Chapter 03 Handbook Of Informatics for Nurses & Healthcare Professionals 5th Edition

Chapter 03 Handbook Of Informatics for Nurses & Healthcare Professionals 5th Edition

 

Complete Chapter Questions With Answers

 

Sample Questions Are Posted Below

 

Question 1

Type: MCSA

Which of the following is considered a threat to information quality?

1. An unauthorized user hacks into the system to review the clients’ records
2. Not verifying information as correct prior to entry
3. An earthquake interrupts the power supply and causes data loss
4. A wireless transmission is intercepted to review a new client’s records.

Correct Answer: 2

Rationale 1: Hackers are a threat to confidentiality. The correct response is a failure to enter data correctly which is a very serious threat to the quality of information.

Rationale 2: Failing to enter data correctly is a very serious threat to the quality of information and “garbage in” equals “garbage out”. Interruption of a power supply is a threat to information availability; and hackers and wireless interceptions are threats to confidentiality.

Rationale 3: Interruption of a power supply is a threat to information availability. The correct response is a failure to enter data correctly which is a very serious threat to the quality of information.

Rationale 4: Wireless interception is a threat to confidentiality. The correct response is a failure to enter data correctly which is a very serious threat to the quality of information.

Global Rationale:

 

Cognitive Level: Understanding

Client Need: Safe Effective Care Environment

Client Need Sub: Management of Care

Nursing/Integrated Concepts: Communication and Documentation

Learning Outcome:

 

Question 2

Type: MCSA

In which instance is using the technique of data mining most appropriate?

1. To document quality improvement when problems are identified and targeted on a medical-surgical unit
2. To find the appropriate treatment for a client with advanced lung cancer
3. To identify an appropriate diagnosis for a client with undetermined signs and symptoms
4. To assist in the determination of the correct dose of medication to give a client in congestive heart failure

Correct Answer: 1

Rationale 1: Data mining is a technique that is used to look for hidden patterns and relationships in large groups of data, not specific cases.

Rationale 2: Data mining is a technique that is used to look for hidden patterns and relationships in large groups of data, not specific cases.

Rationale 3: Data mining is a technique that is used to look for hidden patterns and relationships in large groups of data, not specific cases.

Rationale 4: Data mining is a technique that is used to look for hidden patterns and relationships in large groups of data, not specific cases.

Global Rationale:

 

Cognitive Level: Understanding

Client Need: Safe Effective Care Environment

Client Need Sub: Management of Care

Nursing/Integrated Concepts: Communication and Documentation

Learning Outcome:

 

Question 3

Type: MCSA

Which of the following is an example of data cleansing or scrubbing?

1. Abbreviations are compared using software to ensure standard language is used.
2. When the name of the admitting physician is blank, the primary physician is used by default.
3. Users may sort and compare data to determine relationships.
4. Data are used to identify standardized treatments for specific diseases.

Correct Answer: 1

Rationale 1: Data cleansing or scrubbing is a procedure that uses software to improve the quality of data to ensure that it is accurate enough for use in data mining and warehousing. It uses technology to reconcile data inconsistencies that arise from different systems as well as duplicate entries in one system. These inconsistencies may include typographical errors, misspellings, and various abbreviations as well as address changes.

Rationale 2: Data cleansing or scrubbing is a procedure that uses software to improve the quality of data to ensure that it is accurate enough for use in data mining and warehousing. It uses technology to reconcile data inconsistencies that arise from different systems as well as duplicate entries in one system. These inconsistencies may include typographical errors, misspellings, and various abbreviations as well as address changes.

Rationale 3: Data cleansing or scrubbing is a procedure that uses software to improve the quality of data to ensure that it is accurate enough for use in data mining and warehousing. It uses technology to reconcile data inconsistencies that arise from different systems as well as duplicate entries in one system. These inconsistencies may include typographical errors, misspellings, and various abbreviations as well as address changes.

Rationale 4: Data cleansing or scrubbing is a procedure that uses software to improve the quality of data to ensure that it is accurate enough for use in data mining and warehousing. It uses technology to reconcile data inconsistencies that arise from different systems as well as duplicate entries in one system. These inconsistencies may include typographical errors, misspellings, and various abbreviations as well as address changes.

Global Rationale:

 

Cognitive Level: Understanding

Client Need: Safe Effective Care Environment

Client Need Sub: Management of Care

Nursing/Integrated Concepts: Communication and Documentation

Learning Outcome:

 

Question 4

Type: MCSA

Which of the following is a key motivation to outsource data storage?

1. To allow company personnel to maintain their positions in the company
2. To contract with company employees to maintain their loyalty
3. To reduce costs required for data storage and maintenance
4. To maintain data storage on site with the least amount of effort

Correct Answer: 3

Rationale 1: Outsourcing is a method by which outside companies specializing in data management techniques may take on responsibilities such as data storage for lower costs, since the companies are highly efficient in one or two areas of data management.

Rationale 2: Outsourcing is a method by which outside companies specializing in data management techniques may take on responsibilities such as data storage for lower costs, since the companies are highly efficient in one or two areas of data management.

Rationale 3: Outsourcing is a method by which outside companies specializing in data management techniques may take on responsibilities such as data storage for lower costs, since the companies are highly efficient in one or two areas of data management.

Rationale 4: Outsourcing is a method by which outside companies specializing in data management techniques may take on responsibilities such as data storage for lower costs, since the companies are highly efficient in one or two areas of data management.

Global Rationale:

 

Cognitive Level: Understanding

Client Need: Safe Effective Care Environment

Client Need Sub: Management of Care

Nursing/Integrated Concepts: Communication and Documentation

Learning Outcome: