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Discussion:
It is this author‘s proposal to inform managers and technicians that we must deal with
these data quality issues and provide technicians training so we can maintain completeness
and inventory accuracy of our data—remember that we must own it! In the end, the return
on investment is improved time management, improved decision-making as well as increased patient safety that will reduce organizational costs and avoid unnecessary litigation
fees from equipment mishaps or missed hazard alerts due from improper documentation.
References:
1. Eckerson, Wayne W., The Data Warehouse Institute, Data Quality and the Bottom Line:
Achieving Business Success Through a Commitment for High Quality Data. pg. 3, http://
download.101com.com/pub/tdwi/Files/DQReport.pdf (Accessdate June 23rd, 2012).
2. Correll, Christopher. The Advantages of DQM. November 2009. http://
www.24x7mag.com/issues/articles/2009-11_10.asp
Questions:
1). What leads to incomplete, inaccurate, out-of-date DMMS data?
a. multiple data storages
b. untrained technicians
c. Spelling errors or incomplete names from missing or partial data
d. all of the above
2). By standardizing the database records ―garbage in = garbage out‖ what do you plan to
accomplish?
a. improve patient safety
b. decentralizes database records
c. develops a traceable recall alert system from manufacturer to our work order database
d. a and c
3). How often is a good rule of thumb for CE managers to perform data quality checks ?
a. daily
b. weekly
c. monthly
d. annually
Answers: 1)d. 2)d 3)c