Repository logo
 

Demonstrating the Feasibility of Statistical Process Control Charts as a Surveillance and Decision Tool for Breast Screening Utilizing Open Source Solutions

dc.contributor.authorTearo, Khalid W.
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Health Informaticsen_US
dc.contributor.departmentHealth Informaticsen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorRaza Abidien_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerJennifer Payneen_US
dc.contributor.thesis-readerDavid Zitneren_US
dc.contributor.thesis-supervisorMohamed Abdolell, Grace Patersonen_US
dc.date.accessioned2013-01-24T16:50:19Z
dc.date.available2013-01-24T16:50:19Z
dc.date.defence2013-01-09
dc.date.issued2013-01-24
dc.description.abstractHealthcare organizations typically suffer from the Data Rich, Information Poor (DRIP) syndrome, which has a direct impact on the ability of organizations to monitor processes which is the basis of surveillance activities. The objectives of this research were to demonstrate the feasibility of Statistical Process Control Charts (SPC) as a surveillance and decision tool, and to identify a data collection framework that satisfies the key quality factors of completeness, accuracy, comparability, usability and timeliness criteria. SPC charts were developed and customized using Open Source Software (OSS). A survey was developed and executed to identify breast pathologists’ familiarity with synoptic reporting elements and their reporting habits. Results showed that SPC charts successfully identified developing trends in monitored processes and correctly isolated special causes from common causes. Perl was identified as an OSS solution for parsing templated pathology reports to populate the relational database. The R language for statistical computing provided an OSS solution for implementing SPC charts. Pathologists’ responses did not correspond with respect to their ratings of reporting elements.en_US
dc.identifier.urihttp://hdl.handle.net/10222/15919
dc.language.isoenen_US
dc.titleDemonstrating the Feasibility of Statistical Process Control Charts as a Surveillance and Decision Tool for Breast Screening Utilizing Open Source Solutionsen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Tearo_Khalid_MHI_Health_Informatics_January_2013.pdf
Size:
10.17 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.42 KB
Format:
Item-specific license agreed upon to submission
Description: