Identifying And Fixing Errors Case Study

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Statistics in Healthcare The author of this report has been presented with a case study scenario that involves one Ben Davis and another man named Juan de Pacotilla. The former is a young student who has just completed a Statistical Thinking for Business Improvement course and the latter is a pharmacy manager who is ostensibly about to lose his job due to a glut of errors relating to the dispensing of medications that are either the wrong drug or the wrong dosage of the right drug. Juan has spoken to another statistician but the person has been less than helpful in relation to this problem and Juan is now desperate. He sees Ben as a closer ally because Ben actually works in the pharmacy and thus sees thing first-hand. The ostensible task that Ben has been given is to nail down precisely what is going wrong using statistical data and help noticeably reduce the error rate using the data gleaned from the statistical research. While some may be daunted by the problem presented in this case, the way to figure out the problem is not all that hard.

Analysis

The author of this report has first constructed and drawn out a simple process map. This map is shown in the appendix. It shows the basic steps involved with each prescription. To state the obvious, if an error is made it will happen at one or more of those different points in the process. For example, one potential error point might happen when translating a prescription from a hand-written slip to the system. Indeed, the drug name itself might be copied...

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Another example of a point at which someone can make a mistake is by reading the prescription wrong after it is in the system while it is being filled. The thing about this how process is that the two points above are really the only two points where an error could be made. As such, nailing down what precisely is going wrong should not be all that hard to pull off.
The first step will be to focus on the prescriptions as they are received. So often, prescriptions are mostly printed out (except for the signature of the physician or practitioner, obviously), they are phoned in or they are sent entirely electronically. The last of those three should be the most fool-proof given that if anyone makes an error with that prescription, it would probably be the by the doctor and not the pharmacist. Regardless, if there is any doubt about the prescription, there should be research done regarding the perceived accuracy of the slip or other information form that is presented. The history of a person's prescriptions are often a very good clue. If a person is taking a medicine on a consistent basis, there will likely not be a change unless there is a medical reason for it. If there has been a change, the patient will probably know about it and the patient can be asked. To be even surer, the pharmacy can reach out to the doctor before even filling the prescription to ensure that the prescription was filled out right and/or is being read correctly.…

Sources Used in Documents:

References

HRSA. (2015). How does e-prescribing work?. Hrsa.gov. Retrieved 31 October 2015, from http://www.hrsa.gov/healthit/toolbox/HealthITAdoptiontoolbox/ElectronicPrescribing/epreswork.html

THA. (2015). Prescription Verification Tips for the NEW Pharmacist or Student -- The Honest Apothecary -- . Thehonestapothecary.com. Retrieved 31 October 2015, from http://www.thehonestapothecary.com/2015/01/22/prescription-verification-tips-for-the-new-pharmacist-or-student/

Appendix -- Process Map


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