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A Major Health Management Organization

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Case Study: Statistical Thinking in Health Care
Samantha Norman
Dr. Zohre Ardalani
MAT510: Business Statistics
Strayer University
February 1, 2016

A major Health Management Organization (HMO), has received numerous complaints and even has been involved in a few lawsuits over inaccurate prescriptions. Juan de Pacotilla , the manager for this HMO Pharmacy, has even hired a statistical consultant to analyze the data on inaccurate prescriptions, but is very disappointed with his performance. Juan was about to be fired from his position, and has asked Ben Davis, his assistant, to help in solving the issues relating to inaccurate prescriptions. A dispensing error is a discrepancy between a prescription and the medicine …show more content…

Dispensing the wrong information on the label, incorrect drug name, incorrect instructions, and the list goes on. By developing a process map for the prescription process for the HMO pharmacy, in which I will specify the key problems that the HMO’s pharmacy may be experiencing. Also, I will use the the supplier, input, process steps, output and customer (SIPOC) model to analyze the HMO pharmacy’s business process. Using this model it can be assumed that the HMO pharmacy can experience mistakes from all levels of the business process (Hoerl & Snee, 2012).
5-)Pharmacy assistant gives (incorrect) medication to patient
1)Patient goes to doctor with their issue/sickness
9)Patient receives (wrong) medication-they get sick

6)Pharmacist gives incorrect medication to pharmacy assistant
2)Physician writes the prescription

3)Prescription deliver to pharmacy
7)Pharmacist reads and dispenses prescription

4)Pharmacy assistant misreads prescription (barley legible)
8)Pharmacy assistant gives prescription to pharmacist

Several mistakes can be encountered from the time the patient drops off the prescription to the time it’s filled and the patient is given the wrong medication. Based on my process map, these problems can be a result from ordering, transcribing,

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