Annotated Bibliography on the Impact of Automation in Blood Science (Annotated Bibliography Sample)

The Impact of Automation in Blood Science
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Annotated Bibliography on the Impact of Automation in Blood Science
Giles, I 2005, 'Hematology automation aids in athletic testing', MLO: Medical Laboratory Observer, 37, 7, pp. 22-24.
The paper investigated the complexities entailing automation, its use in dofferent situations, and the implementation of its use in different sectors such as in medical laboratory. The results showed that automation is aiding in testing athletes for doping, alleviates labour shortage, reduce cost of running tests, as well as optimizing the effectiveness, accuracy, and functioning of haematology laboratories. The paper concluded that the impact of automation in blood science is crucial in detecting doping in blood because screening athletes for doping irregularities uses indirect approaches which can be time consuming, expensive, and firm evidence is mandatory.
Grotto, H, Vigoritto, A, Noronha, J, & Lima, G 1999, 'Immature reticulocyte fraction as a criterion for marrow engraftment. Evaluation of a semi-automated reticulocyte counting method', Clinical & Laboratory Haematology, 21, 4, pp. 285-287.
The paper investigated the contribution of automation in haematogy evaluation studies. The results showed that reticulocyte count and analysis has been improved by automation of the counter to increase its performance. For example, it was found that automated flow cytometric analysis or reticulocyte count has more sensitivity and precision than the initial manual counting of reticulocytes. It was, therefore, concluded that automation has enabled blood scientists working in the laboratories to accurately quantify the maturity of blood cells and the reticulocyte maturity index, which is a useful predictor of bone marrow viability or regeneration capacity in relation to bone transplant.
Patel, N 2014, 'Automation in hematology', MLO: Medical Laboratory Observer, 46, 1, pp. 6- 11.
The paper aimed at analyzing the development and contributions of automation in haematology. The results showed that automation in blood science has enabled haematologists to employ both supporting and analytic software capabilities for reporting or analyzing different cell lines, maturity stage, and integrate haematological parameters. Automation augments therapeutic decisions of medical personnel, for example, information on thrombocytopenia, impaired erythropoiesis, and abnormal cells, helps in deciding on therapeutic pathway, monitoring therapy, and determining the progress of diseased patients who need close monitoring. It was concluded that automation in blood science has improved clinical decision making, laboratory analysis, staff shortages, standardization of quality, and cross-testing of samples.
Patel, N, & Joksch, S 2014, 'Diabetes testing in hematology: Is it a solution for your lab?', MLO: Medical Laboratory Observer, 46, 10, pp. 34-38.
The paper aimed at investigating the application of automation in blood science in relation to diagnosing, monitoring therapy, and making informed opinions of management of diabetic patients. It explored the possibility of using automation in measuring glycosylated haemoglobin in order to reduce the number ot times phlebotomy is done for investigations. The results showed that the same principle applied in automation studies for other blood parameters can be used in testing and monitoring diabetes mellitus through automated testing of haemoglobin A1c. It was concluded that automation of haematological investigations has resulted in reducing blood draw volume for laboratory and investigations for monitoring hyperglycaemic control in diabetic patients.
Trippiedi, C 2015, 'Digital cell images analyzers in the hematology laboratory', MLO: Medical Laboratory Observer, 47, 2, p. 28.
The study investigated the contribution of automation in regard to digital cell analyzers. The findings indicated that digital cell analyzers have demonstrated high levels of haematology laboratory improvement because cell images are analyzed accurately. The technology has reduced manual labour, ensured quality, and testing large sample volume in short turnaround time....