scholarly journals Patient and Public Views on Electronic Health Records and Their Uses in the United Kingdom: Cross-Sectional Survey

2013 ◽  
Vol 15 (8) ◽  
pp. e160 ◽  
Author(s):  
Serena A Luchenski ◽  
Julie E Reed ◽  
Cicely Marston ◽  
Chrysanthi Papoutsi ◽  
Azeem Majeed ◽  
...  
Keyword(s):  
United Kingdom ◽  
Electronic Health Records ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Health Records ◽  
The United Kingdom ◽  
Electronic Health ◽  
Public Views

scholarly journals Statins and Risk of Lower Limb Revision Surgery: The Influence of Differences in Study Design Using Electronic Health Records From the United Kingdom and Denmark

2016 ◽  
Vol 184 (1) ◽  
pp. 58-66 ◽  
Author(s):  
Arief Lalmohamed ◽  
Tjeerd P. van Staa ◽  
Peter Vestergaard ◽  
Hubertus G. M. Leufkens ◽  
Anthonius de Boer ◽  
...  
Keyword(s):  
United Kingdom ◽  
Electronic Health Records ◽  
Study Design ◽  
Revision Surgery ◽  
Lower Limb ◽  
Health Records ◽  
The United Kingdom ◽  
Electronic Health

scholarly journals Five key strategic priorities of integrating patient generated health data into United Kingdom electronic health records

2018 ◽  
Vol 25 (4) ◽  
pp. 254-259 ◽  
Author(s):  
Kathrin M. Cresswell ◽  
Brian McKinstry ◽  
Maria Wolters ◽  
Anoop Shah ◽  
Aziz Sheikh
Keyword(s):  
United Kingdom ◽  
Electronic Health Records ◽  
The United States ◽  
Health Data ◽  
Strategic Decisions ◽  
Related Factors ◽  
Health Records ◽  
The United Kingdom ◽  
Policy Frameworks ◽  
Electronic Health

The integration of patient/person generated health data into clinical applications is a widespread aspiration internationally. However, there is still a range of challenges that inhibit progress in this area. These include technology-related factors (such as interoperability), use-related factors (such as data overload) and characteristics of the strategic environment (such as existing standards). Building on important policy deliberations from the United States that aim to navigate these challenges, we here apply emerging policy frameworks to the United Kingdom and outline five key priority areas that are intended to help policymakers make important strategic decisions in attempting to integrate patient/person generated data into electronic health records.

scholarly journals Patient Privacy in a Wired (and Wireless) World: Approaches to Consent in the Context of Electronic Health Records

2016 ◽  
Author(s):  
Nola M Ries
Keyword(s):  
United Kingdom ◽  
Electronic Health Records ◽  
Health Information ◽  
Personal Information ◽  
Patient Privacy ◽  
Legal Requirements ◽  
Health Records ◽  
Policy Initiatives ◽  
The United Kingdom ◽  
Electronic Health

The author reviews recent changes in legislation in Canada and abroad in the area of patient privacy. consent and electronic health records (EHRs). In her overview of Canadian legislation, she examines the existing patchwork of legal requirements, as well as ethical obligations governing health information and policy initiatives aimed at harmonizing approaches across Canada. Internationally, the United Kingdom and Australia are reviewed on how those jurisdictions are addressing the issue of protecting patient privacy while developing operable EHR schemes. The author concludes that as EHR schemes develop, stringency of privacy and consent protections will likely wane in favour of establishing workable systems and. as a consequence, appropriate security mechanisms should be implemented to safeguard personal information.

scholarly journals Challenges of Conducting Economic Evaluations Using Linked Electronic Health Records - CPRD and HES in the United Kingdom

2013 ◽  
Vol 16 (7) ◽  
pp. A580 ◽  
Author(s):  
M. Asaria ◽  
S. Walker ◽  
M.J. Sculpher ◽  
S. Palmer ◽  
A. Manca ◽  
...  
Keyword(s):  
United Kingdom ◽  
Electronic Health Records ◽  
Economic Evaluations ◽  
Health Records ◽  
The United Kingdom ◽  
Electronic Health

The experience of burnout across different surgical specialties in the United Kingdom: A cross-sectional survey

Surgery ◽  
2012 ◽  
Vol 151 (4) ◽  
pp. 493-501 ◽  
Author(s):  
Dominic Upton ◽  
Victoria Mason ◽  
Bethany Doran ◽  
Kazia Solowiej ◽  
Uttam Shiralkar ◽  
...  
Keyword(s):  
United Kingdom ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The United Kingdom

scholarly journals Learning longitudinal patterns and identifying subtypes of pediatric Crohn disease treated with infliximab via trajectory cluster analysis of electronic health records

2021 ◽  
Author(s):  
Andrew Chen ◽  
Ronen Stein ◽  
Robert N. Baldassano ◽  
Jing Huang
Keyword(s):  
Electronic Health Records ◽  
Disease Activity ◽  
Crohn Disease ◽  
Cross Sectional ◽  
Health Records ◽  
Disease Evolution ◽  
Current Classification ◽  
Electronic Health ◽  
Over Time

ABSTRACTBackgroundThe current classification of pediatric CD is mainly based on cross-sectional data. The objective of this study is to identify subgroups of pediatric CD through trajectory cluster analysis of disease activity using data from electronic health records.MethodsWe conducted a retrospective study of pediatric CD patients who had been treated with infliximab. The evolution of disease over time was described using trajectory analysis of longitudinal data of C-Reactive Protein (CRP). Patterns of disease evolution were extracted through functional principal components analysis and subgroups were identified based on those patterns using the Gaussian mixture model. We compared patient characteristics, a biomarker for disease activity, received treatments, and long-term surgical outcomes across subgroups.ResultsWe identified four subgroups of pediatric CD patients with differential relapse-and-remission risk profiles. They had significantly different disease phenotype (p < 0.001), CRP (p < 0.001) and calprotectin (p = 0.037) at diagnosis, with increasing percentage of inflammatory phenotype and declining CRP and fecal calprotectin levels from Subgroup 1 through 4. The risk of colorectal surgery within 10 years after diagnosis was significantly different between groups (p < 0.001). We did not find statistical significance in gender or age at diagnosis across subgroups, but the BMI z-score was slightly smaller in subgroup 1 (p =0.055).ConclusionsReadily available longitudinal data from electronic health records can be leveraged to provide a deeper characterization of pediatric Crohn disease. The identified subgroups captured novel forms of variation in pediatric Crohn disease that were not explained by baseline measurements and treatment information.SummaryThe current classification of pediatric Crohn disease mainly relies on cross-sectional data, e.g., the Paris classification. However, the phenotypic classification may evolve over time after diagnosis. Our study utilized longitudinal measures from the electronic health records and stratified pediatric Crohn disease patients with differential relapse-and-remission risk profiles based on patterns of disease evolution. We found trajectories of well-maintained low disease activity were associated with less severe disease at baseline, early initiation of infliximab treatment, and lower risk of surgery within 10 years of diagnosis, but the difference was not fully explained by phenotype at diagnosis.

Association Between Meaningful Use and Florida Counties’ COVID-19 Case and Death Rates Among Medicaid Providers (Preprint)

2021 ◽  
Author(s):  
Katherine Freeman ◽  
Judith P. Monestime
Keyword(s):  
Electronic Health Records ◽  
Cumulative Incidence ◽  
Meaningful Use ◽  
County Level ◽  
Cross Sectional ◽  
Health Records ◽  
Death Rates ◽  
Public Health Reporting ◽  
Electronic Health ◽  
Population Demographic

BACKGROUND Although the Health Information Technology for Economic and Clinical Health (HITECH) Act has accelerated the adoption of Meaningful Use of Electronic Health Records (EHRs) among Medicaid providers, only about half achieve Meaningful Use. Furthermore, the validity of public health reporting of COVID-19 outcomes, which relies on Meaningful Use advanced functions, remains unknown. OBJECTIVE This study aims to examine the difference between Medicaid providers who did and did not achieve Meaningful Use regarding Florida county-level incidence rates of COVID-19 cases and deaths, accounting for county-level race/ethnicity, unemployment, income, prevalence of respiratory diseases, age, poverty, and healthcare environment. METHODS This cross-sectional ecologic study examined the association between Meaningful Use achievement by Medicaid providers and COVID-19 cases and death rates from 67 Florida counties as of November 19, 2020. Provider information was obtained from the publicly available database from the Florida Medicaid Promoting Interoperability Program, formerly Electronic Health Record Incentive Program. The database includes the Area Health Resources File, capturing provider characteristics and population demographic and socioeconomic characteristics at the county level. Cumulative COVID-19 cases and deaths were obtained from the Florida Department of Health Open Data (FDOH) for zip codes which were aggregated by county. Rates were obtained by dividing cumulative incidence or prevalence by the U.S. Census County population. RESULTS As of November 19, 2020, the cumulative incidence rate of COVID-19 deaths was significantly different between Medicaid providers who achieved Meaningful Use and those who did not (P=.0131), with relatively more deaths reported for those not achieving Meaningful Use. County-level characteristics associated with increased COVID-19 death rates in hierarchical models include greater concentrations of persons of African American or Black race (P<.0001), lower median household income (P<.0001), higher unemployment (P<.0001), and higher concentrations of those living in poverty (P<.0001) and without health insurance (P<.0001). CONCLUSIONS Although Federal subsidies successfully influenced the adoption of Electronic Health Records, our findings suggest an emerging further digital "advanced use" divide among patients cared for by Medicaid providers. Policy interventions need to be reevaluated to address disparities in COVID-19 clinical outcomes which appear exacerbated by the limited use of advanced Electronic Health Records functions. CLINICALTRIAL not applicable

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