A quality attribute represents a single aspect of quality (e.g. timeliness) [11, 14].
Data quality is usually divided into different indicators, i.e., accuracy, completeness, and timeliness [4].
The ultimate standard for any action is "timeliness" (5B1), which seems to mean performing the right action out of the appropriate motivation for this particular situation.
Data from the health care sector is collected within HIS as well as analyzed and controlled for quality, relevance, and timeliness [24].
The data quality issue in this paper is characterized by three qualities, including data accuracy, data availability, and data timeliness [24].
At the same time, dynamic reconfiguration should also minimize the interruption of the system's service (i.e., disruption) and the delay with which the system is updated (i.e., its timeliness) [15, 17].
Inputs have to be accurately entered into the system in order to produce meaningful outputs (lists, reports, forecasts, etc).. Scholars often discuss the dimension of data quality as accuracy, relevancy, completeness and timeliness [62].
Many published evaluations have focused on timeliness [13] and completeness of case reports [14], [15], such as for tuberculosis, meningococcal disease or measles.
Two detection algorithms presented a specificity higher than 85% with a satisfactory mean timeliness: C2, k = 0.07 and 3 days (sensitivity: 100%, specificity: 87.7%, and mean timeliness = 0.5) and C2, k = 0.1 and 3 days (sensitivity: 100%, specificity: 88.0%, and mean timeliness = 0.8).
The operational performance seemed most influenced by the different operational strategies pursued, aiming for: efficiency (11), timeliness (12), and medical liability (13).
