Application of Process Mining for Tuberculosis Testing Process

The advent of Information technology has had a huge impact on interpretation of the vast knowledge of information available in the health care sector. The vast amount of data generated in this area needs to be appropriately stowed (cached) in order to conduct automated analysis. A huge amount of research data exists in varied areas of health care sector such as extraction and analysis of scanned images, implications of results of various investigations and the treatment process. One related area which lacks significant research is the laboratory testing process to diagnose any illness, which is a prime step to initiate and provide apt treatment. One such disease which has been the cause of considerable morbidity and mortality worldwide is Tuberculosis (TB). Our objective was to study the applicability of process mining to extract the trajectories of diagnostic tests performed for the conformance of Tuberculosis (TB) and to verify time conformance of such tests conducted with that as specified by regulatory bodies.