Utilization management for successful process optimization in radiology

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1 Utilization management for successful process optimization in radiology Poster No.: C-0737 Congress: ECR 2011 Type: Scientific Paper Authors: H.-P. Busch 1, W. Frewer 1, A. van Est 2 ; 1 Trier/DE, 2 Eindhoven/NL Keywords: Management, Computer applications, MR, Efficacy studies DOI: /ecr2011/C-0737 Any information contained in this pdf file is automatically generated from digital material submitted to EPOS by third parties in the form of scientific presentations. References to any names, marks, products, or services of third parties or hypertext links to thirdparty sites or information are provided solely as a convenience to you and do not in any way constitute or imply ECR's endorsement, sponsorship or recommendation of the third party, information, product or service. ECR is not responsible for the content of these pages and does not make any representations regarding the content or accuracy of material in this file. As per copyright regulations, any unauthorised use of the material or parts thereof as well as commercial reproduction or multiple distribution by any traditional or electronically based reproduction/publication method ist strictly prohibited. You agree to defend, indemnify, and hold ECR harmless from and against any and all claims, damages, costs, and expenses, including attorneys' fees, arising from or related to your use of these pages. Please note: Links to movies, ppt slideshows and any other multimedia files are not available in the pdf version of presentations. Page 1 of 8

2 Purpose This poster describes the application of an automated measurement system for MRI equipment utilization data and comparison with 500 hospitals in Europe as an evidence based starting point towards successful process improvement in a radiology department. Methods and Materials An automated data collection and reporting software system (Philips Utilization Services) was used to monitor daily events and activities on an MRI device (fig.2). The following Key Performance Indicators (KPI's) were reported in a dashboard overview for a user defined period of time: Number of Examinations, Procedure time, Examination time, Scan time, Change over time, Inter-scan delay time, Scan ratio (fig. 1). Fig.: Overview of Key Performance Indicators (KPIs) Page 2 of 8

3 Fig.: Dashboard overview of KPI trend reports A benchmark database with Key Performance Indicator data from over 500 European hospitals was used for reference in order to derive a first estimate of the improvement potential (fig 3). Page 3 of 8

4 Fig.: European hospital KPI benchmark for 1.5T and 3.0T MRI equipment for three consecutive reporting years Fig.: European KPI benchmark for 1.5 MRI equipment per country in 2010 Page 4 of 8

5 Fig.: European KPI benchmark for 3.0T MRI equipment per country in 2010 Results The method was applied to the - MRI section of the - radiology department at the Krankenhaus der Barmherzigen Brüder, Trier, Germany (BKT). A comparison of two BKT MRI systems (1.5 T) versus the European and German average benchmark is shown in Table 5. The MR2 system is especially used for cardiac examinations and intensive care patients with anesthesia. The average (fig.6) includes private practices, the full range of hospital sizes and university hospitals. Page 5 of 8

6 Fig.: KPI overview at BKT Trier versus the European and German 1.5T average benchmark Fig.: KPI overview for MRI in relation to privat practices, different sizes of hospitals(beds) and academic hospitals Page 6 of 8

7 The comparison with a reference database shows that at larger hospitals generally longer examination times are found, and "state of the art" equipment 3.0T scanners have shorter examination times than 1.5T units. The BKT(600 beds) has significantly lower exam time and similar scan time and exams per day in comparison to hospitals >500 beds - a good starting point for further optimization. Through the systematic utilization management, the success of process improvement is quantifiable in comparison to a European and a German reference data bank. This allows a dedicated "before and after" comparison of the results of the optimization process. Opportunity categories for improvements are: Patient flow management Examination flow management Schedule logistics management Optimization of the MRI procedures In the "Krankenhaus der Barmherzigen Brüder Trier" we started this optimisation process with a KAIZEN event. The initial assessment was followed by a concerted and focused team event that involved detailed workflow analysis, identification and prioritization of the improvement opportunities, and finally started the implementation of the top ranked opportunities (see EPOS: Radiology process optimization in a DRG setting) Conclusion Utilization Management with Benchmarking is an effective starting point for a successful process optimization. Prozess optimization key performance paramters(philips Utilization Services) help healthcare providers improve procedural workflow and quality of care by easily and quickly providing detailed insights into system usage during exams and the idle capacity available. References no references Page 7 of 8

8 Personal Information Page 8 of 8

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