护理essay作业代写 Physician Care Services, Inc.

护理essay作业代写

Physician Care Services, Inc.

护理essay作业代写 The first thing that needs to be considered is how many patients are visiting every day, what their wait time is, and then how

Introduction  护理essay作业代写

This assignment is a continuation of the previous assignment, on Physician Care Services. The level of competition is increasing with the passage of time. Physician Care services has multiple service centers with their own mechanism and number of people. In order for the business to be profitable and effective, performance management systems need to be in place.

Many of the physicians have been seen to file complaints stating that they are overworked and in times of rush hour, they do not have enough time to pay greater attention to each payment, so there may be cases of neglect. Some of the physicians have requested for an increase in pay, especially during the peak times.

Therefore, in order to address these concerns, proper performance metrics need to be in place, to assess the efficiency of each employee along with their productivity. Mainly the productivity of the employee is measured by assessing how many tasks have been completed per day. In peak hours, how many patients were managed by one physician, and how well were they treated? Was the quality of the service maintained throughout, or did it drop as the number of patients increased? These factors need to be considered in order to determine the productivity levels of each employee.  护理essay作业代写

护理essay作业代写

Metrics to Measure Productivity

The first thing that needs to be considered is how many patients are visiting every day, what their wait time is, and then how long it usually takes for a physician to attend to the patient on average. The output is the number of satisfied patients. The number of hours each employee spends at work, along with how much work has been completed helps in identifying loopholes, and gaps that need to be addressed.

Dividing the output by the input to arrive at a per-hour figure (or other time period) along with per day figure will give a clearer picture of what needs to be done and how. How things are progressing and how things should progress will be clear from the data. Then a value can be assigned which can serve as the benchmark of optimal performance. This will enable us to measure cost-benefit ratio.

The data that has been gathered for the month of August is helpful in determining.  护理essay作业代写

How many occupational health visits were made in a month. It also segregates the data for private visits, which helps in understanding the trend of how many visits can be expected in a month and per week, thereby, distributing the staff accordingly. It also shows a summary of the gross amount earned by these visits. It then shows the visits for Alpha and Beta centers, thereby, giving an idea of the incoming number of customers at each location. This will help in identifying the peak days of both centers.

This data is quite useful for the organization, and it can be used to conduct a trend analysis, measure productivity and even come up with strategies for future growth. Potential for the organization’s success is something that can be determined using this data. It is also quite useful in predicting the future sales growth, and even will help in coming up with plans to help with the issues that are being faced by the organization.

Conclusion

To conclude, I think that only through proper data collection and analysis, can proper and effective decisions be taken. Therefore, the data that has already been collected by the organization is something that can help in driving decision and developing strategies for future growth.

References  护理essay作业代写

Steff Green, 2016, Productivity Metrics: What Are They, How to Track Them, And Do You Even Need Them? retrieved 4-1-18 from,

https://www.workflowmax.com/blog/productivity-metrics-what-are-they-how-to-track-them-and-do-you-even-need-them

OECD Manual, Measuring Productivity, MEASUREMENT OF AGGREGATE AND INDUSTRY-LEVEL PRODUCTIVITY GROWTH, retrieved 4-1-18 from;

https://www.oecd.org/std/productivity-stats/2352458.pdf

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