HIS II Assignment

Which of the following is NOT a dimension/attribute of data quality according to the AHIMA model (1998)?

• Accessibility

• Currency

• Relevance

• Reliability

What is the process of verifying the quality of data, assessing the system that produces that data, and developing actions to improve both the process and the system?

• Quality Control

• Data Quality Assessment (DQA)

• Quality Assurance (QA)

• Quality Improvement (QI)

Which of the following is an example of a threat to data quality from poor recording and reporting?

• Inaccurate translations of materials

• Intentional mis-recording of patient data by physicians

• Lack of standardization in data collection instruments

• Imprecise definition of terms

What is the term for the conversion of entries on forms or registers into symbols?

• Editing

• Coding

• Data Entry

• Tabulation

Which of the following is NOT a strategy to ensure high quality data at low cost?

• Design of the data collection instruments

• Involving users in the design of the system

• Keeping the design of the information system complex

• Minimizing the number of levels in the information system

Data that are produced on time, adhering to standard schedules, is characterized by which dimension of data quality?

• Accuracy

• Completeness

• Timeliness

• Consistency

Which of the following statements is most accurate regarding data quality assessment (DQA)?

• DQA is a one-time evaluation of data.

• DQA focuses solely on identifying errors in data.

• DQA is a continuous and systematic process.

• DQA is only necessary for healthcare data.

What is the difference between accuracy and validity in data quality?

• Accuracy refers to the data being free from errors, while validity refers to its relevance for a specific purpose.

• Validity refers to the data being free from errors, while accuracy refers to its relevance for a specific purpose

• There is no difference between accuracy and validity in data quality.

• Accuracy is a subset of validity.

According to the notes, what is an essential principle for maintaining data quality throughout its lifecycle?

• Interoperability

• Confidentiality and security

• Cost-effectiveness

• User-friendliness

Double counting of data entries can be a threat to which dimension of data quality?

• Accuracy

• Completeness

• Consistency

• Timeliness