scholarly journals Developing a Community-Wide Electronic Health Record Disease Registry in Primary Care Practices: Lessons Learned from the Western New York Beacon Community

2014 ◽  
Vol 2 (3) ◽  
pp. 7
Author(s):  
Arvela R. Heider ◽  
Nancy Maloney ◽  
Nikhil Satchidanand ◽  
Geoff Allen ◽  
Raymond Mueller ◽  
...  
Keyword(s):  
Primary Care ◽  
New York ◽  
Electronic Health Record ◽  
Lessons Learned ◽  
Health Record ◽  
Disease Registry ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

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 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 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 Scaling-up social needs screening in practice: a retrospective, cross-sectional analysis of data from electronic health records from Bronx county, New York, USA

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e053633
Author(s):  
Kevin P Fiori ◽  
Caroline G Heller ◽  
Anna Flattau ◽  
Nicole R Harris-Hollingsworth ◽  
Amanda Parsons ◽  
...  
Keyword(s):  
Primary Care ◽  
New York ◽  
Electronic Health Records ◽  
Social Care ◽  
Social Needs ◽  
Cross Sectional ◽  
Health Records ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

ObjectivesThere has been renewed focus on health systems integrating social care to improve health outcomes with relatively less related research focusing on ‘real-world’ practice. This study describes a health system’s experience from 2018 to 2020, following the successful pilot in 2017, to scale social needs screening of patients within a large urban primary care ambulatory network.SettingAcademic medical centre with an ambulatory network of 18 primary care practices located in an urban county in New York City (USA).ParticipantsThis retrospective, cross-sectional study used electronic health records of 244 764 patients who had a clinical visit between 10 April 2018 and 8 December 2019 across any one of 18 primary care practices.MethodsWe organised measures using the RE-AIM framework domains of reach and adoption to ascertain the number of patients who were screened and the number of providers who adopted screening and associated documentation, respectively. We used descriptive statistics to summarise factors comparing patients screened versus those not screened, the prevalence of social needs screening and adoption across 18 practices.ResultsBetween April 2018 and December 2019, 53 093 patients were screened for social needs, representing approximately 21.7% of the patients seen. Almost one-fifth (19.6%) of patients reported at least one unmet social need. The percentage of screened patients varied by both practice location (range 1.6%–81.6%) and specialty within practices. 51.8% of providers (n=1316) screened at least one patient.ConclusionsThese findings demonstrate both the potential and challenges of integrating social care in practice. We observed significant variability in uptake across the health system. More research is needed to better understand factors driving adoption and may include harmonising workflows, establishing unified targets and using data to drive improvement.

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