Literature DB >> 22071528

The impact of electronic health records on care of heart failure patients in the emergency room.

Donald P Connelly1, Young-Taek Park, Jing Du, Nawanan Theera-Ampornpunt, Bradley D Gordon, Barry A Bershow, Raymond A Gensinger, Michael Shrift, Daniel T Routhe, Stuart M Speedie.   

Abstract

OBJECTIVE: To evaluate if electronic health records (EHR) have observable effects on care outcomes, we examined quality and efficiency measures for patients presenting to emergency departments (ED).
MATERIALS AND METHODS: We conducted a retrospective study of 5166 adults with heart failure in three metropolitan EDs. Patients were termed internal if prior information was in the EHR upon ED presentation, otherwise external. Associations of internality with hospitalization, mortality, length of stay (LOS), and numbers of tests, procedures, and medications ordered in the ED were examined after adjusting for age, gender, race, marital status, comorbidities and hospitalization as a proxy for acuity level where appropriate.
RESULTS: At two EDs internals had lower odds of mortality if hospitalized (OR 0.55; 95% CI 0.38 to 0.81 and 0.45; 0.21 to 0.96), fewer laboratory tests during the ED visit (-4.6%; -8.9% to -0.1% and -14.0%; -19.5% to -8.1%) as well as fewer medications (-33.6%; -38.4% to -28.4% and -21.3%; -33.2% to -7.3%). At one of these two EDs, internals had lower odds of hospitalization (0.37; 0.22 to 0.60). At the third ED, internal patients only experienced a prolonged ED LOS (32.3%; 6.3% to 64.8%) but no other differences. There was no association with hospital LOS or number of procedures ordered. DISCUSSION: EHR availability was associated with salutary outcomes in two of three ED settings and prolongation of ED LOS at a third, but evidence was mixed and causality remains to be determined.
CONCLUSIONS: An EHR may have the potential to be a valuable adjunct in the care of heart failure patients.

Entities:  

Mesh:

Year:  2011        PMID: 22071528      PMCID: PMC3341780          DOI: 10.1136/amiajnl-2011-000271

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  27 in total

1.  What do ER physicians really want? A method for elucidating ER information needs.

Authors:  I Shablinsky; J Starren; C Friedman
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  Clinical information systems: instant ubiquitous clinical data for error reduction and improved clinical outcomes.

Authors:  Craig F Feied; Jonathan A Handler; Mark S Smith; Michael Gillam; Meera Kanhouwa; Todd Rothenhaus; Keith Conover; Tony Shannon
Journal:  Acad Emerg Med       Date:  2004-11       Impact factor: 3.451

3.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

4.  The use of count data models in biomedical informatics evaluation research.

Authors:  Jing Du; Young-Taek Park; Nawanan Theera-Ampornpunt; Jeffrey S McCullough; Stuart M Speedie
Journal:  J Am Med Inform Assoc       Date:  2011-06-29       Impact factor: 4.497

5.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

6.  A randomized, controlled trial of clinical information shared from another institution.

Authors:  J Marc Overhage; Paul R Dexter; Susan M Perkins; William H Cordell; John McGoff; Roland McGrath; Clement J McDonald
Journal:  Ann Emerg Med       Date:  2002-01       Impact factor: 5.721

Review 7.  Evaluating informatics applications--some alternative approaches: theory, social interactionism, and call for methodological pluralism.

Authors:  B Kaplan
Journal:  Int J Med Inform       Date:  2001-11       Impact factor: 4.046

8.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

9.  Reduction of redundant laboratory orders by access to computerized patient records.

Authors:  T O Stair
Journal:  J Emerg Med       Date:  1998 Nov-Dec       Impact factor: 1.484

10.  Prevalence of information gaps in the emergency department and the effect on patient outcomes.

Authors:  Andrew Stiell; Alan J Forster; Ian G Stiell; Carl van Walraven
Journal:  CMAJ       Date:  2003-11-11       Impact factor: 8.262

View more
  7 in total

1.  Using electronic medical record systems for admission decisions in emergency departments: examining the crowdedness effect.

Authors:  Ofir Ben-Assuli; Moshe Leshno; Itamar Shabtai
Journal:  J Med Syst       Date:  2012-04-25       Impact factor: 4.460

2.  Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.

Authors:  Jyotishman Pathak; Abel N Kho; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2013-12       Impact factor: 4.497

3.  The Impact of an Enterprise Electronic Medical Record (EEMR) Model vs a Clinical Information System (CIS) Model on Usability, Efficiency, and Adaptability.

Authors:  Ali Besiso; Jon D Patrick; Gard Dip; Vickie Ho; Yuzhong Cheng
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

4.  Care everywhere, a point-to-point HIE tool: utilization and impact on patient care in the ED.

Authors:  T J Winden; L L Boland; N G Frey; P A Satterlee; J S Hokanson
Journal:  Appl Clin Inform       Date:  2014-04-16       Impact factor: 2.342

5.  The impact of electronic health records on people with diabetes in three different emergency departments.

Authors:  Stuart M Speedie; Young-Taek Park; Jing Du; Nawanan Theera-Ampornpunt; Barry A Bershow; Raymond A Gensinger; Daniel T Routhe; Donald P Connelly
Journal:  J Am Med Inform Assoc       Date:  2013-07-10       Impact factor: 4.497

6.  Impact of Health Information Exchange on Emergency Medicine Clinical Decision Making.

Authors:  Bradley D Gordon; Kyle Bernard; Josh Salzman; Robin R Whitebird
Journal:  West J Emerg Med       Date:  2015-12-14

7.  [Information on medical history in the emergency department : Influence on therapy and diagnostic decisions].

Authors:  M Lorsbach; A Gillessen; K Revering; C Juhra
Journal:  Med Klin Intensivmed Notfmed       Date:  2020-02-10       Impact factor: 0.840

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.