scholarly journals Prevalence of High-Risk Cardiovascular Conditions and the Status of Hypertension Management Among Hypertensive Adults 65 Years and Older in the United States: Analysis of a Primary Care Electronic Medical Records Database

2010 ◽  
Vol 12 (12) ◽  
pp. 935-944 ◽  
Author(s):  
Joseph E. Biskupiak ◽  
Jaewhan Kim ◽  
Hemant Phatak ◽  
David Wu
Keyword(s):  
United States ◽  
Primary Care ◽  
High Risk ◽  
Electronic Medical Records ◽  
Medical Records ◽  
The United States ◽  
Hypertension Management ◽  
The Status

scholarly journals Incidence of bone metastases in patients with solid tumors: analysis of oncology electronic medical records in the United States

BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Rohini K. Hernandez ◽  
Sally W. Wade ◽  
Adam Reich ◽  
Melissa Pirolli ◽  
Alexander Liede ◽  
...  
Keyword(s):  
United States ◽  
Bone Metastases ◽  
Solid Tumors ◽  
Electronic Medical Records ◽  
Medical Records ◽  
The United States

Psychological, Social and Technical Factors Influencing Electronic Medical Records Systems Adoption by U.S. Physicians: A Systematic Model

2020 ◽  
Author(s):  
Raghid El-Yafouri ◽  
Leslie Klieb ◽  
Valérie Sabatier
Keyword(s):  
United States ◽  
Health Care ◽  
Medical Care ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Service Providers ◽  
Financial Burden ◽  
The United States ◽  
Care Providers ◽  
Intention To Adopt

Abstract Background: Wide adoption of electronic medical records (EMR) systems in the United States can lead to better quality medical care at a lower cost. Despite the laws and financial subsidies by the U.S. government for service providers and suppliers, the adoption has been slow. Understanding the EMR adoption drivers for physicians and the role of policymaking can translate into increased adoption rate and enhanced information sharing between medical care providers. Methods: Physicians across the United States were surveyed to gather primary data on their psychological, social, and technical perceptions toward EMR systems. This quantitative study builds on the Theory of Planned Behavior, the Technology Acceptance Model, and the Diffusion of Innovation theory to propose, test, and validate an innovation adoption model for the health care industry. 382 responses were collected and data were analyzed via linear regression to uncover the effects of 12 variables on the intention to adopt EMR systems.Results: Regression model testing uncovers that government policymaking or mandates and other social factors have little or negligible effect on physicians’ intention to adopt an innovation. Rather, physicians are directly driven by their attitudes and ability to control, and indirectly motivated by their knowledge of the innovation, the financial ability to acquire the system, the holistic benefits to their industry, and the relative advancement of the system compared to others.Conclusions: A unidirectional mandate from the government is not sufficient for physicians to adopt an innovation. Government, health care associations, and EMR system vendors can benefit from our findings by working toward increasing the physicians’ knowledge of the proposed innovation, socializing how medical care providers and the overall industry can benefit from EMR system adoption, and solving for the financial burden of system implementation and sustainment.

scholarly journals Patterns of statin use and cholesterol goal attainment in a high-risk cardiovascular population: A retrospective study of primary care electronic medical records

2016 ◽  
Vol 10 (1) ◽  
pp. 134-142 ◽  
Author(s):  
Maria García-Gil ◽  
Jordi Blanch ◽  
Marc Comas-Cufí ◽  
Josep Daunis-i-Estadella ◽  
Bonaventura Bolíbar ◽  
...  
Keyword(s):  
Primary Care ◽  
Retrospective Study ◽  
High Risk ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Goal Attainment ◽  
Cholesterol Goal ◽  
Statin Use

scholarly journals The Effect of Electronic Medical Records on Nurses’ Job Satisfaction: A Multi-Year Analysis

2021 ◽  
Vol 4 (3) ◽  
pp. p1
Author(s):  
William G. Johnson ◽  
Perry M. Gee ◽  
Lesly A. Kelly ◽  
Richard J. Butler
Keyword(s):  
United States ◽  
Job Satisfaction ◽  
Electronic Medical Records ◽  
Medical Records ◽  
The United States ◽  
Negative Effects ◽  
Cross Sectional ◽  
Rates Of Change ◽  
Registered Nursing ◽  
Over Time

To measure nurses’ rankings of their electronic medical records (EMRs) on their job satisfaction over time, a retrospective analysis of a set of cross sectional data from a survey conducted by the United States’ California Registered Nursing Board in 2008, 2010, 2012, 2014, and 2016. Approximately 4,500 nurses ranked the usefulness of their EMRs in each of the five years.The EMR rankings increased steadily between 2008 and 2016 but the changes are small and the rates of change are very slow, suggesting that the problems with EMRs have been difficult to solve. The results show EMRs have a large impact: a one category increase in EMR rankings increased job satisfaction by as much as or slightly more than one-third for hospital and non-hospital nurses.The size of the effects and their persistence over eight years imply a substantial loss from poorly designed EMRs, and one which could have been avoided had EMR designs more closely matched nurses’ day to day work. The reductions in job satisfaction and potential effects on burnout are losses to be added to the more widely measured losses in productivity and negative effects of EMRs on patient-provider relationships.

scholarly journals Identification, Evaluation, and Treatment of Patients with Hereditary Cancer Risk within the United States

ISRN Oncology ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Deborah Cragun ◽  
Tuya Pal
Keyword(s):  
United States ◽  
Primary Care ◽  
Genetic Testing ◽  
High Risk ◽  
Cancer Risk ◽  
Patient Outcomes ◽  
Primary Care Providers ◽  
The United States ◽  
Care Providers ◽  
Risk Patients

Recognizing the importance of identifying patients at high risk for inherited cancer predisposition, the United States Preventive Services Task Force (USPSTF) has outlined specific family history patterns associated with an increased risk for BRCA mutations. However, national data indicate a need to facilitate the ability of primary care providers to appropriately identify high risk patients. Once a patient is identified as high risk, it is necessary for the patient to undergo a detailed genetics evaluation to generate a differential diagnosis, determine a cost-effective genetic testing strategy, and interpret results of testing. With identification of inherited predisposition, risk management strategies in line with national guidelines can be implemented to improve patient outcomes through cancer risk reduction and early detection. As use of genetic testing increasingly impacts patient outcomes, the role of primary care providers in the identification and care of individuals at high risk for hereditary cancer becomes even more important. Nevertheless it should be acknowledged that primary care providers face many competing demands and challenges to identify high risk patients. Therefore initiatives which promote multidisciplinary and coordinated care, potentially through academic-community partnerships, may provide an opportunity to enhance care of these patients.

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