Case study B Quality indicators
Quality indicators are basically used for monitoring laboratory efficiency and for process improvement. Quality indicators are procedures and processes that develop suitable, interpretable, measurable information that can enable an action to happen in the cycle of constant improvement (Hopp, 2004; 14). In simple words, a quality indicator is an organized measurement process that is aimed to provide the relevant information about the quality of the system.
If the laboratory manager uses the turn-around time for STAT tests as a quality indicator in the laboratory, this will be a good choice for a number of reasons. First, the STAT tests are effective quality indicators and they will help avoid any misleading and confusing information or data that can inefficiently lead to low improvement and less improved work and thus poor decision-making (Dhillion, 2008; 47). Secondly, because of its good design, it will be very helpful in and quite practical in the laboratory because this quality indicator has all the resources to assemble the actual data required. Thirdly, this quality indicator will make it easy for the laboratory technician to make evidence-based decision-making, continual improvement, and management review, correct measurements, and quality control and manage the laboratory efficiently (Carson & Dent,
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The quality indicator that is used in the hospital’s laboratory has been effectively designed to measure all the aspects of the laboratory. For instance, some of the hospital’s departments close early but this quality indicator will enable any results from the laboratory at different departments in the hospital to be readily available even if these departments close earlier. Additionally, this quality indicator will make it possible to measure the features of the hospital’s laboratory services. For example, the hospital will be able to know if all the services done at the laboratory are effectively done.
Carson, P and Dent, N. 2007. Good clinical, laboratory and manufacturing practices: techniques for the QA professional. London: Royal Society of Chemistry. Pp. 145-245
Dhillion, Balbir. 2008. Reliability technology, human error and quality in health care. Boca Raton, FL: CRC Press. Pp 45-8
Hopp, J. 2004. Quality indicators: a practical guide to assessment and documentation. Hertfordshire: HCPro Publishers. Pp. 12-8