Assignment: Clinical Drug or Pack
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Week 6 discussion
DQ1 Discuss how using a standard terminology like SNOMED CT helps achieve meaningful use. Use 2–3 specific examples.
DQ2 Review the ISMP List of High-Alert Medications in Acute Care Settings document at this link: https://www.ismp.org/tools/highalertmedications.pdf
Complete a search for one of the medications from the ISMP lList. Discuss your findings (e.g., a search for “digoxin” returns one element in “ingredient,” three elements in Brand Name, four elements in dose form group, and 10 elements of “Clinical Drug or Pack”). Share your findings.
You can use https://www.nlm.nih.gov/research/umls/rxnorm/overview.html as an additional reference.
Week 1 MS Access (or OpenOffice Base for MAC users): Relational Database
PC Users:
Install Microsoft Access if you don’t already have it (available through your student Microsoft 365 account).
Complete the related MS Access training tutorials located in the Assignment Resources below.
Create a simple relational database using information provided in a data set.
You may use one of the student files for chapter 3 provided in the Doc Sharing blog (Access files end in .mdb), a data set from https://www.data.gov/ or a data set you already have of your own.
Submit a screenshot of your completed database along with your relational database file for grading.
Mac Users:
Download and install OpenOffice Base from the following link: http://www.openoffice.org/product/base.html
View the OpenOffice Base videos located in the Assignment Resources below.
Create a simple relational database using information provided in a data set.
You can find a data set from https://www.data.gov/ or use a data set you already have of your own.
Submit a screenshot of your completed database along with your relational database file for grading.
Week 2 MS Access (or OpenOffice Base for MAC Users): Relational Database Query
PC Users:
Complete the related MS Access query training tutorials located in the Assignment Resources below.
Using the relational database created during the first week, run a query to receive meaningful data output (e.g., running a query to filter patients with a specific diagnosis).
Submit a screenshot and your query results for grading.
Mac Users:
Watch the OpenOffice Base Creating Queries video located in the Assignment Resources below.
Using the relational database created during the first week, run a query to receive meaningful data output (e.g., running a query to filter patients with a specific diagnosis).
Submit a screenshot and your query results for grading.
Week 3 Big Data Use Paper
Research a health-related business that collects big data and explain the following in a two-page paper in APA format:
Give a brief overview of big data.
How do the topics learned in this class relate to big data in health care?
In the use case of the business you researched, what kind of data is collected and what are the advantages of collecting this type of data?
Include 2–3 scholarly resources in APA format. Examples of scholarly sources include professional journal articles and books obtained from library databases, national guidelines, and informatics organizations, published within the last five years.
Week 4 XML Overview Paper and Sample XML Document
Discuss the following in a two-page paper in APA format:
What is XML?
Why use XML?
Create a simple XML document for one of the following:
Patient demographics
Patient allergies
Patient vital signs
Patient serum hemoglobin result
Include 2–3 scholarly resources in APA format. Examples of scholarly sources include professional journal articles and books obtained from library databases, national guidelines, and informatics organizations, published within the last five years.
Week 5 Data Mining Software Exercise
This assignment gives you the opportunity to demonstrate your ability to use data mining software.
Download the program RapidMiner (available for Windows or MAC IOS 10.8+) from: https://rapidminer.com/ and register using your WCU student email. (After the 15-day free trial, you can register for a free education license if you’d like. You’ll receive an email from RapidMiner with instructions.)
When you open the program for the first time, tutorials will automatically come up on the left side of the platform’s screen. If you lose this window, click on the file folder icon a the top and choose the Learn option to get it back.
Complete each tutorial within the program and take a screenshot of the results as you finish each one. (list of tutorials provided below)
After you finish the tutorials, submit your screenshots for grading.
Basics
Operators and Processes
Modeling
Accessing Data
Filtering and Sorting
Merging and Grouping
Creating and Removing Columns
Changing Types and Roles
More Modeling
Data Handling
Handle Missing Values
Normalization and Outlier Detection
Pivoting and Renaming
Macros and Sampling
Looping, Branching, and Appending
Writing Data
Modeling, Scoring and Validation
Modeling
Scoring
Test Splits and Validation
Cross Validation
Visual Model Comparison
RapidMiner Server
RapidMiner Radoop
See Assignment Resources below for further RapidMiner support videos.
Week 6 EHR Data Mining Challenges Paper
Discuss the challenges faced by EHR data mining in a two-page paper in APA format. Make sure to include the following:
What is the potential of healthcare data mining?
How can it benefit or improve patient outcomes?
Include 2–3 scholarly resources in APA format. Examples of scholarly sources include professional journal articles and books obtained from library databases, national guidelines, and informatics organizations, published within the last five years.
Week 7 Demonstration of Use of Data Visualization Software
Download a free version of Tableau Desktop for Students (available for Windows PC and MAC OS) at:
https://www.tableau.com/academic/students#product-video Click for more options
View the links listed in the Assignment Resources listed below to learn about Tableau.
Choose a health-related data set from one of the links in the Assignment Resources below.
Follow all eight of the Tableau tutorial steps at the following link to create a meaningful data story from your inputted data set.
http://onlinehelp.tableau.com/current/guides/get-started-tutorial/en-us/get-started-tutorial-home.html
Share your final work in Tableau Public and submit the link along with the link to the data set you used (upload both with the file to Blackboard).
Week 8 Final Data Project
Write a four- to five-page paper that demonstrates comprehension of data mining and data visualization.
Complete the following using a data set from https://www.healthdata.gov/ Click for more options
Clean and prepare the data.
Use any data mining model to extract meaningful data.
Create two data visualizations in Tableau that show data in a meaningful way without information overload.
Explain your data set and describe your data mining model and data visualization technique (two-page maximum).
Submit your data files, links to your visualizations, and your written assignment.
Include the URL of the data set that you downloaded.
Examples of scholarly sources include professional journal articles and books obtained from library databases, national guidelines, and informatics organizations, published within the last five years.
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