Healthcare-centric data quality best practices:
1) Standardize data entry fields and processes for entering data,
2) Institute real-time quality checking, including the use of validation and feedback loops,
3) Design data element to avoid errors (for example, through the use of check digits and checking algorithms on numeric identifiers where human entry is involved and the use of well-designed user interfaces,
4) Develop and adhere to guidelines for documenting the care that was provided to the patient,
5) Review automated billing software, and
6) Build human capacity, including training, awareness-building, and organizational change.

Link to External Resource: Background Issues on Data Quality

Source: connectingforhealth.org

See more Resources like this one in this Data Quality Resource Guide Section: Data Quality Best Practices