Literature DB >> 21129686

Inpatient CT and MRI utilization: trends in the academic hospital setting.

Rajan Agarwal1, Meredith Bergey, Seema Sonnad, Howard Butowsky, Mythreyi Bhargavan, Michael H Bleshman.   

Abstract

PURPOSE: The aim of this study was to determine trends in the utilization of inpatient CT and MRI at academic medical centers.
METHODS: Surveys requesting inpatient CT volumes, inpatient MRI volumes, discharges excluding newborns, and case-adjusted mix index from 2002 to 2007 were e-mailed to all 123 members of the Society of Chairmen of Academic Radiology Departments. CT and MRI studies per discharge were adjusted using the case mix index (CMI) provided by each hospital to adjust for the differences in patient mix at participating institutions. Trends in adjusted inpatient imaging utilization were compared over time and across responding institutions.
RESULTS: Twenty-two of 123 chairs (17.9%) of academic radiology departments, representing all geographic regions and a wide variability in National Institutes of Health research funding ranking, provided responses to our survey. Between 2002 and 2007, there was an increase in median CMI-adjusted CT studies per discharge of 28.0% and an increase in median CMI-adjusted MRI studies per discharge of 19.8%. The largest annual percentage increase in CT utilization (20.2%) occurred from 2003 to 2004, and there was negative growth between 2006 and 2007 of -3.74%. The largest annual percentage increase in MRI utilization (13.9%) occurred from 2006 to 2007, with 3 years of negative growth from 2002 to 2003, 2004 to 2005, and 2005 to 2006. In 2007, there was a wide range in CMI-adjusted CT studies per discharge between institutions from 0.16 to 0.75, with a mean of 0.40 ± 0.18, with a corresponding wide range in CMI-adjusted MRI studies per discharge of 0.04 to 0.16, with a mean of 0.09 ± 0.03.
CONCLUSION: There has been large growth in inpatient CT and MRI utilization at academic medical centers. This growth is variable over time and between institutions. Practice leaders can use this information to compare themselves with their peers and to monitor the impact of programmatic improvements on inpatient imaging utilization and in discussions with health system leaders who would like to improve system profitability by decreasing costly inpatient imaging procedures.
Copyright © 2010 American College of Radiology. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 21129686     DOI: 10.1016/j.jacr.2010.08.015

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  14 in total

1.  Utilization rates of neuroradiology across neuroscience specialties in the private office setting: who owns or leases the scanners on which studies are performed?

Authors:  L S Babiarz; D M Yousem; L Parker; D C Levin; V Rao
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-27       Impact factor: 3.825

2.  [Magnetic resonance imaging and implantable cardiac devices. Current status and future perspectives of MR-compatible systems].

Authors:  M Dorenkamp; M Roser; B Hamm; W Haverkamp
Journal:  Herz       Date:  2012-03       Impact factor: 1.443

Review 3.  MR-guided focused ultrasound surgery, present and future.

Authors:  David Schlesinger; Stanley Benedict; Chris Diederich; Wladyslaw Gedroyc; Alexander Klibanov; James Larner
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

4.  Publication trends in noninvasive cardiovascular imaging: 1991-2011: a retrospective observational study.

Authors:  Sobia Mujtaba; Jessica M Peña; Mohan Pamerla; Cynthia C Taub
Journal:  Am J Cardiovasc Dis       Date:  2013-11-01

5.  Trends in the Use of Medical Imaging to Diagnose Appendicitis at an Academic Medical Center.

Authors:  Michael D Repplinger; Andrew C Weber; Perry J Pickhardt; Victoria P Rajamanickam; James E Svenson; William J Ehlenbach; Ryan P Westergaard; Scott B Reeder; Elizabeth A Jacobs
Journal:  J Am Coll Radiol       Date:  2016-04-02       Impact factor: 5.532

6.  Diagnostic imaging and spending review: extreme problems call for extreme measures.

Authors:  Anna Micaela Ciarrapico; Rossana Ugenti; Lidia Di Minco; Elisabetta Santori; Simone Altobelli; Irene Coco; Silvia D'Onofrio; Giovanni Simonetti
Journal:  Radiol Med       Date:  2017-01-09       Impact factor: 3.469

7.  Utilization effect of integrating a chest radiography room into a thoracic surgery ward.

Authors:  Cleo K Maehara; Francine Jacobson; Katherine P Andriole; Ramin Khorasani
Journal:  J Am Coll Radiol       Date:  2012-06       Impact factor: 5.532

8.  Automated Facial Recognition of Computed Tomography-Derived Facial Images: Patient Privacy Implications.

Authors:  Connie L Parks; Keith L Monson
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

9.  Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.

Authors:  Peter M Graffy; Veit Sandfort; Ronald M Summers; Perry J Pickhardt
Journal:  Radiology       Date:  2019-09-17       Impact factor: 11.105

10.  An Important and Often Ignored Turnaround Time in Radiology - Clinician Turnaround Time: Implications for Musculoskeletal Radiology.

Authors:  Michael Mayer; Ronnie Sebro
Journal:  J Belg Soc Radiol       Date:  2019-08-14       Impact factor: 1.894

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.