Part of Data Quality Assurance Framework for Providers – Part 2
Systems
Systems training
Objective
To ensure that up to date training is available to all users of clinical and administrative systems to provide explicit instruction on how systems should be used and reiterate responsibility for capturing complete and accurate data.
Benefit
Having a detailed and comprehensive systems training programme is critical to defining data quality responsibilities and expectations, establishing best practice and gaining user acceptance of the system. Training can be used to provide clear understanding of how the system has been configured to deliver best practice, what good data quality looks like and how this directly supports delivery of high quality patient care. Furthermore, high quality systems training promotes user confidence, which reduces the risk of data errors.
Best Practice
Systems training should reflect the different clinical and administrative roles required to interact with the system at various points along the patient pathway. Whilst there will be generic elements within training, the structure and topics covered should be targeted for each staff cohort clearly demonstrating how the system has been configured for the tasks they will mostly undertake. Training content should clearly articulate and emphasise system use best practice and demonstrate how system configuration promotes key clinical or administrative activities. Additionally, training should detail the controls and validations in place to assure data quality. It should outline each staff groups’ responsibilities around data capture, accuracy and maintaining up to date records and be delivered in a range of formats to suit different learning styles should also be considered.
Case study
KLAS, an American-based organisation, has undertaken extensive research as part of their Arch Collaboration with US and UK healthcare organisations to establish a link between good quality care and acceptance of electronic healthcare systems by clinicians. The research has established that the quality and length of education and training for clinicians and professionals in their digital environment is directly linked to the quality of care and system satisfaction. The Arch collaborative has shown that to obtain quality care and system satisfaction a minimum of 4-6 hours of well-designed initial education must be undertaken. This must include education on how to use personalisation functions in the product to increase efficiency and safety. A direct link between the system satisfaction and doctor retention has been found across the global evidence base.
Last edited: 6 March 2025 2:05 pm