scholarly journals Identifying Adolescent Suicide Risk via Depression Screening in Pediatric Primary Care: An Electronic Health Record Review

2020 ◽  
pp. appi.ps.2020002
Author(s):  
Molly Davis ◽  
Victoria Rio ◽  
Alyssa M. Farley ◽  
Morgan L. Bush ◽  
Rinad S. Beidas ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Suicide Risk ◽  
Adolescent Suicide ◽  
Depression Screening ◽  
Pediatric Primary Care ◽  
Health Record ◽  
Electronic Health ◽  
Record Review ◽  
Adolescent Suicide Risk

scholarly journals Differences in Clinician Electronic Health Record Use Across Adult and Pediatric Primary Care Specialties

2021 ◽  
Vol 4 (7) ◽  
pp. e2116375
Author(s):  
Lisa S. Rotenstein ◽  
A. Jay Holmgren ◽  
N. Lance Downing ◽  
Christopher A. Longhurst ◽  
David W. Bates
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Pediatric Primary Care ◽  
Health Record ◽  
Electronic Health

Measuring the Impact of Electronic Health Record Adoption on Charge Capture

2016 ◽  
Vol 74 (5) ◽  
pp. 582-594 ◽  
Author(s):  
Nicholas Edwardson ◽  
Bita A. Kash ◽  
Ramkumar Janakiraman
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Fixed Effects ◽  
Pediatric Primary Care ◽  
Health Record ◽  
Care Network ◽  
Collection Data ◽  
Ehr Adoption ◽  
Electronic Health ◽  
The Impact

We examine the impact of electronic health record (EHR) adoption on charge capture—the ability of providers to properly ensure that billable services are accurately recorded and reported for payment. Drawing on billing and practice management data from a large, integrated pediatric primary care network that was previously a paper-based organization, monthly encounter, charge, and collection data were collected from 2008 through 2013. Two-level fixed effects models were built to test the impact of EHR adoption on charge capture. The introduction of the EHR to the pediatric primary care network was independently associated with an $11.09 increase in average per patient charges, an $11.49 increase in average per patient collections, and an improvement in physicians’ charge-to-collection ratios. Despite high initial outlays and operating costs related to EHR adoption, these results suggest organizations may recoup many of these costs over the long term.

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 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

scholarly journals Comparing Electronic Health Record Portals to Obtain Patient-Entered Family Health History in Primary Care

2013 ◽  
Vol 28 (12) ◽  
pp. 1558-1564 ◽  
Author(s):  
Michael F. Murray ◽  
Monica A. Giovanni ◽  
Elissa Klinger ◽  
Elise George ◽  
Lucas Marinacci ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Family Health ◽  
Family Health History ◽  
Health Record ◽  
Health History ◽  
Electronic Health
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