The concept of Process Mining was employed to explore and analyse the Covid-19 testing process, from initial sample collection (pre-analytical) stage to the final, post-analytical stage of results being dispatched, with an aim to refine and improvise the entire process. The techniques of process mining (PM) namely ‘discovery’ was employed to extract control-flow of activity executions; ‘compliance verification’ to detect non-conforming activities; and ‘enhancement’ to suggest corrective and preventive actions. Extensive analysis of the diagnostic laboratory case study revealed that Process Mining methodology may be effectively applied in discovering the workflow of various Covid-19 testing methods, recognizing causes for delayed turn-around-time, adherence to compliance from control-flow and timing perspectives as well as statistics of machine utilization were also obtained from an organizational perspective.