Data-Driven Decision Making in Health Administration
As a current or future healthcare administration leader, how might you execute data-driven decision making? What types of data might be most useful to you as a healthcare administrator, and how might this data emerge from workflow processes?
Healthcare administration leaders face many challenges when managing a health services organization. Not surprisingly, copious amounts of data and reports come across the healthcare administrator’s desk. In an effort to ensure effective and efficient healthcare delivery, healthcare administrators must understand how to interpret, implement, and consider the systems’ perspective on how their health services organization is performing.
This week, you examine healthcare leaders and their roles in data-driven decision making. You also explore the challenges of using big data for decision making. You then evaluate distributions for a variable of interest, including how to analyze relationships among variables.
· Analyze healthcare leader roles in data-driven decision making
· Analyze challenges and ethical concerns in use of big data for decision making
· Evaluate the distribution of a single variable
· Analyze relationships among variables
Photo Credit: [filo]/[Digital Vision Vectors]/Getty Images
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.
Albright, S. C., & Winston, W. L. (2017). Business analytics: Data analysis and decision making (6th ed.). Stamford, CT: Cengage Learning.
Chapter 1, “Introduction to Business Analytics”
Chapter 2, “Describing the Distribution of a Single Variable”
Chapter 3, “Finding Relationships Among Variables”
Kohane, I. S. (2015). Health care policy: Ten things we have to do to achieve precision medicine. Science, 349(6243), 37–38.
Health Care Policy: Ten Things We Have to do to Achieve Precision Medicine by Kohane, I. S., in Science, Vol. 349/Issue 6243. Copyright 2015 by American Association for the Advancement of Science. Reprinted by permission of American Association for the Advancement of Science via the Copyright Clearance Center.
Zwitter, A. (2014). Commentary: Big data ethics. Big Data & Society, 1–6. Document: Covenant Data File (Excel Spread spreadsheet).
Document: Covenant Data File [Excel spreadsheet]
Fitch Learning. (2011, July 6). Improve your efficiency in Excel—VLOOKUP and pivot tables by 7city.com [Video file]. Retrieved from https://www.youtube.com/watch?v=TFhAwrzCg8A&feature=youtu.be
Discussion( 2 pages).
Leader’s Roles in Supporting Data-Driven Decision Making
Healthcare leaders must understand and convey the importance of data-driven decision making to external and internal stakeholders. As mentioned in the resources for this week, the need for business analysts (data scientists) continues to grow both in management and in healthcare delivery.
· For this Discussion, review the resources for this week, and reflect on a healthcare leader’s roles in supporting data-driven decision making as well as potential challenges and ethical concerns that might exist.
By Day 3
Post your vision of a healthcare leader’s roles in supporting data-driven decision making. Explain some of the challenges and ethical concerns that you believe might exist in the use of big data for decision making. 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
To access your rubric:
Week 1 Discussion Rubric
Post by Day 3 and Respond by Day 5
To participate in this Discussion: Week 1 Discussion
Assignment(5 pages APA format 7th
Covenant Hospital Clinic Staffing
Covenant Hospital operates a main hospital and three outlying clinics in a medium-size city. All four locations perform similar outpatient services, and patients typically visit the location nearest them. The hospital has recently had more congestion—longer waiting lines—than it (or its patients) would like. As part of a study to learn the causes of these long lines and to suggest possible solutions, all locations have kept track of customer arrivals during 1-hour intervals for the past 10 weeks. All locations are open Monday through Friday from 9 a.m. until 5 p.m. and on Saturday from 9 a.m. until noon. For each location, the hospital and clinics collected data that contains the number of customer arrivals during each hour of a 10-week period. The manager of Covenant has hired you to make some sense of these data. Specifically, your task is to present charts and/or tables that indicate how customer traffic into the hospital locations varies by day of week and hour of day. There is also interest in whether any daily or hourly patterns you observe are stable across weeks. Although you don’t have full information about the way the hospital currently runs its operations—you know only its customer arrival pattern and the fact that it is currently experiencing long lines—you are encouraged to append any suggestions for improving operations based on your analysis of the data.
For this Assignment, download and review the Covenant Hospital data file in this week’s resources. Reflect on what analyses might be required to address the manager’s request.
The Assignment: (5 pages)
· Submit your answers and embedded Excel analysis as a Microsoft Word management report.
· Be sure to adhere to APA 7th format when generating your management report.
By Day 7
Submit your Assignment.
Submission and Grading Information
To submit your completed Assignment for review and grading, do the following:
Please save your Assignment using the naming convention “WK1Assgn+last name+first initial. (extension)” as the name.
Click the Week 1 Assignment Rubric to review the Grading Criteria for the Assignment.
Click the Week 1 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 “WK1Assgn+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.
To access your rubric:
Week 1 Assignment Rubric
Check Your Assignment Draft for Authenticity
To check your Assignment draft for authenticity:
Submit your Week 1 Assignment draft and review the originality report.
Submit Your Assignment by Day 7
To submit your Assignment: Week 1 Assignment.
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