Upload
others
View
2
Download
0
Embed Size (px)
Citation preview
Harnessing data analytics to maximise NHS learning from patient
safety incident reports
Raj Krishnan, Assistant CD, Acute Child Health
Matt McCarthy, Patient Safety Facilitator
Introduction
• How did we come about this project?
• The need for project?
• What was done about it?
QiDiCh
• Quality improvement using data/data analyst in Child Health
– Workshops
– Repository of data
– Iterative QI projects derived from patient safety analyst
Incident reporting
“We collect too much and do too little”
Macrae C. The problem with incident reporting. BMJ Qual Saf. 2016 Feb;25(2):71-5
Quality improvement
Incident reporting
How can a mixed-methods approach to patient safety data analysis be effectively used in an NHS organisation to maximise
learning from incident reports?
Organisations involved
Cardiff and Vale University Health Board
- Acute Child Health Directorate
- Patient Safety and Quality team
Cardiff University- Patient Safety Research Group (PISA)
London School of Hygiene and Tropical Medicine
Objectives
• Train analysts in modern patient safety theory
• Develop and analytical strategy for processing patient safety incident reports
• Test the analytical strategy in the Acute Child Health directorate
• Use analytical outputs to support the identification of priority areas for patient safety improvement and quality improvement projects
• Summarise best practices and lessons learnt
Milestones
• Process evaluation plan (LSHTM)
• Four e-learning modules for analysts and clinicians
• Three Standard Operating Procedures for data request, data processing and data analysis
• Acute Child Health workshop to set quality improvement priorities informed by data analysis
• Summary of evaluation findings
• Integration of findings into future plans for analysis of incident reports and safety improvement
• Dissemination within the Health Board and development of a ‘how to’ guide for other organisations
Thank you for listening