Ontology highlight
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 >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.
SUBMITTER: Fleming NS
PROVIDER: S-EPMC3925410 | biostudies-literature | 2014 Feb
REPOSITORIES: biostudies-literature
Fleming Neil S NS Becker Edmund R ER Culler Steven D SD Cheng Dunlei D McCorkle Russell R da Graca Briget B Ballard David J DJ
Health services research 20131221 1 Pt 2
<h4>Objective</h4>To estimate a commercially available ambulatory electronic health record's (EHR's) impact on workflow and financial measures.<h4>Data sources/study setting</h4>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.<h4>Study design</h4>An interrupted time series design was used. Staffing, visit intensity, productivity, volume, practice ...[more]