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Research ArticleOriginal Research

Simulation of ICD-9 to ICD-10-CM Transition for Family Medicine: Simple or Convoluted?

Samuel N. Grief, Jesal Patel, Karl M. Kochendorfer, Lee A. Green, Yves A. Lussier, Jianrong Li, Michael Burton and Andrew D. Boyd
The Journal of the American Board of Family Medicine January 2016, 29 (1) 29-36; DOI: https://doi.org/10.3122/jabfm.2016.01.150146
Samuel N. Grief
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
MD
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Jesal Patel
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
BS
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Karl M. Kochendorfer
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
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Lee A. Green
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
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Yves A. Lussier
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
MD
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Jianrong Li
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
MSc
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Michael Burton
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
MSc
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Andrew D. Boyd
From the Departments of Family Medicine (SNG), Biomedical and Health Information Sciences (JP, ADB), and General Internal Medicine (MB), University of Illinois, Chicago; and the Department of Medicine, University of Arizona (YAL, JL).
MD
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References

  1. 1.↵
    1. Meyer H
    . Coding complexity: U.S. health care gets ready for the coming of ICD-10. Health Affairs 2011;30:968–74.
    OpenUrlFREE Full Text
  2. 2.↵
    1. Boyd AD,
    2. Li JJ,
    3. Burton MD,
    4. et al
    . The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools. J Am Med Inform Assoc 2013;20:708–17.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    Legislative and Executive Advocacy Response Network (LEARN): ICD-10 implementation study. Englewood, CO: Medical Group Management Association; June 2013. Available from: http://www.mgma.com/Libraries/Assets/Government%20Affairs/Advocacy/LEARN/ICD-10-LEARN-results-June2013.pdf. Accessed August 11, 2014.
  4. 4.↵
    1. Venepalli NK,
    2. Qamruzzaman Y,
    3. Li JJ,
    4. Lussier YA,
    5. Boyd AD
    . Identifying clinically disruptive International Classification of Diseases 10th Revision Clinical Modification conversions to mitigate financial costs using an online tool. J Oncol Pract 2014;10:97–103.
    OpenUrlAbstract/FREE Full Text
  5. 5.↵
    1. Manchikanti L,
    2. Falco FJ,
    3. Hirsch JA
    . Ready or not! Here comes ICD-10. J Neurointerv Surg 2013;5:86–91.
    OpenUrlAbstract/FREE Full Text
  6. 6.↵
    1. Caskey R,
    2. Zaman J,
    3. Nam H,
    4. et al
    . The transition to ICD-10-CM: challenges for pediatric practice. Pediatrics 2014;134:31–6.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Stack SJ
    . CMS to make ICD-10 transition less disruptive for physicians. AMA Wire. July 06, 2015. Available from: http://www.ama-assn.org/ama/ama-wire/post/cms-icd-10-transition-less-disruptive-physicians. Accessed July 31, 2015.
  8. 8.↵
    1. Bowman S
    . Why ICD-10 is worth the trouble. J AHIMA 2008;79:24–9, quiz 41–2.
    OpenUrlPubMed
  9. 9.↵
    1. Januel JM,
    2. Luthi JC,
    3. Quan H,
    4. et al
    . Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data. BMC Health Serv Res. 2011;11:194.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Quan H,
    2. Li B,
    3. Saunders LD,
    4. et al
    . Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res 2008;43:1424–41.
    OpenUrlCrossRefPubMedWeb of Science
  11. 11.↵
    2014 ICD-10-CM and GEMs. Baltimore: Centers for Medicare & Medicaid Services; 2013. Available from: https://www.cms.gov/Medicare/Coding/ICD10/2014-ICD-10-CM-and-GEMs.html. Accessed March 1, 2014.
  12. 12.↵
    1. Johnson K
    . Implementation of ICD-10: experiences and lessons learned from a Canadian hospital. In: 2004 IFHRO Congress & AHIMA Convention Proceedings, October 2004. Available from: http://library.ahima.org/xpedio/groups/public/documents/ahima/bok3_005558.hcsp?dDocName=bok3_005558. Accessed November 13, 2015.
  13. 13.↵
    1. Innes K,
    2. Peasley K,
    3. Roberts R
    . Ten down under: implementing ICD-10 in Australia. J AHIMA 2000;71:52–6.
    OpenUrlPubMed
  14. 14.↵
    1. Fenton SH,
    2. Stanfill MH,
    3. Beal K
    . Analysis of factors impacting coder productivity of ICD-10-CM/PCS. April 17, 2013. Available from: http://www.txstate.edu/continuinged/Events/HIM-Spring-Conference/contentParagraph/0/content_files/file3/TexasStateICD-10Productivity.pdf. Accessed November 13, 2015.
  15. 15.↵
    1. Stanfill MH,
    2. Fenton SH,
    3. Lin KL
    . Improvements in coder productivity and quality with ICD-10-CM/PCS after one year. 2014 AHIMA Convention & Exhibit San Diego, CA, September 27–October 2, 2014.
  16. 16.↵
    1. Carr KJ
    . Closing the ICD-l0 revenue gap. Healthc Financ Manage 2013;67:118–22.
    OpenUrl
  17. 17.↵
    Clinical concepts for family practice. ICD-10 clinical concepts series. Baltimore: Centers for Medicare and Medicaid Services. Available from: https://www.cms.gov/Medicare/Coding/ICD10/Downloads/ICD10ClinicalConceptsFamilyPractice1.pdf. Accessed November 16, 2015.
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The Journal of the American Board of Family     Medicine: 29 (1)
The Journal of the American Board of Family Medicine
Vol. 29, Issue 1
January-February 2016
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Simulation of ICD-9 to ICD-10-CM Transition for Family Medicine: Simple or Convoluted?
Samuel N. Grief, Jesal Patel, Karl M. Kochendorfer, Lee A. Green, Yves A. Lussier, Jianrong Li, Michael Burton, Andrew D. Boyd
The Journal of the American Board of Family Medicine Jan 2016, 29 (1) 29-36; DOI: 10.3122/jabfm.2016.01.150146

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Simulation of ICD-9 to ICD-10-CM Transition for Family Medicine: Simple or Convoluted?
Samuel N. Grief, Jesal Patel, Karl M. Kochendorfer, Lee A. Green, Yves A. Lussier, Jianrong Li, Michael Burton, Andrew D. Boyd
The Journal of the American Board of Family Medicine Jan 2016, 29 (1) 29-36; DOI: 10.3122/jabfm.2016.01.150146
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