ARUP buys Pathlore's learning management system
Associated Regional and University Pathologists, Inc. (ARUP Laboratories), one of the USA's largest clinical reference laboratories, has bought Pathlore's learning management system (LMS). ARUP Laboratories will use the LMS to report on training taken by the lab's 1,600 workers, technicians, pathologists and scientists.
According to ARUP executives, among the main reasons for buying the LMS was a need to standardise the reporting and tracking of training. Before buying the LMS, ARUP kept tabs on its training requirements with a combination of computer spreadsheets, database management programs and three-ring notebooks.
"When inspectors came to see if we had met our training requirements, we always had the records on hand," said James Christensen, director of ARUP's Institute for Learning. "But gathering training records for inspections was, sometimes, a cumbersome process because there was never a standardised or streamlined way of serving up the data."
ARUP, which was named one of Fortune's '100 Best Companies to Work For' in 2003, wanted a single method for not only delivering education to the company but also accounting for what workers learned.
Much of the lab's training is done one-on-one, which supervisors must document and store. ARUP offers its clients more than 2,000 tests and test combinations, and lab employees must regularly demonstrate competency in the tests they perform.
"We're required to document the training and certification of our laboratory staff," added Christensen. "And we felt it best to look outside the company for an LMS that could meet our needs."
Having reviewed proposals from a number of LMS vendors, ARUP settled on Pathlore. Christensen commented: "A real selling point for us was that the Pathlore LMS is easy for us to configure. But, at the end of the day, we realised Pathlore spoke our language: they have many clients like us."
More than 100 hospitals and health care organisations have bought Pathlore's LMS - many of them to take advantage of the LMS's analytical features.
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