Data-Driven decision support tool for power quality measures in marine vessel power system

Author(s):  
Espen Skjong ◽  
Serge Gale ◽  
Marta Molinas ◽  
Tor Arne Johansen
2021 ◽  
Author(s):  
Apostolos Arsenopoulos ◽  
Elissaios Sarmas ◽  
Andriana Stavrakaki ◽  
Ioanna Giannouli ◽  
John Psarras

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 137063-137082
Author(s):  
Pattaramon Vuttipittayamongkol ◽  
Aaron Tung ◽  
Eyad Elyan

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 6643-6643 ◽  
Author(s):  
Peter G. Ellis ◽  
Kathleen Lokay

6643 Background: UPMC CancerCenter received their ASCO QOPI certification after the Spring 2011 measurement period with a QOPI Certification Overall Quality Score of 78.2%. The results, however, demonstrated a number of metrics performing below QOPI mean scores. Physicians and staff performed an analysis of root causes for these underperforming metrics and identified a combination of steps to improve these metrics and the overall score. Methods: Interventions to ensure high capture of Core Metric #9 (staging within 30 days of diagnosis), #10 and #11(treatment intent and discussion with patient) were imbedded into the clinical pathways program (Via Oncology Pathways) used by the UPMC CancerCenter physicians beginning in February 2011. These data points were charted by physicians when utilizing the Via Pathways Portal and automatically displayed on the regimen order sets that are generated by that Portal. These order sets were used as official orders and therefore placed into the patient charts. Results: UPMC CancerCenter’s QOPI Certification Overall Quality Score improved by 7 percentage points to 85.39% for the Fall 2012 measurement period (as compared to Spring 2011). All of the 24 certification metrics for Fall 2012 were similar or improved as compared to Spring 2011. Core Metrics #9 and #10 improved by 18 and 22 percentage points, respectively Conclusions: Improvements in quality measures such as ASCO QOPI can be gained through targeted analysis of root cause and application of new interventions such as clinical pathways decision support. We feel that decision support tools such as pathways programs may be an important source of data for e-QOPI type programs and should be considered.


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