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4 months ago
1. State whether the following variables are nominal, ordinal, interval or ratio. (7 pts.)

Variable                                                                    Type (nominal, ordinal, interval or ratio)
Gender   
Race   
Patient Satisfaction Scores   
Temperature   
Weight   
Height   
Blood pressure   

3. Define and provide examples of the following terms. Use 3-5 sentences for each term. (30 points)

a. Health Informatics

b. Data Quality Management

c. Interoperability

d. Data Lake

e. Data

f. Information

g. Standardized

h. Unstandardized

i. Data Standard

j. Health Information Exchange (HIE)

k. Relational Database

l. Primary Key

m. Foreign Key

n. Structured query language (SQL)

o. Information Governance

4. Differentiate the difference between information governance and data governance. Provide examples of how you would implement both in a health care facility to support your answer. (15 points)
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4 months ago
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State whether the following variables are nominal, ordinal, interval or ratio.

Variable   Type (nominal, ordinal, interval or ratio)
Gender   NOMINAL
Race   NOMINAL
Patient Satisfaction Scores   ORDINAL
Temperature   INTERVAL
Weight   RATIO
Height   RATIO
Blood pressure   INTERVAL

Will tackle the other 2 tomorrow!
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4 months ago
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Here's a general understanding of the two. Keep in mind you will have to write these definitions as you see fit to healthcare.

4. Differentiate the difference between information governance and data governance. Provide examples of how you would implement both in a health care facility to support your answer. (15 points)

Information governance tends to be associated with the business- and compliance-driven approach to managing the use, retention and disposition of health records. They are the activities and technologies that organizations employ to maximize the value of their information while minimizing associated risks and costs. Information governance includes both structured and unstructured data. Its strategies include categorization, information lifecycle, definition of use, information access, etc.

On the other hand, data governance is usually an IT responsibility. Data governance accounts for all data, both structured and unstructured, as it correlates to data storage and transfer. Aspects involved in data governance include data security, data lineage, data service levels, master data management and data loss prevention.

To understand information governance vs. data governance, you must also understand the skills each entails. Information governance requires specialists with a background in records information management, privacy, technology, collaboration, disposition and discovery, whereas data governance specialists should be adept in data architecture, data modeling, data privacy, data integration and master data management.
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