Title :
A Study to Evaluate the Effectiveness of the Currently Utilized Acute Kidney Injury (AKI) Alert: A Use Case Example for a Learning Health System
Author :
Dealmeida, Dilhari ; Al-Jaghbeer, Mohammed ; Abdelhak, Mervat ; Kellum, John
Abstract :
Acute kidney injury (AKI) is common among hospitalized patients with significantly worse outcomes even with mild degrees of severity. We collected data on AKI e-alerts in a university medical center in November 2013. A sample of 100 non-ICU patients was analyzed for "possible AKI" e-alert present in the laboratory data section of the EMR. We found that all cases in which the alert fired were true cases of AKI with 100% Specificity and 97% Sensitivity.
Keywords :
data acquisition; data analysis; diseases; electronic health records; injuries; kidney; medical computing; AKI alert; AKI e-alerts; EMR; acute kidney injury alert; electronic medical record; hospitalized patients; laboratory data section; nonICU patients; university medical center; Data collection; Electronic medical records; Guidelines; Injuries; Kidney; Sensitivity;
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.2015.377
