A case study on early detection, prediction and prevention of heart disease in a multispecialty hospital by applying six sigma methodologies

V. Nirmala¹ , K.K. Suresh²

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.4 , pp.1-8, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i4.18

Online published on Aug 31, 2018

Copyright © V. Nirmala, K.K. Suresh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Survey report on predicting positive Coronary Artery Disease from symptoms and evolving a diagnostic package for the 128 sliced computed tomography for a multispecialty hospital by using six sigma methodologies. Materials and methods Dynamic 128-slice Computed Tomography Scan was performed in patients admitted to the radiology department among October 2013 to January 2014. This paper deals with the data based decision making process by implementing Zero defect quality, Six Sigma methodologies. The presentation makes an attempt to study the “Existing process of numerous data generation” towards zero defect quality and make the Computed Tomography Scan diagnostic intelligent technology aware among the common man in bringing awareness on “Early Detection, Prediction and Prevention”. To continuously upgrade the technology for an early diagnosis and to render excellent quality treatment to the patients.

Key-Words / Index Term :
Six Sigma, Quality, DMAIC, Breakthrough improvement, mini tab 17 software.

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