Monday, October 7, 2019
Biomedical Informatics Essay Example | Topics and Well Written Essays - 1000 words
Biomedical Informatics - Essay Example The Six Sigma refers to a quality level that is prone to minimal operational or experimental errors. In statistical analysis, Six Sigma represents standard deviation that indicates the level of variation in an experiment or operation (Pokharkar et al. 1160). The highly disciplined strategy entails three elements that include process improvement, re-design, and process management (Pokharkar et al. 1161). The Six Sigma strategy was initially dominant in the manufacturing industry where it played a noble role in meeting the clientââ¬â¢s needs based on the DMAIC method (Snee 4). However, other industries including the health care industry have since adopted the six-sigma strategy to address the heightened competitive market pressures (Pokharkar et al. 1160-1163). Indeed, Lean and Six Sigma strategies have been fundamental in clinical and translational research where they enhance various processes. The strategy can achieve this by eliminating delays and errors, enhancing quality, and facilitating the timely adoption of biomedical discoveries. The NIH Roadmap for Biomedical Research and the NIH Clinical and Translational Science Award program recognize the potential of the six-sigma quality improvements in clinical trials (Schweikhart and Dembe 748). Various scholars establish that Lean and Six Sigma relate and try to improve total quality management by deriving a more discrete and me asurable operation. The strategy also quantifies results and aims at delivering certain quality improvements within a given period. Clinical trials rely on six-sigma quality improvements to concentrate on process management, adopt standardized method for monitoring process improvement, and making sure that the trials address the clientsââ¬â¢ needs. In most cases, the six sigma strategy works together with the lean strategy, which aims at improving delivery time, reducing operation costs, minimizing cycle times, and
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