This two day intensive masterclass will provide Root Cause Analysis Training in line with the July 2019 Patient Safety Strategy.
The course will offer a practical guide to RCA with a focus on systems-based patient safety investigation as proposed by the forthcoming National Patient Safety Incident Response Framework which emphasises the requirement for investigations to be led by those with safety investigation training and expertise, and with dedicated time and resource to complete the work. This course will include an opportunity for learners to gain a Level 3 qualification in RCA skills.
This two-day course is designed to provide delegates with the key skills and knowledge that they will require to conduct RCA effectively. The course content walks learners through the seven-key stages to conducting a high-quality RCA investigation. We pay particular attention to planning and managing investigations, interviewing staff, mapping information, using appropriate analysis tools to establish contributory factors and creating fit-for-purpose action plans and final reports. We advocate RCA as a team-based approach and agree with NHS Improvement’s 2018 statement ‘investigations must be led by trained investigators with the support of an appropriately resourced investigation team’.
“We think organisations should develop a patient safety incident review and investigation strategy to allow them to use a range of proportionate and effective learning responses to incidents. The proposal is to explore basing the selection of incidents for investigation on the opportunity they give for learning; and ensuring that providers allocate sufficient local resources to implement improvements that address investigation findings.”
The course is facilitated by Tracy Ruthven and Stephen Ashmore (Directors of the Clinical Audit Support Centre) who have significant experience of undertaking patient safety reviews in healthcare. In 2016 they were commissioned by the Healthcare Quality Improvement Partnership to write a national guide for Root Cause Analysis.