Health Record Content and Data Quality
What the candidate must know
Identify the required components of a complete health record across settings: identification, chief complaint, history and physical, progress notes, orders, results, operative reports, discharge summary, and authentication. Understand data quality dimensions - accuracy, completeness, timeliness, consistency, accessibility, and definition - and the role of data governance. Know the difference between the legal health record and the designated record set, and how data sources (primary vs. secondary) and data sets (e.g., UHDDS) support coding and reporting.
Traps in questions
- Confusing the legal health record (what the provider defines as official) with the designated record set (what patients may access under privacy rules).
- Missing authentication requirements - unsigned or late entries affect data integrity.
- Treating a secondary data source (registries, indexes) as the legal record.
- Overlooking timeliness as a quality dimension when an entry is complete but late.
Rule of thumb
Before coding, confirm the record is complete, authenticated, and internally consistent; a data-quality gap is a coding risk, not a coding shortcut.
Worked example: A discharge summary lists a diagnosis not supported anywhere in the progress notes. Because the record is inconsistent, query the provider rather than coding the unsupported diagnosis - accuracy and completeness both fail otherwise.