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 In this brief journal article by Ochsner Health System's Gretchen Galliano, a case is made for a programmatic approach to analyzing missing data in various laboratory information systems (LIS) and determining potential correlations with procedural and systemic processes in the health system. Using the R programming language, homemade scripts, and existing R packages, Ochsner Health Systems visualized and analyzed data from more than 70,000 cases of missing timestamp data, splitting the various cases into five pools. Galliano concludes that the process of "evaluating cases with missing predefined process timestamps" has the potential for improving "the ability to detect other data variations and procedure noncompliance in the AP workflow in a prospective fashion." She added that as an additional benefit, "[p]eriodically evaluating data patterns can give AP LIS teams and operations teams insight into user–LIS interactions and may help identify areas that need focus or updating." |
CompHealth - Central Montana, Montana 59406
An award-winning facility in the heart of Montana is seeking a generalist to cover variable shifts to include days, evenings and weekends. The ideal candidate...
Kforce - Cambridge, MA 02142I have a client in the Boston area who's about to begin a BioRails Implementation, they have a fantastic team in place, but no one... |
 This three-week edX course, with instructors from IBM, will teach you "how to use Node-RED to augment the capabilities of your Watson Assistant chatbots by integrating services such as Watson Translate and Text to Speech. You'll also practice deployment of chatbots to Facebook Messenger." |
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