Wk10 Data Driven Decision Making

Week 10: Data-Driven Decision-Making Health Care Administration

 

Simulation 2

As you examined last week, simulation is a useful analytic tool that healthcare administration might use to help enhance healthcare delivery in their health services organization. While it is impossible to anticipate every uncertainty that may impact healthcare delivery in a health services organization, these analytic tools are valuable for informing the types of decision making you enact as a current or future healthcare administration leader. Wk10 Data Driven Decision Making

 

1.This week, you continue examining simulation as an analytic technique for healthcare administration practice. You consider the strength and weaknesses for simulation distributions and continue to apply advanced simulation techniques to address healthcare administration practice problems.

 

Learning Objectives

Students will:

 

· Analyze simulation distributions for healthcare administration practice

· Analyze strengths and weaknesses for simulation distributions

· Apply simulation techniques to healthcare administration practice

 

 

Learning Resources

Note: To access this week’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus. Wk10 Data Driven Decision Making

 

Required Readings

Albright, S. C., & Winston, W. L. (2017). Business analytics: Data analysis and decision making (6th ed.). Stamford, CT: Cengage Learning. Chapter 16, “Simulation Models”

 

Torabi, E., Froehle, C. M., Lindsell, C. J., Moomaw, C. J., Kanter, D., Kleindorfer, D., & Adeoye, O. (2016). Monte Carlo simulation modeling of a regional stroke team’s use of telemedicine. Academic Emergency Medicine, 23(1), 55–62. Note: Retrieved from the Walden Library databases.

 

 

 

Discussion Part

 

Simulation of Telemedicine

 

It may come as no surprise that advances in technology have had a dramatic impact on healthcare delivery. Advances in health information technology, such as patient portals; electronic health records (EHRs) or electronic medical records (EMRs); and real-time coordination of patient care, etc., all have greatly contributed to enhancements in healthcare delivery. However, they too presented several challenges to healthcare administration leaders and clinical staff in how to best orient and implement such technology to enhance healthcare delivery. Wk10 Data Driven Decision Making

 

One such advancement in healthcare technology concerns the use of telemedicine to provide patient care and treatment. While delivery of patient care is usually a direct transaction, interfacing with patients and physicians virtually, or at a distance, could greatly enhance how healthcare services are delivered for certain situations, such as disaster events or in rural locales.

 

1. For this Discussion, review the resources for this week. Reflect on the Torabi et al. (2016) article in the resources for this week, and consider the distributions the authors selected for the given simulation.

 

By Day 3

Post a description of the distributions selected by the authors in the Torabi et al. (2016) article, and then explain whether the distributions selected are appropriate for practice, and why. Explain what was done well in the study, as well as areas of weakness for the considerations described by the authors. Be specific, and provide examples.

 

By Day 5

Continue the Discussion and respond to your colleagues in one or more of the following ways:

 

· Ask a probing question, substantiated with additional background information, evidence, or research.

· Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.

· Offer and support an alternative perspective, using readings from the classroom or from your own research in the Walden Library.

· Validate an idea with your own experience and additional research.

 

· Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple postings.

· Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.

 

Submission and Grading Information

Grading Criteria

To access your rubric:

 

Week 10 Discussion Rubric

 

Post by Day 3 and Respond by Day 5

To participate in this Discussion: Week 10 Discussion

 

 

 

 

Assignment Part

More Advanced Simulation in Health Care

Simulation in health care often involves more than trivial skills. For example, modeling all outpatient clinic operations in a particular facility would probably involve the use of multiple probability distributions and many calculations. Verifying and validating the simulation requires even more technical prowess. Healthcare administration leaders and decision makers must have the knowledge, skill, and abilities to build and understand these simulations. Wk10 Data Driven Decision Making

 

For this Assignment, review the resources for this week, and reflect on the advanced simulation techniques highlighted. Consider how these advanced simulation techniques might apply to specific simulation models in a health services organization, and then complete the problems assigned for the Assignment.

 

The Assignment: (3 pages)

· Complete Problem 45 (Prizdol prescription drug) on page 887 of your course text.

Note: You will be using Excel and @Risk for this Assignment.

 

Problem 45 on Textbook Pg 887

The annual demand for Prizodol, a prescription drug manufactured and marketed by the NuFeel Company, is normally distributed with mean 50,000 and standard deviation 12,000. Assume that demand during each of the next 10 years is an independent random number from this distribution. NuFeel needs to determine how large a Prizodol plant to build to maximize its expected profit over the next 10 years. If the company builds a plant that can produce x units of Prizodol per year, it will cost $16 for each of these x units. NuFeel will produce only the amount demanded each year, and each unit of Prizodol produced will sell for $3.70. Each unit of Prizodol produced incurs a variable production cost of $0.20. It costs $0.40 per year to operate a unit of capacity.

a. Among the capacity levels of 30,000, 35,000, 40,000, 45,000,50,000,55,000, and 60,000 units per year, which level maximizes expected profit?

Use simulation to answer this question.

b. Using the capacity from your answer to part a. NuFeel can be 95% certain that actual profit for the 10-year period will be between what two values?

 

By Day 7

Submit your answers and embedded analysis as a Microsoft Word management report.

 

Submission and Grading Information

To submit your completed Assignment for review and grading, do the following:

 

Please save your Assignment using the naming convention “WK10Assgn+last name+first initial. (extension)” as the name.

Click the Week 10 Assignment Rubric to review the Grading Criteria for the Assignment.

Click the Week 10 Assignment link. You will also be able to “View Rubric” for grading criteria from this area.

Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved as “WK10Assgn+last name+first initial.(extension)” and click Open.

If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database.

Click on the Submit button to complete your submission.

Grading Criteria

To access your rubric:

 

Week 10 Assignment Rubric

 

Check Your Assignment Draft for Authenticity

To check your Assignment draft for authenticity:

 

Submit your Week 10 Assignment draft and review the originality report.

 

Submit Your Assignment by Day 7

To submit your Assignment: Week 10 Assignment

Rubric Detail

Select Grid View or List View to change the rubric’s layout.

Content

Name: DDHA_8800_Week10_Assignment_Rubric

 

• Grid View
• List View

	Excellent	Good	Fair	Not Done
Completes Simulation for Part a	Points: Points Range: 11 (18.33%) – 12 (20%) Correctly completes the simulation for part a Feedback:	Points: Points Range: 9 (15%) – 10 (16.67%) Completes the simulation for part a with some accuracy Feedback:	Points: Points Range: 1 (1.67%) – 8 (13.33%) Completes the simulation for part a with little accuracy Feedback:	Points: Points Range: 0 (0%) – 0 (0%) Does not complete the simulation for part a Feedback:
Maximizing Expected Profit for Part a	Points: Points Range: 11 (18.33%) – 12 (20%) Correctly determines which capacity level maximizes expected profit for part a Feedback:	Points: Points Range: 9 (15%) – 10 (16.67%) Determines which capacity level maximizes expected profit for part a with some accuracy Feedback:	Points: Points Range: 1 (1.67%) – 8 (13.33%) Determines which capacity level maximizes expected profit for part a with little accuracy Feedback:	Points: Points Range: 0 (0%) – 0 (0%) Does not determine which capacity level maximizes expected profit for part a Feedback:
Interprets Results for Simulation for Part a	Points: Points Range: 11 (18.33%) – 12 (20%) Correctly interprets the results of the simulation for part a Feedback:	Points: Points Range: 9 (15%) – 10 (16.67%) Interprets the results of the simulation for part a with some accuracy Feedback:	Points: Points Range: 1 (1.67%) – 8 (13.33%) Interprets the results of the simulation for part a with little accuracy Feedback:	Points: Points Range: 0 (0%) – 0 (0%) Does not interpret the results of the simulation for part a Feedback:
Confidence Internal for Part a	Points: Points Range: 11 (18.33%) – 12 (20%) Correctly generates the confidence interval for part b Feedback:	Points: Points Range: 9 (15%) – 10 (16.67%) Generates the confidence interval for part b with some accuracy Feedback:	Points: Points Range: 1 (1.67%) – 8 (13.33%) Generates the confidence interval for part b with little accuracy Feedback:	Points: Points Range: 0 (0%) – 0 (0%) Does not generate the confidence interval for part b Feedback:
Professional Management Report and APA Compliance	Points: Points Range: 11 (18.33%) – 12 (20%) Writing is organized, concise, and scholarly written with no grammatical errors. Demonstrates consistent use of credible, relevant sources to fully develop ideas. Meets all APA format, citations, and structure requirements. Feedback:	Points: Points Range: 9 (15%) – 10 (16.67%) Writing is organized, concise, and scholarly written with minimal to no grammatical errors. Demonstrates consistent use of credible, relevant sources to support ideas. Minimal to no errors in APA format, citations, and structure. Feedback:	Points: Points Range: 1 (1.67%) – 8 (13.33%) Writing is unclear or interrupted by grammatical errors. Demonstrates some use of credible and/or relevant sources to support ideas. Moderate errors in APA format, citations, and structure. Feedback:	Points: Points Range: 0 (0%) – 0 (0%) Writing lacks clarity, organization and has significant grammatical errors. Demonstrates minimal use of sources to support ideas. Significant errors in APA format, citations, and structure. Or no citing of sources. Feedback:

Show Descriptions Show Feedback

Completes Simulation for Part a–

Levels of Achievement: Excellent 11 (18.33%) – 12 (20%) Correctly completes the simulation for part a Good 9 (15%) – 10 (16.67%) Completes the simulation for part a with some accuracy Fair 1 (1.67%) – 8 (13.33%) Completes the simulation for part a with little accuracy Not Done 0 (0%) – 0 (0%) Does not complete the simulation for part a Feedback:

Maximizing Expected Profit for Part a–

Levels of Achievement: Excellent 11 (18.33%) – 12 (20%) Correctly determines which capacity level maximizes expected profit for part a Good 9 (15%) – 10 (16.67%) Determines which capacity level maximizes expected profit for part a with some accuracy Fair 1 (1.67%) – 8 (13.33%) Determines which capacity level maximizes expected profit for part a with little accuracy Not Done 0 (0%) – 0 (0%) Does not determine which capacity level maximizes expected profit for part a Feedback:

Interprets Results for Simulation for Part a–

Levels of Achievement: Excellent 11 (18.33%) – 12 (20%) Correctly interprets the results of the simulation for part a Good 9 (15%) – 10 (16.67%) Interprets the results of the simulation for part a with some accuracy Fair 1 (1.67%) – 8 (13.33%) Interprets the results of the simulation for part a with little accuracy Not Done 0 (0%) – 0 (0%) Does not interpret the results of the simulation for part a Feedback:

Confidence Internal for Part a–

Levels of Achievement: Excellent 11 (18.33%) – 12 (20%) Correctly generates the confidence interval for part b Good 9 (15%) – 10 (16.67%) Generates the confidence interval for part b with some accuracy Fair 1 (1.67%) – 8 (13.33%) Generates the confidence interval for part b with little accuracy Not Done 0 (0%) – 0 (0%) Does not generate the confidence interval for part b Feedback:

Professional Management Report and APA Compliance–

Levels of Achievement: Excellent 11 (18.33%) – 12 (20%) Writing is organized, concise, and scholarly written with no grammatical errors. Demonstrates consistent use of credible, relevant sources to fully develop ideas. Meets all APA format, citations, and structure requirements. Good 9 (15%) – 10 (16.67%) Writing is organized, concise, and scholarly written with minimal to no grammatical errors. Demonstrates consistent use of credible, relevant sources to support ideas. Minimal to no errors in APA format, citations, and structure. Fair 1 (1.67%) – 8 (13.33%) Writing is unclear or interrupted by grammatical errors. Demonstrates some use of credible and/or relevant sources to support ideas. Moderate errors in APA format, citations, and structure. Not Done 0 (0%) – 0 (0%) Writing lacks clarity, organization and has significant grammatical errors. Demonstrates minimal use of sources to support ideas. Significant errors in APA format, citations, and structure. Or no citing of sources. Feedback:

Total Points: 60

Name: DDHA_8800_Week10_Assignment_Rubric