Transforming CAMHS: data-driven innovations to cut waiting times and improve efficiency
This session will explore a data-driven Clinically Led workforcE and Activity Redesign (CLEAR) project at Humber Teaching NHS Foundation Trust that has transformed its CAMHS service - part of the CLEAR NEY Programme commissioned by NHS England.
Led by frontline clinicians from the trust, the project addressed long waiting times and high ‘did not attend’ (DNA) rates, which were impacting clinical time and efficiency. Applying the CLEAR methodology, staff gathered and analysed data from 6,448 referrals over five years and combined this with qualitative findings from clinical engagement to identify key challenges and develop a new model of care.
The redesigned service focuses on a more streamlined and personalised first-contact process. This includes more clearly defined autistic and neurodiverse pathways, better use of tech including text appointment reminders, and clearer referral criteria. The project is expected to save the trust more than £1 million by eliminating the £934,992 cost of DNAs (if 100 per cent successful), reducing misaligned referrals (£88,236) and using AI assisted tools to achieve 75 per ceny administrative efficiencies with a total of 2,516 hours saved a year.
Staff from the trust will lead the session, sharing challenges, lessons learned and the impact the project has had on their innovation skills development.