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DML-103 — The Dimensions of Data Quality in Health & Social Care
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Course Content
Welcome & Introduction
About this resource, and why data quality is a care quality issue, not an IT issue.
Welcome & Introduction
Dimension 1: Accuracy
Is the information correct?
Dimension 1: Accuracy
Dimension 2: Completeness
Is everything that needs to be there, there?
Dimension 2: Completeness
Dimension 3: Timeliness & Currency
Is the information up to date and recorded promptly?
Dimension 3: Timeliness & Currency
Dimension 4: Consistency
Does data mean the same thing, everywhere, every time?
Dimension 4: Consistency
Dimension 5: Validity
Is the data in the right format and within the right range?
Dimension 5: Validity
Dimension 6: Uniqueness
Does each person appear once, and once only?
Dimension 6: Uniqueness
Dimension 7: Person-Centredness
Does the data reflect who this person actually is?
Dimension 7: Person-Centredness
Dimension 8: Auditability
Can we trace who recorded what, when, and why?
Dimension 8: Auditability
Dimension 9: Clarity & Professional Tone
Is the record clear, objective, and professionally written?
Dimension 9: Clarity & Professional Tone
Dimension 10: Relevance
Is this information actually needed for this person's care?
Dimension 10: Relevance
Close & Next Steps
Committing to using the ten dimensions daily, and signposting next steps.
Close & Next Steps
DML-103 Knowledge Check
