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.
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http://dx.doi.org/10.1111/1475-6773.12133 | DOI Listing |
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Department of Chemical and Biological Engineering, Gachon University, Seongnam, 13120, Republic of Korea.
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Department of Electronic Engineering, Yeungnam University, Gyeongsan, 38541, South Korea.
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Department of Medical and Surgical Sciences, Institute of Cardiology, University of Bologna, Policlinico S.Orsola-Malpighi, via Massarenti 9, Bologna, 40138, Italy.
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Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
E-cigarette/vaping-associated lung injury (EVALI) is strongly associated with vitamin E acetate and often occurs with concomitant tetrahydrocannabinol (THC) use. To uncover pathways associated with EVALI, we examined cytokines, transcriptomic signatures, and lipidomic profiles in bronchoalveolar lavage fluid (BALF) from THC-EVALI patients. At a single center, we prospectively enrolled mechanically ventilated patients with EVALI from THC-containing products (N = 4) and patients with non-vaping acute lung injury and airway controls (N = 5).
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