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

Journal of the American Medical Informatics Association

Volumn 19, Issue 3, 2012, Pages 334-340

  Connelly, Donald P ^a,b   Park, Young Taek ^c   Du, Jing ^d   Theera Ampornpunt, Nawanan ^b,e   Gordon, Bradley D ^f,g   Bershow, Barry A ^h   Gensinger, Raymond A ^b,i   Shrift, Michael ^j   Routhe, Daniel T ^a   Speedie, Stuart M ^b  

^a UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c Health Insurance Review Agency   (South Korea)

^d UNIVERSITY OF MINNESOTA   (United States)

^e MAHIDOL UNIVERSITY   (Thailand)

^f REGIONS HOSPITAL   (United States)

^g HEALTHPARTNERS INSTITUTE   (United States)

^h Bershow Consulting   (United States)

ⁱ UNIV OF MINNESOTA HOSP AND CLINIC   (United States)

^j Allina Hospitals & Clinics   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; COMORBIDITY; CONTROLLED STUDY; ELECTRONIC MEDICAL RECORD; EMERGENCY WARD; FEMALE; HEALTH CARE QUALITY; HEART FAILURE; HOSPITALIZATION; HUMAN; LABORATORY TEST; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MARRIAGE; MORTALITY; OUTCOME ASSESSMENT; PATIENT CARE; RETROSPECTIVE STUDY;

EID: 84862588879     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000271     Document Type: Article

References (28)

1. Clancy CM. Care transitions: a threat and an opportunity for patient safety. Am J Med Qual 2006;21:415e17.
2. Stiell A, Forster AJ, Stiell IG, et al. Prevalence of information gaps in the emergency department and the effect on patient outcomes. CMAJ 2003;169:1023e8.
3. Shapiro JS, Kannry J, Kushniruk AW, et al. Emergency physicians' perceptions of health information exchange. J Am Med Inform Assoc 2007;14:700e5.
4. Feied CF, Handler JA, Smith MS, et al. Clinical information systems: instant ubiquitous clinical data for error reduction and improved clinical outcomes. Acad Emerg Med 2004;11:1162e9.
5. Shapiro JS, Kannry J, Lipton M, et al. Approaches to patient health information exchange and their impact on emergency medicine. Ann Emerg Med 2006;48:426e32.
6. Blumenthal D. Launching HITECH. N Engl J Med 2010;362:382e5.
7. Overhage JM, Dexter PR, Perkins SM, et al. A randomized, controlled trial of clinical information shared from another institution. Ann Emerg Med 2002;39:14e23.
8. Johnson KB, Gadd CS, Aronsky D, et al. The MidSouth eHealth Alliance: use and impact in the first year. AMIA Annu Symp Proc 2008:333e7.
9. Vest JR. Health information exchange and healthcare utilization. J Med Syst 2009;33:223e31.
10. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare Fee-for-service Program. N Engl J Med 2009;360:1418e28.
11. Dickstein K, Cohen-Solal A, Filippatos G, et al. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2008. Eur J Heart Fail 2008;10:933e89.
12. Jessup M, Abraham WT, Casey DE, et al. 2009 focused update: ACCF/AHA Guidelines for the Diagnosis and Management of Heart Failure in Adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: developed in collaboration with the International Society for Heart and Lung Transplantation. Circulation 2009;119:1977e2016.
13. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longtitudinal studies: development and validation. J Chronic Dis 1987;40:373e83.
14. Charlson ME, Charlson RE, Peterson JC, et al. The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. J Clin Epidemiol 2008;61:1234e40.
15. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 1992;45:613e19.
16. Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005;43:1130e9.
17. Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ 2001;20:461e94.
18. Du J, Park YT, Theera-Ampornpunt N, et al. The use of count data models in biomedical informatics evaluation research. J Am Med Inform Assoc. Published Online First: 29 June 2011. doi:10.1136/amiajnl-2011-000256.
19. Stair TO. Reduction of redundant laboratory orders by access to computerized patient records. J Emerg Med 1998;16:895e7.
20. Theera-Ampornpunt N, Speedie SM, Du J, et al. Impact of prior clinical information in an EHR on care outcomes of emergency patients. AMIA Annu Symp Proc 2009:634e8.
21. Himmelstein DU, Wright A, Woolhandler S. Hospital computing and the costs and quality of care: a national study. Am J Med 2010;123:40e6.
22. DesRoches CM, Campbell EG, Vogeli C, et al. Electronic health records' limited successes suggest more targeted uses. Health Aff (Millwood) 2010;29:639e46.
23. Kaplan B. Evaluating informatics applicationsdsome alternative approaches: theory, social interactionism, and call for methodological pluralism. Int J Med Inform 2001;64:39e56.
24. McCullough JS, Casey M, Moscovice I, et al. The effect of health information technology on quality in U.S. hospitals. Health Aff (Millwood) 2010;29:647e54.
25. Lloyd-Jones D, Adams RJ, Brown TM, et al. Heart disease and stroke statisticsd2010 update: a report from the American Heart Association. Circulation 2010;121:e46e215.
26. Agency for Healthcare Research and Quality. HCUPnet: a tool for identifying, tracking, and analyzing national hospital statistics. 2010. http://hcupnet.ahrq.gov/(accessed 13 Mar 2011).
27. Fernando S, Georgiou A, Holdgate A, et al. Challenges associated with electronic ordering in the emergency department: a study of doctors' experiences. Emerg Med Australas 2009;21:373e8.
28. Shablinsky I, Starren J, Friedman C. What do ER physicians really want? A method for elucidating ER information needs. Proc AMIA Symp 1999:390e4.