scholarly journals PS1-24: Modeling the Relationship Between Self-Reported Urinary Incontinence Data and Diagnoses in an Electronic Health Record

2011 ◽  
Vol 9 (3-4) ◽  
pp. 176-177
Author(s):  
M. Lichtenfeld ◽  
H. Sun ◽  
A. Hirsch ◽  
M. Pfleegor ◽  
J. Reardon ◽  
...  
Keyword(s):  
Urinary Incontinence ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health ◽  
The Relationship

scholarly journals The Relationship between Electronic Health Record Use and Quality of Care over Time

2009 ◽  
Vol 16 (4) ◽  
pp. 457-464 ◽  
Author(s):  
L. Zhou ◽  
C. S. Soran ◽  
C. A. Jenter ◽  
L. A. Volk ◽  
E. J. Orav ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health ◽  
The Relationship ◽  
Over Time

scholarly journals The Relationship Between Magnet Designation, Electronic Health Record Adoption, and Medicare Meaningful Use Payments

2017 ◽  
Vol 35 (8) ◽  
pp. 385-391
Author(s):  
Christine Lippincott ◽  
Cynthia Foronda ◽  
Martin Zdanowicz ◽  
Brian E. McCabe ◽  
Todd Ambrosia
Keyword(s):  
Electronic Health Record ◽  
Meaningful Use ◽  
Health Record ◽  
Electronic Health ◽  
The Relationship

Electronic Health Record Documentation of Nursing Care Procedures and Change in Weight of Healthy, Moderately Premature Neonates

2017 ◽  
Vol 36 (6) ◽  
pp. 348-358 ◽  
Author(s):  
Lory Anne Lewis ◽  
Ann F. Jacobson
Keyword(s):  
Electronic Health Record ◽  
Nursing Care ◽  
Thermal Environment ◽  
Outcome Variable ◽  
Preterm Neonates ◽  
Health Record ◽  
Main Outcome Variable ◽  
Moderately Preterm ◽  
Electronic Health ◽  
The Relationship

AbstractPurpose: To identify the nursing care procedures (NCPs) performed in a NICU that disrupt the thermal environment by opening the incubator of moderately preterm neonates (mPNs) (32–34 wk gestational age) and the relationship between the frequency of these disruptions and change in weight (Δwt).Design: Survey and descriptive correlational methodology.Sample: Systematically identified, published references to NCPs that opening the incubator developed an itemized list of NCPs that was used to query the electronic health records (EHRs) of 164 mPNs in the first ten days of life (DOL).Main Outcome Variable: The Δwt between birth and ten DOL.Results: Of 51 NCPs identified, 26 were represented in the EHR. A mean of 614 (range 402–1,080; SD = 137) EHR-documented NCPs that opening the incubator were recorded. The frequency of NCPs was negatively correlated with the Δwt of mPNs at ten DOL, rs (164) = −.162, p = .038.Keywords: premature; neonatal; preterm neonates; neonatal nursing; thermal regulation; change in weight; nursing documentation; electronic health record

scholarly journals The Relationship Between Electronic Health Record System and Performance on Quality Measures in the American College of Rheumatology’s Rheumatology Informatics System for Effectiveness (RISE) Registry: Observational Study

10.2196/31186 ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. e31186
Author(s):  
Nevin Hammam ◽  
Zara Izadi ◽  
Jing Li ◽  
Michael Evans ◽  
Julia Kay ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Quality Measures ◽  
Independent Effect ◽  
Health Record ◽  
Practice Level ◽  
Patient Reported ◽  
Electronic Health ◽  
And Performance ◽  
The Relationship ◽  
Better Than

Background Routine collection of disease activity (DA) and patient-reported outcomes (PROs) in rheumatoid arthritis (RA) are nationally endorsed quality measures and critical components of a treat-to-target approach. However, little is known about the role electronic health record (EHR) systems play in facilitating performance on these measures. Objective Using the American College Rheumatology’s (ACR’s) RISE registry, we analyzed the relationship between EHR system and performance on DA and functional status (FS) quality measures. Methods We analyzed data collected in 2018 from practices enrolled in RISE. We assessed practice-level performance on quality measures that require DA and FS documentation. Multivariable linear regression and zero-inflated negative binomial models were used to examine the independent effect of EHR system on practice-level quality measure performance, adjusting for practice characteristics and patient case-mix. Results In total, 220 included practices cared for 314,793 patients with RA. NextGen was the most commonly used EHR system (34.1%). We found wide variation in performance on DA and FS quality measures by EHR system (median 30.1, IQR 0-74.8, and median 9.0, IQR 0-74.2), respectively). Even after adjustment, NextGen practices performed significantly better than Allscripts on the DA measure (51.4% vs 5.0%; P<.05) and significantly better than eClinicalWorks and eMDs on the FS measure (49.3% vs 29.0% and 10.9%; P<.05). Conclusions Performance on national RA quality measures was associated with the EHR system, even after adjusting for practice and patient characteristics. These findings suggest that future efforts to improve quality of care in RA should focus not only on provider performance reporting but also on developing and implementing rheumatology-specific standards across EHRs.

scholarly journals The Relationship Between Electronic Health Record System and Performance on Quality Measures in the American College of Rheumatology’s Rheumatology Informatics System for Effectiveness (RISE) Registry: Observational Study (Preprint)

2021 ◽  
Author(s):  
Nevin Hammam ◽  
Zara Izadi ◽  
Jing Li ◽  
Michael Evans ◽  
Julia Kay ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Quality Measures ◽  
Independent Effect ◽  
Health Record ◽  
Practice Level ◽  
Patient Reported ◽  
Electronic Health ◽  
And Performance ◽  
The Relationship ◽  
Better Than

BACKGROUND Routine collection of disease activity (DA) and patient-reported outcomes (PROs) in rheumatoid arthritis (RA) are nationally endorsed quality measures and critical components of a treat-to-target approach. However, little is known about the role electronic health record (EHR) systems play in facilitating performance on these measures. OBJECTIVE Using the American College Rheumatology’s (ACR’s) RISE registry, we analyzed the relationship between EHR system and performance on DA and functional status (FS) quality measures. METHODS We analyzed data collected in 2018 from practices enrolled in RISE. We assessed practice-level performance on quality measures that require DA and FS documentation. Multivariable linear regression and zero-inflated negative binomial models were used to examine the independent effect of EHR system on practice-level quality measure performance, adjusting for practice characteristics and patient case-mix. RESULTS In total, 220 included practices cared for 314,793 patients with RA. NextGen was the most commonly used EHR system (34.1%). We found wide variation in performance on DA and FS quality measures by EHR system (median 30.1, IQR 0-74.8, and median 9.0, IQR 0-74.2), respectively). Even after adjustment, NextGen practices performed significantly better than Allscripts on the DA measure (51.4% vs 5.0%; <i>P</i>&lt;.05) and significantly better than eClinicalWorks and eMDs on the FS measure (49.3% vs 29.0% and 10.9%; <i>P</i>&lt;.05). CONCLUSIONS Performance on national RA quality measures was associated with the EHR system, even after adjusting for practice and patient characteristics. These findings suggest that future efforts to improve quality of care in RA should focus not only on provider performance reporting but also on developing and implementing rheumatology-specific standards across EHRs. CLINICALTRIAL

scholarly journals Electronic Health Record Effects on Work-Life Balance and Burnout Within the I3 Population Collaborative

2017 ◽  
Vol 9 (4) ◽  
pp. 479-484 ◽  
Author(s):  
Sandy L. Robertson ◽  
Mark D. Robinson ◽  
Alfred Reid
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Work Life ◽  
Work Life Balance ◽  
Health Record ◽  
Life Balance ◽  
Practice Size ◽  
After Hours ◽  
Electronic Health ◽  
The Relationship

ABSTRACT Background  Physician burnout is a problem that often is attributed to the use of the electronic health record (EHR). Objective  To estimate the prevalence of burnout and work-life balance satisfaction in primary care residents and teaching physicians, and to examine the relationship between these outcomes, EHR use, and other practice and individual factors. Methods  Residents and faculty in 19 primary care programs were anonymously surveyed about burnout, work-life balance satisfaction, and EHR use. Additional items included practice size, specialty, EHR characteristics, and demographics. A logistic regression model identified independent factors associated with burnout and work-life balance satisfaction. Results  In total, 585 of 866 surveys (68%) were completed, and 216 (37%) respondents indicated 1 or more symptoms of burnout, with 162 (75%) attributing burnout to the EHR. A total of 310 of 585 (53%) reported dissatisfaction with work-life balance, and 497 (85%) indicated that use of the EHR affected their work-life balance. Respondents who spent more than 6 hours weekly after hours in EHR work were 2.9 times (95% confidence interval [CI] 1.9–4.4) more likely to report burnout and 3.9 times (95% CI 1.9–8.2) more likely to attribute burnout to the EHR. They were 0.33 times (95% CI 0.22–0.49) as likely to report work-life balance satisfaction, and 3.7 times (95% CI 2.1–6.7) more likely to attribute their work-life balance satisfaction to the EHR. Conclusions  More after-hours time spent on the EHR was associated with burnout and less work-life satisfaction in primary care residents and faculty.

scholarly journals Physician Burnout and Timing of Electronic Health Record Use

ACI Open ◽  
2020 ◽  
Vol 04 (01) ◽  
pp. e1-e8 ◽  
Author(s):  
Mark A. Micek ◽  
Brian Arndt ◽  
Wen-Jan Tuan ◽  
Elizabeth Trowbridge ◽  
Shannon M. Dean ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Primary Care ◽  
Electronic Health Record ◽  
Work Hours ◽  
Care Practice ◽  
Health Record ◽  
Physician Burnout ◽  
After Hours ◽  
Electronic Health ◽  
The Relationship

Abstract Background Rates of burnout among physicians have been high in recent years. The electronic health record (EHR) is implicated as a major cause of burnout. Objective This article aimed to determine the association between physician burnout and timing of EHR use in an academic internal medicine primary care practice. Methods We conducted an observational cohort study using cross-sectional and retrospective data. Participants included primary care physicians in an academic outpatient general internal medicine practice. Burnout was measured with a single-item question via self-reported survey. EHR time was measured using retrospective automated data routinely captured within the institution's EHR. EHR time was separated into four categories: weekday work-hours in-clinic time, weekday work-hours out-of-clinic time, weekday afterhours time, and weekend/holiday after-hours time. Ordinal regression was used to determine the relationship between burnout and EHR time categories. Results EHR use during in-clinic sessions was related to burnout in both bivariate (odds ratio [OR] = 1.04, 95% confidence interval [CI]: 1.01, 1.06; p = 0.007) and adjusted (OR = 1.07, 95% CI: 1.03, 1.1; p = 0.001) analyses. No significant relationships were found between burnout and after-hours EHR use. Conclusion In this small single-institution study, physician burnout was associated with higher levels of in-clinic EHR use but not after-hours EHR use. Improved understanding of the variability of in-clinic EHR use, and the EHR tasks that are particularly burdensome to physicians, could help lead to interventions that better integrate EHR demands with clinical care and potentially reduce burnout. Further studies including more participants from diverse clinical settings are needed to further understand the relationship between burnout and after-hours EHR use.

Business: The Electronic Health Record: Front Line Experience

2011 ◽  
Vol 21 (1) ◽  
pp. 18-22
Author(s):  
Rosemary Griffin
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Electronic Health Record ◽  
Financial Incentives ◽  
Best Practice ◽  
Health Care Systems ◽  
The United States ◽  
Health Record ◽  
Health Trends ◽  
Electronic Health

National legislation is in place to facilitate reform of the United States health care industry. The Health Care Information Technology and Clinical Health Act (HITECH) offers financial incentives to hospitals, physicians, and individual providers to establish an electronic health record that ultimately will link with the health information technology of other health care systems and providers. The information collected will facilitate patient safety, promote best practice, and track health trends such as smoking and childhood obesity.

Sign in / Sign up

Export Citation Format

Share Document