HQIP guide to ensuring data quality in clinical audits

Guidance | Published: 01 Jan 2011 | Author: HQIP

This guide to ensuring data quality in clinical audits describes how a clinician or group carrying out a clinical audit can ensure the quality of data collected for the audit. It includes:

  • What data quality means
  • What’s involved in achieving quality data for clinical audits
  • How to ensure that the purpose or objective of a clinical audit is so clear that it identifies
  • The nature of the data needed for the audit
  • How to ensure that the cases selected to be included in or excluded from a clinical audit are the right cases and that cases selected won’t produce biased results
  • How to test the validity of clinical audit standards
  • How to check if data collection processes are producing reliable data
  • How to select data collectors for a clinical audit and ensure they are doing the right job
  • How to quality control data collection and data entry
  • How to avoid pitfalls in data collection
  • How to make arrangements for sharing data for clinical audit purposes across healthcare
  • Organisations and ensure that information governance requirements related to clinical
  • Audit data are being met

Reviewed 2011

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HQIP guide to ensuring data quality in clinical audits