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The agreement and internal consistency of national hospital EMR measures

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Abstract

There has been national focus on increasing the use of electronic medical records (EMR) in hospitals because of their potential to improve care. Previous research has examined EMR use and reported an inconsistent relationship between EMR use and performance. This study examines the agreement between and the internal consistency of two national datasets that measure hospital EMR use. Data include the Health Information Management Systems Society (HIMSS) and the American Hospital Association (AHA). This analysis is essential to determine the strength and challenges of the nationally available EMR measures that are used in research, which informs national policy and practice. The results show very poor agreement between the two national datasets on hospital EMR use. The datasets demonstrate some internal consistency. In the absence of a gold standard measure of EMR use, researchers must be aware of the limitations of national EMR measures, and future research may validate the datasets.

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References

  1. Jha A, DesRoches C, Kralovec Pl, Joshi M (2010) A progress report on electronic health records in U.S. Hospitals. Health Aff 29(10):1951–1957

    Article  Google Scholar 

  2. Jha AK, DesRoches CM, Campbell EG, Donelan K, Rao SR, Ferris TG, Blumenthal D (2009) Use of electronic health records in U.S. hospitals. N Engl J Med 360:1628–1638

    Article  Google Scholar 

  3. Congressional Budget Office (2008) Evidence on the costs and benefits of health informationtechnology. Author, Washington, DC

    Google Scholar 

  4. Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, Taylor R (2005) Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff 24:1103–1117

    Article  Google Scholar 

  5. Brailer DG (2005) Interoperability: the key to the future health care system interoperability will bind together a wide network of real-time, life-critical data that not only transform but become health care. Health Affairs WebExclusive W5-19-W5-21

  6. Bates D (2002) The quality case for information technology in health care. BMC Med Inform Decis Mak 2(7)

  7. Aspen P, Corrigan JM, Wolcott J, Erickson SM (eds) (2004) Patient safety: Achieving a new standard for care (Quality Chasm series.) Washington. National Academies Press, D.C

    Google Scholar 

  8. Chaudhry B, Wang J, Wu SY, Maglione M, Mojica W, Roth E, Shekelle PG (2006) Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 144:742–752

    Google Scholar 

  9. Deckelbaum DL, Feinstein AJ, Schulman CI, Augenstein JS, Murtha MF, Livingstone AS, McKenney MG (2009) Electronic medical records and mortality in trauma patients. J Trauma 67(3):634–636

    Article  Google Scholar 

  10. Poissant L, Pereira J, Tamblyn R, Kawasumi Y (2005) The impact of electronic healthrecords on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc 12:505–516

    Article  Google Scholar 

  11. Vishwanath A, Singh SR, Winkelstein P (2010) The impact of electronic medical records systems on outpatient workflows: a longitudinal evaluation of its workflow effects. Int J Med Inform 79(11):778–791

    Article  Google Scholar 

  12. Orrico KB (2008) Sources and types of discrepancies between electronic medical records and actual outpatient medication use. J Manage Care Pharm 14(7):626–631

    Google Scholar 

  13. Kazley AS, Ozcan YA (2008) Does hospital electronic medical record use increase health care quality? An examination of three clinical conditions. Med Care Res Rev 65(4):496–513

    Article  Google Scholar 

  14. McCullough JS, Casey M, Moscovice I, Prasad S (2010) The effect of health information technology on quality in U.S. hospitals. Health Aff 29(4):647–654

    Article  Google Scholar 

  15. Blavin FE, Buntin MJ, Friedman CP (2010) Alternative measures of electronic health record adoption among hospitals. Am J Managed Care 16:e293–e301

    Google Scholar 

  16. HIMSS Analytics. http://www.himssanalytics.org/solution_providers/products_database.asp Accessed 4/18/11

  17. Rosner B (2006) Fundamentals of biostatistics. Thomson Higher Education, Belmont, CA

    Google Scholar 

  18. American Hospital Association (2010) Data collection methodology and history. Retrieved December 1, 2010, from http://www.ahadata.com/ahadata/html/historymethodology.html

  19. Blumenthal D, Tavenner M (2010) The “meaningful use” regulation for electronic health records. N Engl J Med 363:501–504

    Article  Google Scholar 

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Correspondence to Abby Swanson Kazley.

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Kazley, A.S., Diana, M.L. & Menachemi, N. The agreement and internal consistency of national hospital EMR measures. Health Care Manag Sci 14, 307–313 (2011). https://doi.org/10.1007/s10729-011-9165-8

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  • DOI: https://doi.org/10.1007/s10729-011-9165-8

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