Health services research
container_volume 49
creator Fleming, Neil S.
Becker, Edmund R.
Culler, Steven D.
Cheng, Dunlei
McCorkle, Russell
Graca, Briget da
Ballard, David J.
description Objective To estimate a commercially available ambulatory electronic health record's (EHR's) impact on workflow and financial measures. Data Sources/Study Setting Administrative, payroll, and billing data were collected for 26 primary care practices in a fee‐for‐service network that rolled out an EHR on a staggered schedule from June 2006 through December 2008. Study Design An interrupted time series design was used. Staffing, visit intensity, productivity, volume, practice expense, payments received, and net income data were collected monthly for 2004–2009. Changes were evaluated 1–6, 7–12, and >12 months postimplementation. Data Collection/Extraction Methods Data were accessed through a SQLserver database, transformed into SAS®, and aggregated by practice. Practice‐level data were divided by full‐time physician equivalents for comparisons across practices by month. Principal Findings Staffing and practice expenses increased following EHR implementation (3 and 6 percent after 12 months). Productivity, volume, and net income decreased initially but recovered to/close to preimplementation levels after 12 months. Visit intensity did not change significantly, and a secular trend offset the decrease in payments received. Conclusions Expenses increased and productivity decreased following EHR implementation, but not as much or as persistently as might be expected. Longer term effects still need to be examined.
doi_str_mv 10.1111/1475-6773.12133
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Data Sources/Study Setting Administrative, payroll, and billing data were collected for 26 primary care practices in a fee‐for‐service network that rolled out an EHR on a staggered schedule from June 2006 through December 2008. Study Design An interrupted time series design was used. Staffing, visit intensity, productivity, volume, practice expense, payments received, and net income data were collected monthly for 2004–2009. Changes were evaluated 1–6, 7–12, and &gt;12 months postimplementation. Data Collection/Extraction Methods Data were accessed through a SQLserver database, transformed into SAS®, and aggregated by practice. Practice‐level data were divided by full‐time physician equivalents for comparisons across practices by month. Principal Findings Staffing and practice expenses increased following EHR implementation (3 and 6 percent after 12 months). Productivity, volume, and net income decreased initially but recovered to/close to preimplementation levels after 12 months. Visit intensity did not change significantly, and a secular trend offset the decrease in payments received. Conclusions Expenses increased and productivity decreased following EHR implementation, but not as much or as persistently as might be expected. 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Data Sources/Study Setting Administrative, payroll, and billing data were collected for 26 primary care practices in a fee‐for‐service network that rolled out an EHR on a staggered schedule from June 2006 through December 2008. Study Design An interrupted time series design was used. Staffing, visit intensity, productivity, volume, practice expense, payments received, and net income data were collected monthly for 2004–2009. Changes were evaluated 1–6, 7–12, and &gt;12 months postimplementation. Data Collection/Extraction Methods Data were accessed through a SQLserver database, transformed into SAS®, and aggregated by practice. Practice‐level data were divided by full‐time physician equivalents for comparisons across practices by month. Principal Findings Staffing and practice expenses increased following EHR implementation (3 and 6 percent after 12 months). Productivity, volume, and net income decreased initially but recovered to/close to preimplementation levels after 12 months. Visit intensity did not change significantly, and a secular trend offset the decrease in payments received. Conclusions Expenses increased and productivity decreased following EHR implementation, but not as much or as persistently as might be expected. 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Abstracts (ASSIA)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fleming, Neil S.</au><au>Becker, Edmund R.</au><au>Culler, Steven D.</au><au>Cheng, Dunlei</au><au>McCorkle, Russell</au><au>Graca, Briget da</au><au>Ballard, David J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Impact of Electronic Health Records on Workflow and Financial Measures in Primary Care Practices</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2014-02</date><risdate>2014</risdate><volume>49</volume><issue>1pt2</issue><spage>405</spage><epage>420</epage><pages>405-420</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><coden>HESEA5</coden><abstract>Objective To estimate a commercially available ambulatory electronic health record's (EHR's) impact on workflow and financial measures. Data Sources/Study Setting Administrative, payroll, and billing data were collected for 26 primary care practices in a fee‐for‐service network that rolled out an EHR on a staggered schedule from June 2006 through December 2008. Study Design An interrupted time series design was used. Staffing, visit intensity, productivity, volume, practice expense, payments received, and net income data were collected monthly for 2004–2009. Changes were evaluated 1–6, 7–12, and &gt;12 months postimplementation. Data Collection/Extraction Methods Data were accessed through a SQLserver database, transformed into SAS®, and aggregated by practice. Practice‐level data were divided by full‐time physician equivalents for comparisons across practices by month. Principal Findings Staffing and practice expenses increased following EHR implementation (3 and 6 percent after 12 months). Productivity, volume, and net income decreased initially but recovered to/close to preimplementation levels after 12 months. Visit intensity did not change significantly, and a secular trend offset the decrease in payments received. Conclusions Expenses increased and productivity decreased following EHR implementation, but not as much or as persistently as might be expected. Longer term effects still need to be examined.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>24359533</pmid><doi>10.1111/1475-6773.12133</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
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source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection
subjects Ambulatory Care - economics
Ambulatory Care - organization & administration
Analysis
Computerized medical records
Costs
Efficiency, Organizational - economics
Electronic health records
Electronic Health Records - economics
Electronic Health Records - organization & administration
Electronic records
Family medicine
Female
financial performance
Health Information Technology
Humans
Male
Medical practices
Medical records
Middle Aged
Payments
Practice Patterns, Physicians' - organization & administration
Primary care
Primary health care
Primary Health Care - economics
Primary Health Care - organization & administration
Productivity
Staffing
Studies
Texas
Time Factors
Time series
Workflow
Workflow software
Workforce planning
title The Impact of Electronic Health Records on Workflow and Financial Measures in Primary Care Practices
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