Primary Task Response: Within the Discussion Board area, write 300–500 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
A hospital is considering building an oncology unit. Discuss what decisions might be supported with business intelligence (BI), and suggest data that might be maintained in the data warehouse (DW). Include the following in your discussion:
- List 5 of the major tables that would be included in the DW for oncology patients.
- Define index properties, and list the 3 different types.
- Explain why null values are required.
Expert Solution Preview
Introduction:
As a medical professor, it is important to understand the importance of leveraging technology to support decision-making in healthcare. Business intelligence (BI) and data warehousing (DW) are critical tools that hospitals can use to collect, analyze and share data that can support the decision to build a new oncology unit. In this essay, we will discuss the decisions that might be supported with BI and suggest data that might be maintained in the data warehouse for the new oncology unit. Furthermore, we will identify the major tables that would be included in the DW for oncology patients, define index properties and explain why null values are required.
1) List 5 of the major tables that would be included in the DW for oncology patients.
The major tables that would be included in the DW for oncology patients include:
a) Demographics Table – This table will include demographic data such as age, gender, race, ethnicity, and other relevant patient demographic information.
b) Diagnosis Table – This table will include information on the type of cancer, the stage of cancer, and other medical diagnoses that may impact the patient’s cancer treatment.
c) Treatment Table – This table will include information on the type of treatment the patient is receiving such as chemotherapy, radiation therapy and/or surgery.
d) Side Effects Table – This table will include information on the side effects that the patient is experiencing as a result of their cancer treatment.
e) Health Outcomes Table – This table will include information on the health outcomes of the patient such as survival rates, recurrence rates and overall quality of life.
2) Define index properties, and list the 3 different types.
Index properties are attributes of a database index that specify its behavior. The three types of index properties include:
a) Unique – This index ensures that each row in the index is unique.
b) Clustered – This index determines the physical order of data in a table.
c) Non-Clustered – This index does not determine the physical order of data in a table and can be created on a column or set of columns that are not the primary key.
3) Explain why null values are required.
Null values are required because they represent unknown or missing data. In a database, null values are used to indicate that a particular value is not present or unknown. This is important because it allows for more flexibility in data storage and analysis. Null values can also be used to indicate that certain data is not applicable to a particular record, such as the absence of a medical diagnosis or treatment. By allowing null values, data can be more easily compared and analyzed across different records and data points, providing a more complete picture of the patient’s overall health and history.
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Primary Task Response: Within the Discussion Board area, write 300–500 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future dis
Primary Task Response: Within the Discussion Board area, write 300–500 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
A hospital is considering building an oncology unit. Discuss what decisions might be supported with business intelligence (BI), and suggest data that might be maintained in the data warehouse (DW). Include the following in your discussion:
Expert Solution Preview
Introduction:
As a medical professor, it is important to understand the importance of leveraging technology to support decision-making in healthcare. Business intelligence (BI) and data warehousing (DW) are critical tools that hospitals can use to collect, analyze and share data that can support the decision to build a new oncology unit. In this essay, we will discuss the decisions that might be supported with BI and suggest data that might be maintained in the data warehouse for the new oncology unit. Furthermore, we will identify the major tables that would be included in the DW for oncology patients, define index properties and explain why null values are required.
1) List 5 of the major tables that would be included in the DW for oncology patients.
The major tables that would be included in the DW for oncology patients include:
a) Demographics Table – This table will include demographic data such as age, gender, race, ethnicity, and other relevant patient demographic information.
b) Diagnosis Table – This table will include information on the type of cancer, the stage of cancer, and other medical diagnoses that may impact the patient’s cancer treatment.
c) Treatment Table – This table will include information on the type of treatment the patient is receiving such as chemotherapy, radiation therapy and/or surgery.
d) Side Effects Table – This table will include information on the side effects that the patient is experiencing as a result of their cancer treatment.
e) Health Outcomes Table – This table will include information on the health outcomes of the patient such as survival rates, recurrence rates and overall quality of life.
2) Define index properties, and list the 3 different types.
Index properties are attributes of a database index that specify its behavior. The three types of index properties include:
a) Unique – This index ensures that each row in the index is unique.
b) Clustered – This index determines the physical order of data in a table.
c) Non-Clustered – This index does not determine the physical order of data in a table and can be created on a column or set of columns that are not the primary key.
3) Explain why null values are required.
Null values are required because they represent unknown or missing data. In a database, null values are used to indicate that a particular value is not present or unknown. This is important because it allows for more flexibility in data storage and analysis. Null values can also be used to indicate that certain data is not applicable to a particular record, such as the absence of a medical diagnosis or treatment. By allowing null values, data can be more easily compared and analyzed across different records and data points, providing a more complete picture of the patient’s overall health and history.
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