Question

In: Operations Management

Case Study : Customers drop off their prescriptions either in the drive-through counter or in the...

Case Study :

Customers drop off their prescriptions either in the drive-through counter or in the front counter of the pharmacy. Customers can request that their prescription be filled immediately. In this case, they have to wait between 15 minutes and one hour depending on the current workload. Most customers are not willing to wait that long, so they opt to nominate a pickup time at a later point during the day. Generally, customers drop their prescriptions in the morning before going to work (or at lunchtime) and they come back to pick up the drugs after work, typically between 5pm and 6pm.When dropping their prescription, a technician asks the customer for the pick-up time and puts the prescription in a box labeled with the hour preceding the pick-up time. For example, if the customer asks to have the prescription be ready at 5pm, the technician will drop it in the box with the label 4pm (there is one box for each hour of the day). Every hour, one of the pharmacy technicians picks up the prescriptions due to be filled in the current hour. The technician then enters the details of each prescription (e.g. doctor details, patient details and medication details) into the pharmacy system. As soon as the details of a prescription are entered, the pharmacy system performs an automated check called Drug Utilization Review (DUR). This check is meant to determine if the prescription contains any drugs that may be incompatible with other drugs that had been dispensed to the same customer in the past, or drugs that may be inappropriate for the customer taking into account the customer data maintained in the system (e.g. age). Any alarms raised during the automated DUR are reviewed by a pharmacist who performs a more thorough check. In some cases, the pharmacist even has to call the doctor who issued the prescription in order to confirm it. After the DUR, the system performs an insurance check in order to determine whether the customer’s insurance policy will pay for part or for the whole cost of the drugs. In most cases, the output of this check is that the insurance company would pay for a certain percentage of the costs, while the customer has to pay for the remaining part (also called the co-payment). The rules for determining how much the insurance company will pay and how much the customer has to pay are very complicated. Every insurance company has different rules. In some cases, the insurance policy does not cover one or several drugs in a prescription, but the drug in question can be replaced by another drug that is covered by the insurance policy. When such cases are detected, the pharmacist generally calls the doctor and/or the patient to determine if it is possible to perform the drug replacement. Once the prescription passes the insurance check, it is assigned to a technician who collects the drugs from the shelves and puts them in a bag with the prescription stapled to it. After the technician has filled a given prescription, the bag is passed to the pharmacist who double-checks that the prescription has been filled correctly. After this quality check, the pharmacist seals the bag and puts it in the pick-up area. When a customer arrives to pick up a prescription, a technician retrieves the prescription and asks the customer for payment in case the drugs in the prescription are not (fully) covered by the customer’s insurance.

1. What type of process is the above one: order-to-cash, procure-to-pay or issue-to-resolution?

2. Who are the actors in this process? Who is/are the customer(s)?

3. What are the tasks of this process?

4. What value does the process deliver to its customer(s)?

5. What are the possible outcomes of this process?

6. Taking the perspective of the customer, what performance measures can be attached to this process?

7. What potential issues do you foresee this process might have? What information would you need to collect in order to analyze these issues?

8. What possible changes do you think could be made to this process in order to address the above issues?

Solutions

Expert Solution

1. What type of process is the above one: order-to-cash, procure-to-pay or issue-to-resolution? Issue-to-resolution since it involves a series of steps wherein there is inventory check, certifying whether the prescribed drug is suitable for the patient(customer), communicating with doctor, checking insurance policy of individual customers, suggesting and confirming regarding substitute with doctor and patient, quality check. Thus, the process is detailed and aimed at providing best Medicine to the patient.

2. Who are the actors in this process? Who is/are the customer(s)? The actors of the process are the pharmacist and the staff at the pharmacy. While, patients are the customers.

3. What are the tasks of this process? - the tasks involve taking order, prescription and time of delivery from patient, checking stock, confirming it's suitability with customer past health record, discussing with doctor if required, checking insurance coverage of the patient, asking doctor and patient regarding substitute drug suitability as insurance policy and patient suitability.insurance check, physically collecting the drugs in a bag and sealing the bag with prescription stapled, quality check performed by pharmacist, handing over to customer and receiving payment in case the customer is not fully covered by insurance.

4. What value does the process deliver to its customer(s)?

The pharmacist not only confirms whether the prescribed drug is suitable for the patient but also confirms with the doctor regarding use of drug replacement to avail insurance coverage. Thus, the pharmacy exhibits a proactive role in catering customer's said as well as unsaid demands.

5. What are the possible outcomes of this process? - customer satisfaction, ensuring secured payment cycle I.e. ensuring the pharmacy receives payment, customer loyalty.

6. Taking the perspective of the customer, what performance measures can be attached to this process? - time to execute the order from prescription submission to payment receipt. This will be the total process time, as it will determine the customer wait time.

7. What potential issues do you foresee this process might have? What information would you need to collect in order to analyze these issues? - wait time is considerably longer. Also, due to this the customers opt to drop prescription in the morning or afternoon and collect it in the evening after work. Thus, they need to visit the pharmacy twice. Also, the entire process is human dependent, thus, there is scope for manual errors.

8. What possible changes do you think co uld be made to this process in order to address the above issues?

The confirmation of suitability of the drug can be done by the doctor. Also, checking for replacement drug in case of insurance policy coverage can be a proactive action. Payment cycle needs to be streamlined. If the entire process is made error free and perfect, quality check may be eventually eliminated. Also, the checking and verification with system must be software oriented.


Related Solutions

Customers drop off their prescriptions either in the drive-through counter or in the front counter of...
Customers drop off their prescriptions either in the drive-through counter or in the front counter of the pharmacy. Customers can request that their prescription be filled immediately. In this case, they have to wait between 15 min and 1 h depending on the current workload. However, most customers are not willing to wait that long, so they opt to nominate a pick-up time at a later point during the day. Generally, customers drop their prescriptions in the morning before going...
Consider the following process at a pharmacy. Customers drop off their prescriptions either in the drive-through...
Consider the following process at a pharmacy. Customers drop off their prescriptions either in the drive-through counter or in the front counter of the pharmacy. Customers can request that their prescription be filled immediately. In this case, they have to wait between 15 minutes and one hour depending on the current workload. Most customers are not willing to wait that long, so they opt to nominate a pickup time at a later point during the day. Generally, customers drop their...
Exercise 1.6 Consider the following process at a pharmacy. Customers drop off their prescriptions either in...
Exercise 1.6 Consider the following process at a pharmacy. Customers drop off their prescriptions either in the drive-through counter or in the front counter of the pharmacy. Customers can request that their prescription be filled immediately. In this case, they have to wait between 15 minutes and one hour depending on the current workload. Most customers are not willing to wait that long, so they opt to nominate a pickup time at a later point during the day. Generally, customers...
Accuracy of Fast Food Drive-Through Orders In a study of Burger King drive-through orders, it was...
Accuracy of Fast Food Drive-Through Orders In a study of Burger King drive-through orders, it was found that 264 orders were accurate and 54 were not accurate. For McDonald’s, 329 orders were found to be accurate while 33 orders were not accurate (based on data from QSR magazine). Use a 0.05 significance level to test the claim that Burger King and McDonald’s have the same accuracy rates.
Customers arrive at the drive-through window at McDonalds restaurant at the rate of 4 every 10...
Customers arrive at the drive-through window at McDonalds restaurant at the rate of 4 every 10 minutes. The average service time is 2 minutes. The Poisson distribution is appropriate for the arrival rate and service times are exponentially distributed. If a second/new drive-through window is to be considered, only one line would be formed. Also, the clerk at the new window would work at the same rate as the current one. Help the restaurant manager find the following performance parameters:
The average time between arrivals of customers at a fast food restaurant drive through is 4...
The average time between arrivals of customers at a fast food restaurant drive through is 4 minutes. Assuming an exponential distribution, what is the probability that the next customer arrives in less than 3 minutes? Group of answer choices 39.35% 52.76% 47.24% 60.65% 75.00% If u can please show excel input
Case Study 8.1 In February 2017 the price of a daily pass to drive on a...
Case Study 8.1 In February 2017 the price of a daily pass to drive on a Volusia County beach was $10, and at that price 26,467 daily passes were sold. In February 2018 the price of a daily pass rose to $20, and at that price the number of daily passes sold dropped to 17,994. What is the elasticity of demand for the daily pass? Is the demand elastic or inelastic? Explain the meaning of your answer in the context...
The manager of a fast-food restaurant wants to reduce the proportion of drive-through customers who have...
The manager of a fast-food restaurant wants to reduce the proportion of drive-through customers who have to wait longer than 2 minutes to receive their food after placing an order. Based on store records, the proportion of customers who had to wait longer than 2 minutes was p = 0.63. To reduce this proportion, the manager assigns an additional employee to assist with drive-through orders. During the next month, the manager will collect and random sample of drive through times...
The manager of the local Hamburger Express wishes to estimate the mean time customers spend at the drive-through window.
The manager of the local Hamburger Express wishes to estimate the mean time customers spend at the drive-through window. A sample of 20 customers experienced a mean waiting time of 2.65 minutes, with a standard deviation of 0.45 minute. Develop a 90% confidence interval for the mean waiting time.
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 257 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 257 accurate orders and 73 that were not accurate. a. Construct a 95​% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part​ (a) to this 95​% confidence interval for the percentage of orders that are not accurate at Restaurant​ B: 0.202less thanpless than0.284. What do you​ conclude? a. Construct a 95​% confidence interval. Express the percentages in...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT