The prevalence of hypertension in multiple sclerosis based on 37 million electronic health records from the United States

2020 ◽  
Author(s):  
F. B. S. Briggs ◽  
E. Hill ◽  
H. Abboud
Keyword(s):  
United States ◽  
Multiple Sclerosis ◽  
Electronic Health Records ◽  
The United States ◽  
Health Records ◽  
Electronic Health

scholarly journals 1665. Using Electronic Health Records to Describe TB in Community Health Settings: a Cohort Analysis in a Large Safety-Net Population

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S819-S820
Author(s):  
Jonathan Todd ◽  
Jon Puro ◽  
Matthew Jones ◽  
Jee Oakley ◽  
Laura A Vonnahme ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Electronic Health Records ◽  
Safety Net ◽  
The United States ◽  
Research Network ◽  
Health Records ◽  
Treatment Regimens ◽  
Data Source ◽  
Electronic Health

Abstract Background Over 80% of tuberculosis (TB) cases in the United States are attributed to reactivation of latent TB infection (LTBI). Eliminating TB in the United States requires expanding identification and treatment of LTBI. Centralized electronic health records (EHRs) are an unexplored data source to identify persons with LTBI. We explored EHR data to evaluate TB and LTBI screening and diagnoses within OCHIN, Inc., a U.S. practice-based research network with a high proportion of Federally Qualified Health Centers. Methods From the EHRs of patients who had an encounter at an OCHIN member clinic between January 1, 2012 and December 31, 2016, we extracted demographic variables, TB risk factors, TB screening tests, International Classification of Diseases (ICD) 9 and 10 codes, and treatment regimens. Based on test results, ICD codes, and treatment regimens, we developed a novel algorithm to classify patient records into LTBI categories: definite, probable or possible. We used multivariable logistic regression, with a referent group of all cohort patients not classified as having LTBI or TB, to identify associations between TB risk factors and LTBI. Results Among 2,190,686 patients, 6.9% (n=151,195) had a TB screening test; among those, 8% tested positive. Non-U.S. –born or non-English–speaking persons comprised 24% of our cohort; 11% were tested for TB infection, and 14% had a positive test. Risk factors in the multivariable model significantly associated with being classified as having LTBI included preferring non-English language (adjusted odds ratio [aOR] 4.20, 95% confidence interval [CI] 4.09–4.32); non-Hispanic Asian (aOR 5.17, 95% CI 4.94–5.40), non-Hispanic black (aOR 3.02, 95% CI 2.91–3.13), or Native Hawaiian/other Pacific Islander (aOR 3.35, 95% CI 2.92–3.84) race; and HIV infection (aOR 3.09, 95% CI 2.84–3.35). Conclusion This study demonstrates the utility of EHR data for understanding TB screening practices and as an important data source that can be used to enhance public health surveillance of LTBI prevalence. Increasing screening among high-risk populations remains an important step toward eliminating TB in the United States. These results underscore the importance of offering TB screening in non-U.S.–born populations. Disclosures All Authors: No reported disclosures

scholarly journals Adoption of Electronic Health Records and Perceptions of Financial and Clinical Outcomes Among Ophthalmologists in the United States

2018 ◽  
Vol 136 (2) ◽  
pp. 164 ◽  
Author(s):  
Michele C. Lim ◽  
Michael V. Boland ◽  
Colin A. McCannel ◽  
Arvind Saini ◽  
Michael F. Chiang ◽  
...  
Keyword(s):  
United States ◽  
Electronic Health Records ◽  
Clinical Outcomes ◽  
The United States ◽  
Health Records ◽  
Electronic Health

scholarly journals Impact of Obesity on Outcomes of Patients With Coronavirus Disease 2019 in the United States: A Multicenter Electronic Health Records Network Study

2020 ◽  
Vol 159 (6) ◽  
pp. 2221-2225.e6 ◽  
Author(s):  
Shailendra Singh ◽  
Mohammad Bilal ◽  
Haig Pakhchanian ◽  
Rahul Raiker ◽  
Gursimran S. Kochhar ◽  
...  
Keyword(s):  
United States ◽  
Electronic Health Records ◽  
The United States ◽  
Health Records ◽  
Electronic Health

scholarly journals Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study

2018 ◽  
Vol 25 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Mark Chun Moon ◽  
Rebecca Hills ◽  
George Demiris
Keyword(s):  
United States ◽  
Qualitative Study ◽  
Electronic Health Records ◽  
Hospital Setting ◽  
The United States ◽  
Theory Approach ◽  
Health Records ◽  
High Performing ◽  
Advisory Groups ◽  
Electronic Health

BackgroundLittle is known about optimisation of electronic health records (EHRs) systems in the hospital setting while adoption of EHR systems continues in the United States.ObjectiveTo understand optimisation processes of EHR systems undertaken in leading healthcare organisations in the United States.MethodsInformed by a grounded theory approach, a qualitative study was undertaken that involved 11 in-depth interviews and a focus group with the EHR experts from the high performing healthcare organisations across the United States.ResultsThe study describes EHR optimisation processes characterised by prioritising exponentially increasing requests with predominant focus on improving efficiency of EHR, building optimisation teams or advisory groups and standardisation. The study discusses 16 types of optimisation that interdependently produced 16 results along with identifying 11 barriers and 20 facilitators to optimisation.ConclusionsThe study describes overall experiences of optimising EHRs in select high performing healthcare organisations in the US. The findings highlight the importance of optimising the EHR after, and even before, go-live and dedicating resources exclusively for optimisation.

Legal and Ethical Considerations in the Implementation of Electronic Health Records

2017 ◽  
pp. 960-973
Author(s):  
Karen Ervin
Keyword(s):  
United States ◽  
Electronic Health Records ◽  
Relevant Literature ◽  
Database Systems ◽  
The United States ◽  
Patient Privacy ◽  
Health Records ◽  
Electronic Health ◽  
Health Database ◽  
State Library

This chapter examines the literature of healthcare in the United States during the transitioning to electronic records. Key government legislation, such as the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health Act (HITECH), which were part of the American Recovery and Reinvestment Act (ARRA) and the Affordable Health Care Act, are reviewed. The review concentrates on patient privacy issues, how they have been addressed in these acts, and what recommendations for improvement have been found in the literature. A comparison of the adoption of electronic health records on a nationwide scale in three countries is included. England, Australia, and the United States are all embarking in and are at different stages of implementing nationwide electronic health database systems. The resources used in locating relevant literature were PubMed, Medline, Highwire Press, State Library of Pennsylvania, and Google Scholar databases.

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