Case Study 1-Statistical Thinking in Healthcare

Statistical Thinking in Health Care 1 Case Study: Statistical Thinking in Health Care Marquise Daniels Dr. Peter Sue MAT 510 Statistical Thinking in Health Care on 12 May 2015 2 In this case study I will explain by HMO pharmacy Assigned drug error problems The dispensing error rate is generally low, but further improvement in interpharmacy distribution systems is still important, as pharmacies allocate such large amounts of medication. Even with a low error rate, it can be equivalent to a number of litigation counterparts. Larger money In order to distribute errors in outpatient medical institutions in the US and Europe and regional pharmacies further research is needed. Among all the errors mentioned, I think that distribution errors are the most common

I found it applicable to medical science. Fierce Healthcare recently published an article focused on research by the American Journal of Managed Healthcare. "As with the reported C statistic, the other commonly used risk stratification tools, as well as the reported predictive accuracy of PCP assessment in our research (C statistics, 0.77; 95% CI, 0.75 - 0.79) This is because they understand the patient.This combination of individual patient data and personal understanding between the patient and the health care provider

In this task we will explore various uses of the statistics used in the healthcare environment. Statistics in the healthcare field are used in various fields such as personnel, employee retention, patient satisfaction, and many other names. Hospitals use this information to save money and identify areas that need improvement in order to improve various workflows. In today's medical environment, it is much easier to display these statistics by implementing an electronic medical record. The statistical information is filtered by the computer for several days to several weeks and is acquired in minutes or seconds.