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Developing a Quality Improvement Program

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Quality Evaluation in Non-Invasive Cardiovascular Imaging

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Abstract

Developing a quality improvement program is a multifaceted process that requires the identification and empowerment of a diverse team to identify and implement change in an existing process. The quality improvement process is initiated by targeting those areas which are important for the organization to improve. This can be done through a number of internal processes, comparison to external standards or external analyses. Data needs to be collected in a meaningful and reproducible way for analysis regarding current processes. Once the data collection has been completed and analyzed, the team can develop solutions for change that are then implemented on an organizational wide basis. After the recommended changes have been implemented, it is important to monitor results to ensure that the changes have resulted in improvement and that this is maintained over time. Quality improvement plans will play an important role in the future of imaging as we move from volume based to value based payment methodologies.

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References

  1. Kruskal JB, Anderson S, Yam CS, Sosna J. Quality initiatives: strategies for establishing a comprehensive quality and performance improvement program in a radiology department. RadioGraphics. 2009;29(2):315–29.

    Article  PubMed  Google Scholar 

  2. Erturk SM, Ondategui-Parra S, Ros PR. Quality management in radiology: historical aspects and basic definitions. J Am Coll Radiol. 2005;2(12):985–91.

    Article  PubMed  Google Scholar 

  3. Kanne JP. Quality management in cardiopulmonary imaging. J Thorac Imaging. 2011;26(1):10–7.

    Article  PubMed  Google Scholar 

  4. Reinertsen JL, Gosfield AG, Rupp W, Whittington JW. Engaging physicians in a shared quality agenda. IHI Innovation Series white paper. Cambridge, MA: Institute for Healthcare Improvement. [Internet]. 2007 [cited 2014 Nov 30]. Available from: http://www.ihi.org/resources/Pages/IHIWhitePapers/EngagingPhysiciansWhitePaper.aspx.

  5. Kruskal JB, Eisenberg R, Sosna J, Yam CS, Kruskal JD, Boiselle PM. Quality initiatives: quality improvement in radiology: basic principles and tools requires to achieve success. RadioGraphics. 2011;31(6):1499–509.

    Article  PubMed  Google Scholar 

  6. Intersocietal Accreditation Commission. XXX nuclear facility quality improvement plan. [Internet]. 2012 [cited 2014 Nov 30]. Available from: www.intersocietal.org/nuclear/forms/Sample_QI_Plan.doc.

  7. MacFarlane CR. ACR accreditation of nuclear medicine and PET imaging departments. J Nucl Med Technol. 2006;34(1):18–24.

    PubMed  Google Scholar 

  8. Rubin DL. Informatics in radiology: measuring and improving quality in radiology: meeting the challenge with informatics. RadioGraphics. 2011;31(6):1499–509.

    Article  Google Scholar 

  9. Tague NR. The quality toolbox. American Society for Quality. Milwaukee: Quality Press; 2005.

    Google Scholar 

  10. van Wagtendonk I, Smits M, Merten H, Heetveld MJ, Wagner C. Nature, causes and consequences of unintended events in surgical units. Br J Surg. 2010;97(11):1730–40.

    Article  PubMed  Google Scholar 

  11. van Noord I, Eikens MP, Hamersma AM, de Bruijne MC. Application of root cause analysis on malpractice claim files related to diagnostic failures. Qual Saf Health Care. 2010;19(6), e21. doi:10.1136/qshc.2008.029801. Epub 2010 Jul 14.

    PubMed  Google Scholar 

  12. Neumann PJ, Rosen AB, Weinstein MC. Medicare and cost-effectiveness analysis. N Engl J Med. 2005;353(14):1516–22.

    Article  CAS  PubMed  Google Scholar 

  13. Glassman PA, Model KE, Kahan JP, Jacobson PD, Peabody JW. The role of medical necessity and cost-effectiveness in making medical decisions. Ann Intern Med. 1997;126(2):152–6.

    Article  CAS  PubMed  Google Scholar 

  14. Otero HJ, Rybicki FJ, Greenberg D, Neumann PJ. Twenty years of cost-effectiveness analysis in medical imaging: are we improving? Radiology. 2008;249(3):917–25.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Strife JL, Kun LE, Becker GJ, Dunnick NR, Bosma J, Hattery RR. The American board of radiology perspective on maintenance of certification: part IV – practice quality improvement in diagnostic radiology. AJR. 2007;188:1–4.

    Article  Google Scholar 

  16. Pujar S, Calvert S, Cortina-Borja M, Chin RF, Smith RA, Cross JH, Das K, Pitt M, Scott RC. Statistical process control (SPC) – a simple objective method for monitoring seizure frequency and evaluating effectiveness of drug interventions in refractory childhood epilepsy. Epilepsy Res. 2010;91(2-3):205–13.

    Article  PubMed  Google Scholar 

  17. Cheung YY, Jung B, Sohn JH, Ogrinc G. Quality initiatives: statistical control charts: simplifying the analysis of data for quality improvement. RadioGraphics. 2012;32(7):2113–26.

    Article  PubMed  Google Scholar 

  18. Butler GJ, Forghani R. The next level of radiology peer review: enterprise-wide education and improvement. J Am Coll Radiol. 2013;10(5):349–53.

    Article  PubMed  Google Scholar 

  19. Provenzale JM, Kranz PG. Understanding errors in diagnostic radiology: proposal of a classification scheme and application to emergency radiology. Emerg Radiol. 2011;18(5):403–8.

    Article  PubMed  Google Scholar 

  20. Doi K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imaging Graph. 2007;31(4-5):198–211.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Yoshida H, Näppi J. CAD in CT colonography without and with oral contrast agents: progress and challenges. Comput Med Imaging Graph. 2007;31(4-5):267–84.

    Article  PubMed  Google Scholar 

  22. Tilkemeier PL, Serber ER, Farrell MB. The nuclear cardiology report: problems, predictors, and improvement. A report from the ICANL database. J Nucl Cardiol. 2011;18((5):858–68.

    Article  Google Scholar 

  23. Kahn CE, Heilbrun ME, Applegate KE. From guidelines to practice: how reporting templates promote the use of radiology practice guidelines. J Am Coll Radiol. 2013;10(4):268–73.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Hendel RC, Budoff MJ, Cardella JF, Chambers CE, Dent JM, Fitzgerald DM, Hodgson JM, Klodas E, Kramer CM, Stillman AE, Tilkemeier PL, Ward RP, Weingold WG, White RD, Woodward PK, ACC/AHA/ACR/ASE/ASNC/HRS/NASCI/RSNA/SAIP/SCAI/SCCT/SCMR/SIR. Key data elements and definitions for cardiac imaging: a report of the American College of Cardiology/American Heart Association task force on clinical data standards (writing committee to develop clinical data standards for cardiac imaging). Circulation. 2009;119(1):154–86.

    Article  PubMed  Google Scholar 

  25. Steele JR, Schomer DF. Continuous quality improvement programs provide new opportunities to drive value innovation initiatives in hospital-based radiology practices. J Am Coll Radiol. 2009;6(7):491–9.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Medicine, Greenville Health System, 701 Grove Road, Support Tower 5, Greenville, SC, 29605, USA

    Peter Tilkemeier MD, MMM

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  1. Peter Tilkemeier MD, MMM
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Correspondence to Peter Tilkemeier MD, MMM .

Editor information

Editors and Affiliations

  1. Department of Medicine, Greenville Health System, Greenville, South Carolina, USA

    Peter L. Tilkemeier

  2. Miller School of Medicine, University of Miami, MIAMI, Florida, USA

    Robert C. Hendel

  3. Department of Cardiovascular Medicine, Atlantic Healthcare System, Morristown, New Jersey, USA

    Gary V. Heller

  4. Cardiovascular Imaging Technologies, Kansas City, Missouri, USA

    James A. Case

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© 2016 Springer International Publishing Switzerland

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Tilkemeier, P. (2016). Developing a Quality Improvement Program. In: Tilkemeier, P., Hendel, R., Heller, G., Case, J. (eds) Quality Evaluation in Non-Invasive Cardiovascular Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-28011-0_31

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  • DOI: https://doi.org/10.1007/978-3-319-28011-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28009-7

  • Online ISBN: 978-3-319-28011-0

  • eBook Packages: MedicineMedicine (R0)

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