HMGT 320 Week 3 Discussion

HMGT 320 Week 3 Discussion

Fishbone diagram also is known as effect and cause diagram. It’s a visual diagram which helps to brainstorm on possible causes of a problem and the consequences resulting from the problem. Just like the name, the layout is structured like a fish where the effect or cause is put at the mouth. The possible causes or effects are then listed in various categories thus allowing the people to brainstorm on all the possibilities. When developing the diagram, the first step is to come up with a problem statement which serves as a guide to identify all the significant categories which the causes can be classified into (Chang, 2015). Using the defined classes, the people can generate an exhaustive list of causes or effects by brainstorming. To enhance healthcare delivery when using a fishbone diagram, after classifying the significant categories of the causes, one should leave spaces which are big enough to list all possible causes. By doing so, the healthcare service providers will be sure to address all the causes.

Quality improvement in healthcare is aimed at enhancing effectiveness, efficiency, and safety. Both quantitative and qualitative healthcare improvement is essential, especially with science and technology advancement. Quality improvement is remarkable because it improves the services offered in a health facility leading to better results. For instance, a patient’s health information can reflect directly to the health specialist they want to see; hence the service provider will have all the medical report of the patient to help in diagnosing the patient. This also lessens the work as the information in soft copy can be shared to all specialist; the doctor to make the diagnosis, pharmacist to prescribe drugs and so on. Therefore, quality improvement is essential to give desired outcomes in the health sector at a lesser cost.

 

 

References

Chang, H. (2015). Evaluation framework for telemedicine using the logical framework approach

and a fishbone diagram. Healthcare informatics research21(4), 230-238.