Project Overview
An NHS Integrated Care Board (ICB) managing healthcare for 1.4M residents, £2.8B annual health expenditure, an...
Technology Stack
Compliance & Standards
The Challenge
An NHS Integrated Care Board (ICB) managing healthcare for 1.4M residents, £2.8B annual health expenditure, and 42 GP practices needed a unified clinical analytics platform — replacing fragmented SSRS reports, manual Excel extracts, and SUS (Secondary Uses Service) data reconciliation. NHS DTAC all 5 domains, UK GDPR Article 9 (population health data is special category), NHS DSP Toolkit, ICB governance (NHS England Long Term Plan — population health management mandate), WCAG 2.1 AA, and Cyber Essentials Plus were mandatory. Budget: £95,000.
Our Approach
ICB population health data sources
- 1SUS (Secondary Uses Service — admitted patient care, outpatient, A&E — from NHS Digital),
- 2GPES (General Practice Extraction Service — primary care activity data),
- 3CSDS (Community Services Data Set),
- 4IAPT (Improving Access to Psychological Therapies — mental health),
- 5MHSDS (Mental Health Services Data Set).
Data architecture
- all 5 sources → AWS Glue (ETL — NHS-standard fields mapped to ICB analytics schema) → Redshift Serverless (analytics data warehouse) → QuickSight (dashboards — ICB commissioners).
- NHS DTAC Domain 4 (Interoperability): data lineage documented via dbt DAG — every metric traceable to NHS source data set and NHS Digital specification.
- Population Health Stratification —
Population health management
identify high-risk patients before they deteriorate — proactive intervention vs reactive treatment.
Risk stratification
- 1King's Fund Combined Predictive Model (CPM) adapted for NHS data,
- 2QAdmissions score (likelihood of unplanned hospital admission — NHS-validated),
- 3frailty index (electronic Frailty Index — eFI — from primary care data),
- 4multimorbidity count (number of long-term conditions per patient).
Pseudonymised population
- NHS number pseudonymised (HMAC-SHA256 consistent pseudonym) — population-level analytics without direct NHS number exposure.
- GP practice-level stratification: GP practice sees only their own patients' risk scores (not ICB-wide data) — Row Level Security in QuickSight.
Waiting List Analytics and RTT Management
NHS RTT (Referral to Treatment): maximum 18 weeks from referral to treatment (NHS Constitution standard).
RTT breach prediction
- 1current waiting list by specialty (imported weekly from NHS trusts — NHSE Waiting List tracker API),
- 2breach prediction (current wait + expected additional wait by specialty → predicted breach date),
- 3capacity modelling (available outpatient slots vs demand — gap analysis).
ICB action
commissioner identifies at-risk RTT patients → accelerated pathway.
Elective recovery analytics
COVID-19 backlog — ICB tracks progress against NHS England elective recovery plan milestones.
NHSE Waiting List Minimum Data Set
automated weekly extract for NHS England reporting.
GP practice dashboards
each of 42 GP practices sees their own practice-level data (comparative against ICB average — anonymised benchmarking).
Metrics
- 1QOF (Quality and Outcomes Framework — GP achievement against clinical indicators),
- 2appointment utilisation (DNA rate, appointment type mix, clinical staff utilisation),
- 3prescribing analytics (high-cost prescribing, antibiotic stewardship, biosimilar switch rate),
- 4referral analytics (referral rate by specialty, conversion to first appointment, Did Not Attend rate). GPCOG (General Practice COVID Oversight Group) reporting: automated monthly GPCOG report from analytics platform — reduces GP admin burden.
The Results
NHS DTAC approved all 5 domains.
Platform live at 16 weeks, £88,000 — under budget. 1.4M population analytics live.
RTT breach prediction: 94.2% accuracy (4-week lookahead).
QAdmissions risk stratification: 28,000 high-risk patients identified — 4,200 proactive interventions initiated.
GP dashboard adoption: 38 of 42 GP practices actively using within 30 days.
NHSE reporting: 100% automated.
UK GDPR Article 9 pseudonymisation: confirmed by ICO DPO review.
NHS DSP Toolkit: compliant.
Analyst productivity: 8 hours/week saved per commissioner analyst.
“1.4M population. RTT prediction 94.2%. 28,000 high-risk identified, 4,200 proactive interventions. GP adoption 38 of 42 practices. NHSE reporting automated. DTAC confirmed. Analyst productivity 8 hours/week saved each. The population health stratification — QAdmissions risk scores to identify who will be admitted before they are admitted — is the clinical analytics that changes healthcare from reactive to proactive. The platform paid for itself in the first quarter from avoided emergency admissions alone." — Director of Population Health, NHS ICB (name withheld)”
Project Details
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