scholarly journals Electronic Health Record Impact on Work Burden in Small, Unaffiliated, Community-Based Primary Care Practices

2012 ◽  
Vol 28 (1) ◽  
pp. 107-113 ◽  
Author(s):  
Jenna Howard ◽  
Elizabeth C. Clark ◽  
Asia Friedman ◽  
Jesse C. Crosson ◽  
Maria Pellerano ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Health Record ◽  
Community Based ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices ◽  
Work Burden

scholarly journals Use of electronic health record data from diverse primary care practices to identify and characterize patients’ prescribed common medications

2018 ◽  
Vol 26 (1) ◽  
pp. 172-180 ◽  
Author(s):  
Allison M Cole ◽  
Kari A Stephens ◽  
Imara West ◽  
Gina A Keppel ◽  
Ken Thummel ◽  
...  
Keyword(s):  
Primary Care ◽  
Adverse Events ◽  
Electronic Health Record ◽  
Research Network ◽  
Health Record ◽  
Electronic Health Record Data ◽  
Record Data ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

We use prescription of statin medications and prescription of warfarin to explore the capacity of electronic health record data to (1) describe cohorts of patients prescribed these medications and (2) identify cohorts of patients with evidence of adverse events related to prescription of these medications. This study was conducted in the WWAMI region Practice and Research Network (WPRN)., a network of primary care practices across Washington, Wyoming, Alaska, Montana and Idaho DataQUEST, an electronic data-sharing infrastructure. We used electronic health record data to describe cohorts of patients prescribed statin or warfarin medications and reported the proportions of patients with adverse events. Among the 35,445 active patients, 1745 received at least one statin prescription and 301 received at least one warfarin prescription. Only 3 percent of statin patients had evidence of myopathy; 51 patients (17% of those prescribed warfarin) had a bleeding complication. Primary-care electronic health record data can effectively be used to identify patients prescribed specific medications and patients potentially experiencing medication adverse events.

scholarly journals A typology of electronic health record workarounds in small-to-medium size primary care practices

2014 ◽  
Vol 21 (e1) ◽  
pp. e78-e83 ◽  
Author(s):  
Asia Friedman ◽  
Jesse C Crosson ◽  
Jenna Howard ◽  
Elizabeth C Clark ◽  
Maria Pellerano ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Medium Size ◽  
Health Record ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

Effect of an Electronic Health Record Transition on the Provision of Recommended Well Child Services in Pediatric Primary Care Practices

2019 ◽  
Vol 59 (2) ◽  
pp. 188-197 ◽  
Author(s):  
Geoffrey Binney ◽  
Tamalie Cole-Poklewski ◽  
Tamar Roomian ◽  
Emily K. Trudell ◽  
Jonathan Hatoun ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Preventive Care ◽  
Pediatric Primary Care ◽  
Health Record ◽  
Child Services ◽  
Age Appropriate ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

We sought to determine the effect of transitioning between electronic health record (EHR) systems on the quality of preventive care in a large pediatric primary care network. To study this, we performed a retrospective chart analysis of 42 primary care practices from the Pediatric Physicians’ Organization at Children’s who transitioned EHRs. We reviewed 24 random encounters per week distributed evenly across 6 age categories before, during, and after a transition period. We reviewed encounter documentation for age-appropriate well child services, per American Academy of Pediatrics/Bright Futures guidelines. Logistic regression and statistical process control analysis were used. In the pretransition period, 84.5% of all recommended elements were documented versus 86.4% posttransition ( P = .04). Documentation of age-appropriate anticipatory guidance showed significant positive change (69.0% to 80.2%, P = .005), but it was the only subdomain with a statistically significant increase. These increases suggest that EHR transitions have the opportunity to affect the delivery of preventive care.

scholarly journals Typical Electronic Health Record Use in Primary Care Practices and the Quality of Diabetes Care

2012 ◽  
Vol 10 (3) ◽  
pp. 221-227 ◽  
Author(s):  
J. C. Crosson ◽  
P. A. Ohman-Strickland ◽  
D. J. Cohen ◽  
E. C. Clark ◽  
B. F. Crabtree
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Diabetes Care ◽  
Health Record ◽  
Quality Of Diabetes Care ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

scholarly journals Primary Care Practices’ Abilities And Challenges In Using Electronic Health Record Data For Quality Improvement

2018 ◽  
Vol 37 (4) ◽  
pp. 635-643 ◽  
Author(s):  
Deborah J. Cohen ◽  
David A. Dorr ◽  
Kyle Knierim ◽  
C. Annette DuBard ◽  
Jennifer R. Hemler ◽  
...  
Keyword(s):  
Primary Care ◽  
Quality Improvement ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health Record Data ◽  
Record Data ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

scholarly journals Feasibility and Outcomes of an Electronic Health Record Intervention to Improve Hypertension Management in Immigrant-serving Primary Care Practices

Medical Care ◽  
2019 ◽  
Vol 57 ◽  
pp. S164-S171 ◽  
Author(s):  
Priscilla M. Lopez ◽  
Anna Divney ◽  
Keith Goldfeld ◽  
Jennifer Zanowiak ◽  
Radhika Gore ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Hypertension Management ◽  
Health Record ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

scholarly journals Approaches for combining primary care electronic health record data from multiple sources: a systematic review of observational studies

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037405
Author(s):  
Daniel Dedman ◽  
Melissa Cabecinha ◽  
Rachael Williams ◽  
Stephen J W Evans ◽  
Krishnan Bhaskaran ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Electronic Health Record ◽  
Observational Studies ◽  
Meta Analysis ◽  
Data Sources ◽  
Health Record ◽  
Two Stage ◽  
One Stage ◽  
Electronic Health

ObjectiveTo identify observational studies which used data from more than one primary care electronic health record (EHR) database, and summarise key characteristics including: objective and rationale for using multiple data sources; methods used to manage, analyse and (where applicable) combine data; and approaches used to assess and report heterogeneity between data sources.DesignA systematic review of published studies.Data sourcesPubmed and Embase databases were searched using list of named primary care EHR databases; supplementary hand searches of reference list of studies were retained after initial screening.Study selectionObservational studies published between January 2000 and May 2018 were selected, which included at least two different primary care EHR databases.Results6054 studies were identified from database and hand searches, and 109 were included in the final review, the majority published between 2014 and 2018. Included studies used 38 different primary care EHR data sources. Forty-seven studies (44%) were descriptive or methodological. Of 62 analytical studies, 22 (36%) presented separate results from each database, with no attempt to combine them; 29 (48%) combined individual patient data in a one-stage meta-analysis and 21 (34%) combined estimates from each database using two-stage meta-analysis. Discussion and exploration of heterogeneity was inconsistent across studies.ConclusionsComparing patterns and trends in different populations, or in different primary care EHR databases from the same populations, is important and a common objective for multi-database studies. When combining results from several databases using meta-analysis, provision of separate results from each database is helpful for interpretation. We found that these were often missing, particularly for studies using one-stage approaches, which also often lacked details of any statistical adjustment for heterogeneity and/or clustering. For two-stage meta-analysis, a clear rationale should be provided for choice of fixed effect and/or random effects or other models.

Identifying Factors Predicting Immunization Delay for Children Followed in an Urban Primary Care Network Using an Electronic Health Record

PEDIATRICS ◽  
2006 ◽  
Vol 118 (6) ◽  
pp. e1680-e1686 ◽  
Author(s):  
A. G. Fiks ◽  
E. A. Alessandrini ◽  
A. A. Luberti ◽  
S. Ostapenko ◽  
X. Zhang ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Health Record ◽  
Care Network ◽  
Electronic Health
Sign in / Sign up

Export Citation Format

Share Document