10 Characteristics of Data Quality
Accuracy
The Data is Correct. For example, the patient's emergency contact information recorded in a paper record or a database should be the same as what the patient said it was.
Granularity
The Data is captures at the correct level of detail. Components of the H&P as defined by the chosen standard are documented.
Accessibility
The Data is easily obtained For example, Every health record system should allow record access 24 hours a day regardless of the format in which the record is stored.
Definition
The data and information in the health record are clearly defined Guidelines defining H&P content are available to authors and noted in the application user guide.
Precision
The data has expected values. Example: 1965 instead of 65
Timeliness
The data is recorded near or at the time of the visit. Documented at the time of encounter by the authorized provider and available for patient care.
Consistency
The data is reliable For example, required content is the same and available across the encounter and between applications.(The allergy stated in the H&P should be the same throughout the patient stay)
Currency
The data is up to date Information is updated in real-time or within a certain timeframe.
Relevancy
The data is useful. Data obtained by the provider support the plan of care(Positive/negative findings)
Comprehensiveness
The required data is included. Includes all components required by regulatory/accrediting agencies,medical staff rules, and bylaws.
