harnessing data analytics to maximise nhs learning from patient … · 2020-03-12 · raj krishnan,...

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