Health Information Systems
Order Description
When there are mistakes in data entering, it translates into problems in patient care, reimbursement, and research. The problem of poor data crosses departments and organizations, filtering into decisions that are made based on the data.

What are some examples (real or fictitious) of data entry issues that could compromise data quality?
What implications are there compromised data.
Discuss what can be done to mitigate mistakes associated with entering data?

Health Information Systems
Order Description
When there are mistakes in data entering, it translates into problems in patient care, reimbursement, and research. The problem of poor data crosses departments and organizations, filtering into decisions that are made based on the data.

What are some examples (real or fictitious) of data entry issues that could compromise data quality?
What implications are there compromised data.
Discuss what can be done to mitigate mistakes associated with entering data?

Health Information Systems
Order Description
When there are mistakes in data entering, it translates into problems in patient care, reimbursement, and research. The problem of poor data crosses departments and organizations, filtering into decisions that are made based on the data.

What are some examples (real or fictitious) of data entry issues that could compromise data quality?
What implications are there compromised data.
Discuss what can be done to mitigate mistakes associated with entering data?