Data Quality Probes. A synergistic method for quality monitoring of electronic medical record data accuracy and healthcare provision

Increasing reliance is being placed on electronic medical records to support clinical care and achieve improved quality standards. In order for clinical information systems (CIS) to deliver, the data within needs to be complete, consistent and accurate. This data of course only forms part of the process in delivering quality health care during the clinician-patient encounter. This paper outlines a method of assessing the quality of the processes involved in healthcare provision and data quality within a CIS. It proposes a principle of Data Quality Probes (DQP) that can be used to assess the performance of the whole encounter system. The main feature of this is the generation of a query which clinical knowledge predicts should not retrieve any cases in a system performing flawlessly. This approach is applied practically within the paradigm of a UK family practice testing the DQP that only patients who have had a hysterectomy should be prescribed unopposed oestrogen hormone replacement therapy.