Literature DB >> 15564407

Practice management performance indicators in academic radiology departments.

Silvia Ondategui-Parra1, Jui G Bhagwat, Kelly H Zou, Adheet Gogate, Lisa A Intriere, Pauline Kelly, Steven E Seltzer, Pablo R Ros.   

Abstract

PURPOSE: To determine the management performance indicators most frequently utilized in academic radiology departments in the United States.
MATERIALS AND METHODS: This investigation met the criteria for an exemption from institutional review board approval. A cross-sectional study in which a validated national survey was sent to members of the Society of Chairmen of Academic Radiology Departments (SCARD) was conducted. The survey was designed to examine the following six categories of 28 performance indicators: (a) general organization, (b) volume and productivity, (c) radiology reporting, (d) access to examinations, (e) customer satisfaction, and (f) finance. A total of 158 variables were included in the analysis. Summary statistics, the chi(2) test, rank correlation, multiple regression analysis, and analysis of variance were used.
RESULTS: A response rate of 42% (55 of 132 SCARD members) was achieved. The mean number of performance indicators used by radiology departments was 16 +/- 6.35 (standard deviation). The most frequently utilized performance indicators were as follows: (a) productivity, in terms of examination volume (78% [43 departments]) and examination volume per modality (78% [43 departments]); (b) reporting, in terms of report turnaround (82% [45 departments]) and transcription time (71% [39 departments]); (c) access, in terms of appointment access to magnetic resonance imaging (80% [44 departments]); (d) satisfaction, in terms of number of patient complaints (84% [46 departments]); and (e) finance, in terms of expenses (67% [37 departments]). Regression analysis revealed that the numbers of performance indicators in each category were statistically significant in predicting the total number of performance indicators used (P < .001 for all). Numbers of productivity and financial indicators were moderately correlated (r = 0.51). However, there were no statistically significant correlations between the numbers of performance indicators used and hospital location, hospital size, or department size (P > .4 for all).
CONCLUSION: Assessing departmental performance with a wide range of management indicators is not yet an established and standardized practice in academic radiology departments in the United States. Among all indicators, productivity indicators are the most frequently used. (c) RSNA, 2004.

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Year:  2004        PMID: 15564407     DOI: 10.1148/radiol.2333031147

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

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2.  Quality metrics currently used in academic radiology departments: results of the QUALMET survey.

Authors:  Eric A Walker; Jonelle M Petscavage-Thomas; Joseph S Fotos; Michael A Bruno
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4.  A Business Analytics Software Tool for Monitoring and Predicting Radiology Throughput Performance.

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5.  Assessing the performance of imaging health systems in five selected hospitals in Uganda.

Authors:  Michael G Kawooya; George Pariyo; Elsie Kiguli Malwadde; Rosemary Byanyima; Harriet Kisembo
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6.  Assessing the performance of medical personnel involved in the diagnostic imaging processes in mulago hospital, kampala, Uganda.

Authors:  Michael G Kawooya; George Pariyo; Elsie Kiguli Malwadde; Rosemary Byanyima; Harrient Kisembo
Journal:  J Clin Imaging Sci       Date:  2012-10-06

7.  What influences clinician's satisfaction with radiology services?

Authors:  Richard Lindsay; Steven McKinstry; Stephen Vallely; Gail Thornbury
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8.  Value Innovation in Hospital: Increase Organizational IQ by Managing Intellectual Capitals.

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9.  Factors associated with No-Shows and rescheduling MRI appointments.

Authors:  Majeed O AlRowaili; Anwar E Ahmed; Hasan A Areabi
Journal:  BMC Health Serv Res       Date:  2016-12-01       Impact factor: 2.655

Review 10.  The effectiveness of service delivery initiatives at improving patients' waiting times in clinical radiology departments: a systematic review.

Authors:  B Olisemeke; Y F Chen; K Hemming; A Girling
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

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