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Identifying Radiological Needs of Referring Clinicians

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Abstract

To provide prospective information about quality- and satisfaction-related product features in radiology, a customer-centered approach for acquiring clinicians' requirements and their prioritizations is essential. We introduced the Kano model for the first time in radiology to obtain such information. A Kano questionnaire, consisting of pairs of questions regarding 13 clinician requirements related to computed tomography (CT), magnetic resonance imaging (MRI) access and report turnaround time (RTT), was developed and administered. Each requirement was assigned a Kano category, and its satisfaction and dissatisfaction coefficients were calculated and presented in a Kano diagram. The data were stratified based on different clinics and on staff and resident clinicians. The time interval was evaluated between the completion of an examination and the first attempt to access the report by a clinician. Consultation for modality selection and scheduling and access to CT within 24 h and RTT within 8 to 24 h were considered as must-be requirements. Access to CT within 4 h and within 8 h, access to MRI within 8 h and within 24 h, and access to RTT within 4 h were one-dimensional requirements. The extension of operation time for CT or MRI, as well as MRI access within 4 h, was considered attractive. Eight out of nine clinics considered RTT within 8 h as a must-be requirement. There were differences in responses both among different clinics and between staff and resident clinicians. Access attempts to reports by clinicians in the first 4 h after the examination completion accounted for 65 % of CTs and 49 % of MRIs.

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References

  1. Institute of Medicine: The Quality Chasm: A New Health System for the 21th Century. National Academy Press, Washington, DC, 2001

    Google Scholar 

  2. Zhang L, Hefke A, Figiel J, Romminger M, Klose K: Enhancing same day access to magnetic resonance imaging. J of the American College of Radiology 8:649–656, 2011

    Article  Google Scholar 

  3. Roth C, Boll D, Wall L, Merkle E: Evaluation of MRI acquisition workflow with Lean Six Sigma method: Case study of liver and knee examinations. AJR Am J Roentgenol 195:W150–W156, 2010

    Article  PubMed  Google Scholar 

  4. Swensen SJ, Meyer GS, Nelson EC, Hunt GC, Pryor DB, Weissberg JI, Kaplan GS, Daley J, Yates GR, Chassin MR, James BC, Berwick DM: Cottage industry to postindustrial care—the revolution in health care delivery. N Engl J Med 362:e12, 2010

    Article  PubMed  Google Scholar 

  5. Ondategui-Parra S, Erturk S, Ros P: Survey of the use of quality indicators in academic radiology departments. AJR Am J Roentgenol 187:W451–W455, 2006

    Article  PubMed  Google Scholar 

  6. Cavagna E, Berletti R, Schiavon F, Scarsi B, Barbato G: Optimized delivery radiological reports: Applying six sigma methodology to a radiology department. Radiol Med 105:205–214, 2003

    PubMed  Google Scholar 

  7. Klose K, Wecker C, Zhang L: Reducing report turnaround time using six sigma. International Journal of Computer Assisted Radiology and Surgery 4:162–163, 2009

    Google Scholar 

  8. Oehmen J, Rebentisch E: Waste in lean product development. In: Initiative LA Ed. Massachusetts Institute of Technology, 2010

  9. Berger C, Blauth R, Boger D, Bolster C, Burchill G, DuMouchel W, Pouliot F, Richter R, Rubinoff A, Shen D, Timko M, Walden D: Kano's methods for understanding customer-defined quality. Center for Quality Management J 2:36, 1993

    Google Scholar 

  10. Cronin J, Taylor S: Servperf versus servqual—reconciling performance-based and perceptions-minus-expectations measurement of service quality. J of Marketing 58:125–131, 1994

    Article  Google Scholar 

  11. Chen S, Chang L, Huang T: Applying six-sigma methodology in the kano quality model: An example of the stationery industry. Total Quality Management & Business Excellence 20:153–170, 2009

    Article  Google Scholar 

  12. Shahin A, Zairi M: Kano model: A dynamic approach for classifying and prioritising requirements of airline travellers with three case studies on international airlines. Total Quality Management & Business Excellence 20:1003–1028, 2009

    Article  Google Scholar 

  13. Matzler K, Hinterhuber HH: How to make product develoment projects more sucessful by integrating Kano's model of customer satisfaction into quality function deployment. Technovation 25-38, 1998

  14. Boland G, Houghton M, Marchione D, McCormick W: Maximizing outpatient computed tomography productivity using multiple technologists. J Am Coll Radiol 5:119–125, 2008

    Article  PubMed  Google Scholar 

  15. Krishnaraj A, Lee JK, Laws SA, Crawford TJ: Voice recognition software: Effect on radiology report turnaround time at an academic medical center. AJR Am J Roentgenol 195:194–197, 2010

    Article  PubMed  Google Scholar 

  16. Pande P, Neuman R, Cavanagh R: The Six Sigma Way: How GE, Motorola, and Other Top Companies Are Honing Their Performance. McGraw-Hill Professional, Columbus, 2001

    Google Scholar 

  17. Seltzer SE, Kelly P, Adams DF, Chiango BF, Viera MA, Fener E, Rondeau R, Kazanjian N, Laffel G, Shaffer K: Expediting the turnaround of radiology reports: Use of total quality management to facilitate radiologists' report signing. AJR Am J Roentgenol 162:775–781, 1994

    Article  PubMed  CAS  Google Scholar 

  18. Boland GW, Halpern EF, Gazelle GS: Radiologist report turnaround time: Impact of pay-for-performance measures. AJR Am J Roentgenol 195:707–711, 2010

    Article  PubMed  Google Scholar 

  19. Deetman J: Reducing throughput time of the radiodiagnostic track, University of Twente. Master 106, 2008

  20. Kauppinen T, Koivikko MP, Ahovuo J: Improvement of report workflow and productivity using speech recognition—a follow-up study. J Digit Imaging 21:378–382, 2008

    Article  PubMed  Google Scholar 

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Correspondence to Li Zhang.

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Zhang, L., Hefke, A., Figiel, J. et al. Identifying Radiological Needs of Referring Clinicians. J Digit Imaging 26, 393–401 (2013). https://doi.org/10.1007/s10278-012-9551-x

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