Literature DB >> 24408676

Improving cardiovascular outcomes using electronic health records.

Mazen Roumia1, Steven Steinhubl.   

Abstract

Improving quality of care through the enhanced use of digital technologies is becoming an increasingly primary focus of the health care industry in general and cardiovascular (CV) medicine in particular. The recent rapid adoption of electronic health records (EHR) has the potential to improve the management of CV disease by removing variability and assuring at least consideration of guideline-recommended care and appropriate use criteria. This can lead to improved cardiac outcomes at all phases of care; beginning with the automated identification of patients who are at increased risk, implementing evidence based medicine for primary CV prevention, using online decision support tools for acute management, and, possibly most importantly, by connecting the health care provider and the patient through open accessibility to their EHR. The widespread use of EHR is the dawn of a new era where evidence based guidelines can be seamlessly translated to patient care and where patients are actively involved in their own health. As transformative as this will be, it is important to recognize that we are currently experiencing only the very earliest potential of the EHR in improving CV outcomes.

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Year:  2014        PMID: 24408676     DOI: 10.1007/s11886-013-0451-6

Source DB:  PubMed          Journal:  Curr Cardiol Rep        ISSN: 1523-3782            Impact factor:   2.931


  28 in total

1.  The quality of health care delivered to adults in the United States.

Authors:  Elizabeth A McGlynn; Steven M Asch; John Adams; Joan Keesey; Jennifer Hicks; Alison DeCristofaro; Eve A Kerr
Journal:  N Engl J Med       Date:  2003-06-26       Impact factor: 91.245

2.  American College of Cardiology and American Heart Association methodology for the selection and creation of performance measures for quantifying the quality of cardiovascular care.

Authors:  John A Spertus; Kim A Eagle; Harlan M Krumholz; Kristi R Mitchell; Sharon-Lise T Normand
Journal:  J Am Coll Cardiol       Date:  2005-04-05       Impact factor: 24.094

3.  Information technology comes to medicine.

Authors:  David Blumenthal; John P Glaser
Journal:  N Engl J Med       Date:  2007-06-14       Impact factor: 91.245

4.  Electronic health records, clinical decision support, and blood pressure control.

Authors:  Lipika Samal; Jeffrey A Linder; Stuart R Lipsitz; Leroi S Hicks
Journal:  Am J Manag Care       Date:  2011-09       Impact factor: 2.229

5.  Data quality of an electronic health record tool to support VA cardiac catheterization laboratory quality improvement: the VA Clinical Assessment, Reporting, and Tracking System for Cath Labs (CART) program.

Authors:  James Brian Byrd; Rebecca Vigen; Mary E Plomondon; John S Rumsfeld; Tamára L Box; Stephan D Fihn; Thomas M Maddox
Journal:  Am Heart J       Date:  2013-01-19       Impact factor: 4.749

6.  Electronic health records and quality of care for heart failure.

Authors:  Mary Norine Walsh; Clyde W Yancy; Nancy M Albert; Anne B Curtis; Wendy Gattis Stough; Mihai Gheorghiade; J Thomas Heywood; Mark L McBride; Mandeep R Mehra; Christopher M O'Connor; Dwight Reynolds; Gregg C Fonarow
Journal:  Am Heart J       Date:  2010-04       Impact factor: 4.749

7.  Association of online patient access to clinicians and medical records with use of clinical services.

Authors:  Ted E Palen; Colleen Ross; J David Powers; Stanley Xu
Journal:  JAMA       Date:  2012-11-21       Impact factor: 56.272

8.  Modified metabolic syndrome criteria for identification of patients at risk of developing diabetes and coronary heart diseases: longitudinal assessment via electronic health records.

Authors:  Marie-France Hivert; Francis Dusseault-Bélanger; Alan Cohen; Josiane Courteau; Alain Vanasse
Journal:  Can J Cardiol       Date:  2012-05-01       Impact factor: 5.223

9.  Clinical Features of Emergency Department Patients Presenting with Symptoms Suggestive of Acute Cardiac Ischemia: A Multicenter Study.

Authors: 
Journal:  J Thromb Thrombolysis       Date:  1998-07       Impact factor: 2.300

10.  Improved cardiovascular risk prediction using nonparametric regression and electronic health record data.

Authors:  Edward H Kennedy; Wyndy L Wiitala; Rodney A Hayward; Jeremy B Sussman
Journal:  Med Care       Date:  2013-03       Impact factor: 2.983

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  4 in total

1.  Modifying the electronic health record to facilitate the implementation and evaluation of a bundled care program for intensive care unit delirium.

Authors:  Ashley W Collinsworth; Andrew L Masica; Elisa L Priest; Candice D Berryman; Maria Kouznetsova; Oscar Glorioso; Donna Montgomery
Journal:  EGEMS (Wash DC)       Date:  2014-12-18

2.  Active Use of Electronic Health Records (EHRs) and Personal Health Records (PHRs) for Epidemiologic Research: Sample Representativeness and Nonresponse Bias in a Study of Women During Pregnancy.

Authors:  Julie K Bower; Claire E Bollinger; Randi E Foraker; Darryl B Hood; Abigail B Shoben; Albert M Lai
Journal:  EGEMS (Wash DC)       Date:  2017-02-23

3.  Health Disparities in Hepatitis C Screening and Linkage to Care at an Integrated Health System in Southeast Michigan.

Authors:  Kassem Bourgi; Indira Brar; Kimberly Baker-Genaw
Journal:  PLoS One       Date:  2016-08-15       Impact factor: 3.240

Review 4.  Electronic health records to facilitate clinical research.

Authors:  Martin R Cowie; Juuso I Blomster; Lesley H Curtis; Sylvie Duclaux; Ian Ford; Fleur Fritz; Samantha Goldman; Salim Janmohamed; Jörg Kreuzer; Mark Leenay; Alexander Michel; Seleen Ong; Jill P Pell; Mary Ross Southworth; Wendy Gattis Stough; Martin Thoenes; Faiez Zannad; Andrew Zalewski
Journal:  Clin Res Cardiol       Date:  2016-08-24       Impact factor: 5.460

  4 in total

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