Abstract

Most laboratories around the world have focused on improving the analytical quality of laboratory tests. Laboratory turnaround time (TAT) is often left unnoticed and under-recognised in the healthcare setting. Both patients and clinicians are more interested in receiving rapid, reliable, and accurate results. This can be achieved by improving the TAT through the identification of the causes that lead to delayed TAT. This prospective study aims to identify the cause of delayed TATs within the outpatient department and implement corrective strategies to overcome them. A total of 214 samples were received. The study was conducted for a period of two years; of all the samples received, 154 were from the outpatient department, and 78 samples exceeded the expected TAT. The samples were analysed in the clinical biochemistry department of the hospital. The time spent at each station was determined using an internal computer system, which was also used to identify the samples that exceeded TATs. The primary outcome of the study was to identify the number of samples exceeding TAT and the causes of it. Upon implementation of corrective measures and root cause analysis, the TATs were reduced from 80-88% to 11-33%. After analysing the duration of time for the samples that exceeded TAT, 45.1% and 37.5% exceeded 30 minutes in Year 1 and Year 2, respectively. Only 3.2% and 6.2% exceeded five hours in Year 1 and Year 2, respectively. Furthermore, using root cause analysis, it was found that 12% of the delay was due to increased waiting time or sample collection, 14% included other causes such as outsourcing of samples, and 18% of the delay was due to pre-analytic processing time. Our study concludes that TAT is an important quality assessment tool within the laboratory setting, and with proper identification of causes, it can be improved. Although monitoring TAT is a tedious process that mandates tremendous efforts, with the presence of real-time monitoring, improving TAT is an achievable goal. This, in turn, can improve patient treatment outcomes and clinician satisfaction.

Full Text
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