Medical Case Study DMAIC- Using Minitabs

Medical Case Study DMAIC- Using Minitabs

You work for a government agency and your management asked you to take a look at data from prescription drugs administered at hospitals in your geography.

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She asked you to analyze the data with some common tools and build a DMAIC model for how you would work with the hospitals to improve results, since their performance is below the average. She would like a simple model for you to present to her that you will propose to representatives from the hospitals. The hospital representatives will have to be brought on board and understand the issues and their role in the study.

Medical Case Study with Minitab for solutions

 

Background: You work for a government agency and your management asked you to take a look at data from prescription drugs administered at hospitals in your geography.

She asked you to analyze the data with some common tools and build a DMAIC model for how you would work with the hospitals to improve results, since their performance is below the average. She would like a simple model for you to present to her that you will propose to representatives from the hospitals. The hospital representatives will have to be brought on board and understand the issues and their role in the study.

 

 

Use the DMAIC model from the course material to create a model of the effort to be completed by the hospitals.

 

Define:

1. What would you say about the DMAIC model to the hospital staff on your team?

2. Write a problem statement for the work you are considering.

3. Develop a team charter so that each of the representatives understands what is expected of them and to brainstorm improvements upon it.

4. What are the key deliverables of the define step that you expect of the team?

 

Measure:

1. What activities would you propose that the team work on?

2. What measures would you propose to the team to pursue?

3. What data collection would you propose?

4. What are the key steps to get to items 1-3 above?

 

Analyze: Prepare data to show the team about the extent of the problem:

 

1. A Pareto chart of the errors from the Error Type chart below

1. What would you suggest the team focus upon?

2. What would you tell the team about the data they need to collect and what will be done with it?

2. Another example of measures is the administration of Drug A, which needs to be administered every 30 minutes. The requirement for the drug is to be administered no more than 3 minutes early or 3 minutes late or between 27-33 minutes. Make a histogram of the data below (Time between administration of drug chart). What is it saying about the process?

3. Do a normalcy test. Is that a normal distribution?

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Improve:

1. You don’t have a process flow or any information on how hospitals administer drugs or their improvement plans if any. What would you tell the participants about what is expected in this phase of the program?

 

Control:

1. What are the key steps for control?

2. Develop a sample response plan that you would use to show the team what is expected to be done.

3. What are the key deliverables for this step?

 

 

Test data in Excel format:

 

Error Type Type of High Alert Medication Error
Omission 8461
Improper dose/quantity 7124
Unauthorized/wrong drug 5463
Prescribing error 2923
Wrong Time 2300
Extra Dose 2256
Wrong patient 1786
Mislabeling 636
Wrong dosage form 586
Wrong administration 335
Drug prepared incorrectly 311
Wrong route 252
Other 113
  32546

 

 

 

 

 

 

 

 

 

Observation Time between administration of Drug
1 35.5
2 26.2
3 31.6
4 26.4
5 28.5
6 24.6
7 26.1
8 29.4
9 33.6
10 38.8
11 27.0
12 27.2
13 19.9
14 32.0
15 23.7
16 28.3
17 25.6
18 26.7
19 24.5
20 28.6
21 23.4
22 29.5
23 27.1
24 28.3
25 31.3
26 27.4
27 25.0
28 24.6
29 27.9
30 29.2
31 28.6
32 23.4
33 29.5
34 27.1
35 28.3
36 31.3
37 27.4
38 25.0
39 24.6
40 27.9
41 28.6
42 23.4
43 29.5
44 27.1
45 28.3
46 31.3
47 27.4
48 25.0
49 24.6
50 40.0

 

 

 

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