The mounting importance of operations research (O.R.) in the healthcare sector has become a landmark in decision-making strategy. O.R. can offer tools and methodologies can be used in analyzing the most difficult problems facing decision makers. One of the main areas that O.R. practice has outstanding contribution is in the field of healthcare decisions. It is mandatory to implement procedures that optimize the usefulness of data collected even when the data is scanty and oblique. This research presents a case study of analyzing the relationship between the diabetic people with a genetic factor (family history) and the level of sugar in blood and urine. Modeling tools were applied to define the existing relationship. Data of more than 600 patients were collected from Baghdad – Iraq hospitals for the study and analyzed using the probability techniques and hypothesis testing instruments. The use of the statistical tools allowed us to identify a significant relationship between the family history and diabetes in our collected sample. A model was formulated to estimate the severity of risk being diabetes with regards to the Probability that an individual selected from the population has diabetes. © Serials Publications Pvt. Ltd.

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