Health Information Management and Data Quality
HIM fundamentals
Health information management ensures the accuracy, completeness, and security of health records. Candidates must understand the medical record as a legal document, documentation standards, and the release of information (ROI) process. Know the difference between the designated record set and the full record, and the role of authorization in disclosures.
Data quality and integrity
Data quality depends on completeness, accuracy, consistency, and timeliness. Understand data validation, auditing, and quality measures (e.g., HEDIS, core measures). Familiarize yourself with data governance, interoperability, and standard terminologies (SNOMED CT, LOINC, ICD-10). Recognize the impact of coding audits and provider queries on data integrity.
Traps to watch
- Releasing PHI without proper authorization (except permitted disclosures).
- Confusing data completeness with data accuracy.
- Ignoring timeliness requirements for documentation and coding.
- Overlooking the role of provider queries in resolving ambiguous documentation.
- Assuming all data in the record is part of the designated record set.
Rule of thumb
Good data is complete, accurate, consistent, and timely. When documentation is unclear, a provider query is the correct tool-not an assumption.
Worked example
A record lacks a specific diagnosis but the coder suspects one. The correct action is to query the provider and document the response, preserving data integrity and supporting the code selected.