(Analyst Workshop 19) Milne Weir & Katy Barclay
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Joinng up Data for Improvement & Integration
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(Analyst Workshop 19) Milne Weir & Katy Barclay
- 1. ‘Joining Up Data for Improvement and Integration’ 1 Katy Barclay, Information Services & Governance Manager Milne Weir, Regional Director
- 2. • Turn data into insights, into innovative & efficient service delivery • Refining our data infrastructure to develop the capabilities for the future • Grounding our data in understanding our populations as well as our response • Working with partners to combine data and plan better care • Using data to drive digital innovations and support investment in new technologies Collaboration & Engagement Prevention and Early Intervention Reducing Inequalities Fairness, Equity and Equality Intelligence, Evidence & Innovation Empowering People & Communities Best Care Best Place Right Time Every Time
- 3. Clinical Response Model Aim • Response based on clinical need – Quicker and more accurately identify our most acutely unwell patients and dispatch accordingly – Understand better the clinical needs of all other patients – Right response(s) first time for all patients • Save more lives • Better use of resources • Better patient and staff experience • Shift the balance of care 3
- 4. Clinical Response Hierarchy 4 Purple Response Category Identified by Patients with a Cardiac Arrest Rate >10% (actual cardiac arrest rate 52%) 10k attended emergencies (2% of total 999 demand) Red Response Category Identified by Patients with a Cardiac Arrest Rate >1% or defined need for resuscitation (actual cardiac arrest rate 1.5%) 71k attended emergencies (14% of total 999 demand) Amber Response Category Identified by acute pathway need I.E FAST+/STEMI/AAA 123k attended emergencies (23% of total 999 demand) Yellow Response Category Identified by exclusion of ILT and Amber categories 317k attended emergencies (60% of total 999 demand) Green Response Category Exclusion of above categories and defined potential for potential alternative care pathway 5k attended emergencies (1% of total 999 demand) Data for 01/04/18 to 31/03/19 – 526k attended emergencies
- 5. IJB Report – Demand 5
- 6. IJB Report – GP Demand 6
- 7. IJB Report – SAS Response 7
- 8. IJB Report - Conditions 8
- 9. IJB Report - Demographics 9
- 10. Towards 2030 – Emerging Themes 10 1. SAS role in improving public / population health 2. Our role in Primary Care 3. Our role as an emergency service and care provider 4. Our focus on alternative care pathways, wellbeing & prevention 5. Our role developing our workforce 6. Our use of data and intelligence 7. Our digital infrastructure
- 11. Table Top - Questions • How can we join up data for improvement and jointly look at data over time? • How do we jointly use data as narrative so we know change is an improvement and focus on measurement? • How do we jointly identify areas for focus, improvement and good practice? • How do we create the right conditions for delivery and improvement? 11
Editor's Notes
- Best Care – what matters to people as well as safe and effective. Improving health. Best Place – homes, communities, hospitals. Determined by condition and circumstance, not performance targets Right Time – Blue-light emergencies, urgent same-day care, reducing long waits Every Time – clinically safe, culture of learning, critical engagement and support
- Demand within IJB area Total Incidents then broken down by Emergency (ILT/Non ILT) and other Top 10 chief complaints – transfers, falls, chest pains Top 5 hospitals conveyed to
- GP and OOH GP Demand within IJB area Total Incidents then broken down by Emergency (ILT/Non ILT) and other with timescales
- Incidents within IJB area Broken down by colour – purple – most seriously ill.
- Specific conditions – breathing problems, mental health and falls (over 65). Also information about OHCA and ROSC
- Demographics – Deprivation and age/gender Also information about alcohol or drug usage noted by crews and number of times Naloxone administered.
- Joined up Data for Improvement Using QI to undertake tests of change Joined up Measures Creating the right conditions for delivery and improvement Data Collection Joint Analysis If its happening here it will have an impact on the wider system Hear and treat See and Treat Conveyance to Hospital Pathways of Care