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PARTICIPANTS
Presenter
Pragya Dang MBBS  
Abstract Co-Author
Chris Sistrom MD  
Mannudeep Kalra MD  
Jeffrey Weilburg MD  
Daniel Rosenthal MD  
Keith Dreyer DO, PhD  
AWARDS
Trainee Research Prize - Fellow
SUBSPECIALTY CONTENT
Informatics
 
  CODE: SSJ14-01
  SESSION: Informatics (Decision Support)
 

Quantifying the Effect of Computerized Order Entry with Decision Support on the Growth of CT Imaging Volumes

 
 
  DATE: Tuesday, December 02 2008
  START TIME: 03:00 PM
  END TIME: 03:10 PM
  LOCATION: S403A



  DISCLOSURES
  P.D. - Nothing to disclose.  
  C.S. - Technical Consultant, Nuance Communications, Inc Technical Consultant, Commissure, Inc Medical Advisory Board, Nuance Communications, Inc  
  M.K. - Research grant, General Electric Company  
  J.W. - Nothing to disclose.  
  D.R. - Scientific Advisory Board, Covidien AG  
  K.D. - Employee, Perceptics, LLC Medical Advisor, Perceptics, LLC Medical Advisor, Agfa-Gevaert Group Medical Advisor, FUJIFILM Holdings Corporation Medical Advisor, General Electric Company Medical Advisor, McKesson Corporation Medical Advisor, AuntMinnie.com Medical Advisor, AMICAS, Inc Medical Advisor, Dynamic Imaging, LLC Medical Advisor, Ascom Holding AG Medical Advisor, Bracco Group Medical Advisor, Merge Healthcare Medical Advisor, Emageon, Inc Medical Advisor, RCG HealthCare Consulting Medical Advisor, Valley Radiology Medical Associates, Inc Medical Advisor, The Elizabeth Wende Breast Clinic Medical Advisor, ISCI Medical Advisor, Siemens AG Medical Advisor, Barco nv Medical Advisor, Hue AS Medical Advisor, Planar Systems, Inc Medical Advisor, Vital Images, Inc Medical Advisor, Commissure, Inc Medical Advisor, TeraRecon, Inc Medical Advisor, Mercury Computer Systems, Inc Medical Advisor, IBM Corporation Medical Advisor, Hewlett-Packard Company Medical Advisor, EMC Corp Medical Advisor, Phase Forward Incorporated Medical Advisor, Winchester Systems, Inc Medical Advisor, Dell Inc Medical Advisor, Eastman Kodak Company Medical Advisor, Amirsys, Inc Medical Advisor, Reed Elsevier Committee member, Diagnostic Imaging Committee member, AuntMinnie.com Committee member, Imaging Economics Author, Springer Science+Business Media Deutschland GmbH Shareholder, Microsoft Corporation Shareholder, Intel Corporation Shareholder, IBM Corporation Shareholder, Hewlett-Packard Company Shareholder, Dell Inc Shareholder, General Electric Company Shareholder, Siemens AG Shareholder, Google Inc  

 PURPOSE
 

A Computerized Radiology Order Entry-Decision Support (ROE-DS) program at our institution was developed for ordering high cost imaging exams by providing real-time appropriateness feedback. The purpose of our study was to quantify the size and significance of the effect of ROE-DS on the growth of outpatient CT exams in a single tertiary healthcare center.

  
 METHOD AND MATERIALS
 

A clinical radiology data repository was queried to obtain quarterly counts of outpatient CT scans from 2001 through 2007. The resulting set of 28 sequential counts were analyzed as an interrupted time series using piecewise linear regression with the breakpoint set at period 15 (Q4 of 2004, when ROE-DS was implemented). This technique, implemented with SAS software, allowed simultaneous estimation of two slopes. These represented quarterly CT volume growth in periods 1-15 (before ROE-DS) and quarterly CT volume growth in periods 16-28 (after ROE-DS). This procedure was repeated on log transformed quarterly volumes to interpret the resulting slope estimates (and change after ROE-DS) as quarterly percent growth rates, analogous to economic inflation.

  
 RESULTS
 

The quarterly outpatient CT volume increased from 8013(Q1 2001) to 14293(Q4 2004) and then decreased to 13453(Q4 2007). The estimated pre ROE-DS slope (increase in volume per quarter) was 329 (95% CI=270-390) and post ROE-DS slope was 47 (95% CI=-18 to 112). The estimated difference in these two slopes (i.e. the effect of ROE-DS on quarterly increase in CT volume) was significantly (p<0.0001) lower than zero at -283 CT scans per quarter. Slopes obtained using log transformed volume data (multiplied by 100 to obtain compound quarterly growth rate in percent) were as follows. Pre ROE-DS; 3.1% (95% CI=2.6-3.6%) and post ROE-DS; 0.2% (95% CI=-2.9-7.9%). The estimated change in quarterly growth rate was significantly (p=0.039) less than zero at -2.8%. After ROE-DS, the absolute quarterly growth in CT volume and percentage growth rate were statistically indistinguishable from being essentially flat at the 0.05 level of significance (the 95% CI on both estimates contain zero).

  
 CONCLUSION
 

The implementation of ROE-DS was associated with a subsequent decrease in the quarterly growth rate of outpatient CT volume of 2.8% (from 3.1% to 0.2%).

  
 CLINICAL RELEVANCE/APPLICATION
 

Adoption of computerized radiology order entry with decision support can substantially decrease the growth of outpatient CT volumes.

  
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   pdang1@partners.org