Table 3

Putative causes of truly faulty data

Human errorMis-entry; misunderstanding of scale values; faulty understanding of use of data entry software; faulty interpretation of device values
Lab errorSampling error (eg, haemolysis); measurement error
Device errorDisconnect, interference, faulty calibration, software error; unexplained, transient aberrant values that resolve and do not recur
Systems errorInterface error, application interoperability error
Software errorBug in software relating to data value entry; data wrongly captured, stored, and/or retrieved due to software design faults or bugs
Hardware errorHardware issues that impact software and systems
Data analytic errorError in analytic algorithm or process