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# Andy Charlwood — Complete Career, Skills & Portfolio Knowledge Base
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**Contact:** andy@charlwood.xyz | https://andy.charlwood.xyz/ | LinkedIn
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**Location:** Norfolk, England
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**Age:** 32 (as of 2025)
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**Registration:** GPhC Registered Pharmacist (August 2016 – Present)
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---
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## Personal Summary
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GPhC-registered pharmacist and self-taught data analyst/developer who combines deep clinical pharmacy expertise with advanced technical capabilities in Python, SQL, and Power BI. Currently Deputy Head of Population Health and Data Analytics at NHS Norfolk & Waveney ICB, managing analytical strategy for a £220M prescribing budget serving 1.2 million people. Has delivered £14.6M+ in documented efficiency savings through data-driven interventions.
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Core value proposition: "Pharmacist who builds health tech solutions that transform care delivery at scale" — bridging two traditionally separate worlds by bringing clinical understanding of medicines and practice together with advanced analytics and automation.
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Self-describes with characteristic honesty as a "bootleg data scientist" or "Temu data scientist" — no formal data qualifications, entirely self-taught during night shifts at Tesco pharmacy between 2017–2022, progressing from Excel macros to sophisticated Python applications, machine learning, and population-scale health analytics. Comfortable with "YouTube University graduate" as a title.
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---
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## Career Timeline
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### McDonald's Corporation — Floor Manager, Crew Trainer & Crew Member
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**September 2009 – June 2014 | Ashford, Kent**
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Progressed from Crew Member to Floor Manager while completing A-levels and undergraduate pharmacy degree. Developed leadership, customer service, and operational management skills in high-pressure environment. Trained and evaluated staff performance, oversaw cash and inventory management, health and safety compliance, and operational efficiency during peak trading periods.
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---
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### University of East Anglia — MPharm (2:1 Honours)
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**2011 – 2015**
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- Failed pharmacy exams in years 1, 2, and 3 before completing the degree — a fact Andy is open about and uses as a powerful narrative about resilience
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- Independent research project on drug delivery and cocrystals: 75.1% (Distinction level)
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- 4th year OSCE (clinical skills assessment): 80%
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- President, UEA Pharmacy Society (May 2014 – April 2015)
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- Secretary & Vice-President, UEA Ultimate Frisbee (May 2014 – April 2015)
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- Publicity Officer, UEA Alzheimer's Society (May 2013 – April 2014)
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**A-Levels (Highworth Grammar School, 2009–2011):** Mathematics (A*), Chemistry (B), Politics (C)
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---
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### Paydens Pharmacy — Pre-Registration Pharmacist
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**July 2015 – July 2016 | Tunbridge Wells & Ashford, Kent**
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Completed professional training in challenging, service-rich environment, taking on advanced responsibilities beyond typical pre-registration scope.
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- Led initiation of Patient Group Directions (PGDs) including NRT, emergency hormonal contraception, and chlamydia screening/treatment services
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- Conducted comprehensive NMS audit, increasing completion rates from under 10% to 50–60% of target through process improvement
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- Provided clinical screening services for palliative care hospice — complex patient care and end-of-life medication management experience
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- Developed understanding of wholesale procedures, regulatory compliance, and pharmacy business operations
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---
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### Tesco PLC — Duty Pharmacy Manager → Pharmacy Manager
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**August 2016 – May 2022 | Great Yarmouth, Norfolk**
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**Duty Pharmacy Manager (August 2016 – October 2017):** Progressed from newly qualified pharmacist to Acting Pharmacy Manager within two months. Co-led regional initiatives for NMS and asthma referrals, developing resources supporting service provision across the region.
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**Pharmacy Manager (November 2017 – May 2022):** Managed all pharmacy operations with full autonomy. Served as Local Pharmaceutical Committee (LPC) representative supporting Norfolk's community pharmacy sector.
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Key achievements:
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- **National asthma screening solution:** Designed quality payments solution for asthma patient screening implemented nationally across Tesco's entire pharmacy estate — saving 30–60 minutes daily per pharmacy and generating approximately £1M potential revenue
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- **National training:** Created induction training plan and eLearning modules for all new Tesco pharmacy staff nationally, with enhanced focus on culture and leadership development for non-pharmacist team members
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- **Regional NMS leadership:** Led KPI delivery initiatives including New Medication Service (NMS), achieving target performance and developing implementation resources adopted across 39 pharmacies in the region
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- **System integration:** Established collaborative working relationships with local PCN and ICS partners, creating agreed protocols for managing medicine supply issues affecting patient care
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- **Staff development:** Supervised two staff members through NVQ3 qualifications to pharmacy technician registration
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- **Operational management:** Maintained 100-hour contractual requirements through effective locum management. Managed full employee lifecycle including rotas, recruitment, performance management, disciplinaries, and grievances
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**This is where coding was learned.** During night shifts and quiet periods at Tesco (2017–2022), Andy taught himself to code:
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1. Started with Excel macros to automate repetitive pharmacy tasks
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2. Progressed to VBA for more complex automation
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3. Moved to Python through online tutorials and real-world pharmacy problems
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4. Built projects including financial modelling (Black-Scholes options pricing, gamma mapping from options open interest)
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5. Learned SQL once he gained access to NHS databases
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6. Daily practice of 30–60 minutes most evenings for approximately 5 years
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7. Resources: Stack Overflow, Python documentation, YouTube — entirely self-directed
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**NHS Leadership Academy — Mary Seacole Programme (78%) | April – October 2018:** Formal NHS leadership qualification providing theoretical grounding in healthcare leadership approaches, change management, and system-level thinking.
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---
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### NHS Norfolk & Waveney ICB — Medicines Optimisation Pharmacist (High Cost Drugs)
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**May 2022 – July 2024 | Norwich, Norfolk**
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Hired for clinical skills, not data — but quickly demonstrated what data analysis could do for the team. This role was the bridge between community pharmacy and data leadership.
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Key achievements:
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- **Blueteq automation:** Developed software automating Blueteq prior approval form creation, achieving 70% reduction in required forms whilst saving 30 hours monthly (200 hours immediate savings, 7–8 hours ongoing weekly efficiency gains)
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- **Blueteq data integration:** Integrated Blueteq data with secondary care databases, enabling accurate high-cost drug spend tracking and pathway compliance monitoring for the first time across the system
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- **Clinical pathway development:** Created evidence-based clinical pathways for multiple therapeutic areas:
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- Rheumatology
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- Ophthalmology (wet AMD, DMO, RVO)
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- Gastroenterology (IBD)
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- Migraine management (co-written with neurology consultant, implemented system-wide across all GPs and trusts)
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- **Sankey chart patient flow analysis:** Developed Python-based Sankey chart analysis tool visualising patient journeys through high-cost drug pathways. Enabled trusts to audit compliance, identify improvement opportunities, and understand flow through complex treatment pathways visually
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- **ADHD medication shortage:** Provided strategic guidance during critical period, including primary care prescribing recommendations during ADHD medication shortage in partnership with Norfolk & Suffolk Foundation Trust (NSFT)
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**Technical environment:** Python, Blueteq platform, NHS data systems, secondary care activity databases, pathway development and visualisation tools
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---
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### NHS Norfolk & Waveney ICB — Deputy Head of Population Health & Data Analytics
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**July 2024 – Present | Norwich, Norfolk**
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**Interim Head of Population Health & Data Analytics (May 2025 – September 2025):** Served as acting head with direct accountability to Chief Pharmacist and presentation responsibilities to Chief Medical Director, following previous head's departure. Delivered exceptional results during organisational transition.
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Leading data analytics strategy for medicines optimisation across Norfolk & Waveney's population of over 1.2 million people.
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---
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## Key Projects & Achievements (Current Role)
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### Cost Optimisation Algorithm (Biggest Achievement)
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- **Problem:** Finding cost-effective medicine switches took months of manual work
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- **Solution:** Built Python algorithm that ingests 6 months of prescribing data, identifies products with same VMP (Virtual Medicinal Product), finds cheapest alternatives, extrapolates annual savings, and prioritises items for system-wide switches
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- **Technical approach:** Uses dm+d (Dictionary of Medicines and Devices) schema to group therapeutically equivalent products by ingredient, route, and form, then calculates cost-per-unit differentials
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- **Results:**
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- Process reduced from months to 3 days for initial list generation
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- Identified £2.8M annual savings potential across 14,000 patients (~£200 average per patient)
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- Achieved 50% reduction in targeted prescribing within two months of deployment
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- Dashboard focuses on low-risk, cost-effective switches (essentially identical generic medicines under different brands) — high impact, low effort
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### QIPP Efficiency Target Delivery
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- £14.6M+ efficiency opportunities identified by October 2025, exceeding QIPP target
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- Budget of £220M prescribing managed — currently under budget
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- Additional savings anticipated from dapagliflozin patent expiration
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- Historic invoice backlog fully cleared — reduced from over 500 invoices dating from 2019
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### Opioid Monitoring Dashboard
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- System-wide dashboard converting all opioid prescriptions to oral morphine equivalents (OME)
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- Deployed across Norfolk & Waveney for patient safety
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- Identifies high-risk patients and potential medication diversion
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- Patient-level analysis showing prescribers, dispensing pharmacies, and patterns
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- Connected to published evaluation research: system-wide opioid deprescribing intervention demonstrated 18.3% decrease in high-dose opioids (vs 6.9% national average) and 9.2% decrease in total opioid prescribing (vs 4% national average)
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- Working with Professor Debi Bhattacharya and data scientist Adam on difference-in-differences evaluation methodology for academic publication
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### Prescribing Incentive Scheme (Novel Design)
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- Transformed approach from single-target thresholds to flexible points-based system
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- Practices can target multiple indicators simultaneously
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- Novel mechanism allowing "overflow" points for priority switches
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- Patient-level tracking: one patient de-prescribed = one point
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- Indicators include: PPIs in children, pericyazine deprescribing, antipsychotics in dementia, anticholinergic burden reduction, iron supplementation, opioid deprescribing
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- Automated incentive scheme analysis: reduced months of manual work to 3 days
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- Created patient-level searches to centrally track GP data for incentive measures
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### Tirzepatide (Mounjaro) Implementation
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- Comprehensive analytical support for tirzepatide implementation following NICE TA1026
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- Monte Carlo modelling for financial projections with Dirichlet distributions for dose uncertainty
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- Predictive analytics for demand forecasting
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- Detailed cohort analysis
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- GP survey data analysis (~70 responses) informing capacity planning
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- Local Enhanced Service (LES) model development for primary care delivery
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- Risk register management and executive-level briefings
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- Cross-ICB collaboration with SNEE ICB to validate methodologies
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### DOAC Financial Modelling & Pharma Negotiation
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- Created interactive DOAC switching scenario modeller for executive stakeholders
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- Modelled complex rebate scheme with Daiichi Sankyo for edoxaban
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- Led pharmaceutical company negotiations, using market share leverage to secure rebate extension
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- Successfully negotiated rebate extension for merged ICB system (Norfolk & Suffolk)
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- Built financial dashboard showing switching scenarios, rebate thresholds, and break-even analysis
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### Polypharmacy Prescribing Dashboard
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- Indicators: average active ingredients, distinct medicines, oral morphine equivalent (90 days), anticholinergic burden score, Johns Hopkins emergency admission risk (12m), inpatient admission risk (6m), mortality risk score
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- Person Need Cluster and Healthcare Resource groupings
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- Population-level and practice-level views
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### Data Infrastructure Transformation
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- Led team transition from practice-level EPACT data to patient-level SQL-based analytics
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- Created self-serve data model empowering medicines optimisation colleagues
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- Developed comprehensive medicines data infrastructure integrating all dm+d products with:
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- Standardised strength calculations
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- Morphine equivalent conversions
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- Anticholinergic Burden scoring
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- Single source of truth for all medicines analytics across the ICS
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- Direct access to ICB databases (Snowflake) — unusual for a pharmacy role
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- Integration of multiple data sources: ePACT2, OpenPrescribing, Eclipse, Fingertips, ICB data warehouse, Blueteq, secondary care activity data
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### AI/LLM Work
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- Fine-tuned an 11B parameter LLM to decode free-text prescription directions into daily quantities
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- Converts directions like "take two tablets three times a day" into structured data
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- Enables identification of overprescribing patterns and potential controlled drug misuse
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- Auto-updating analysis identifying patients with high oral morphine equivalent across multiple prescribers/pharmacies
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- Explored Claude agents for clinical pharmacy review at scale
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- Researched pharmacogenomics applications — using medication persistence patterns as proxies for pharmacogenomic variants (CYP2D6, CYP2C19 etc.)
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- Investigated prescribing cascades in PGx-actionable medications
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### Community Pharmacy Innovation
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- Researched PGD (Patient Group Directive) framework for community pharmacy-led DOAC switching
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- Designed payment model: £20 per pharmacist consultation, £5 GP admin fee
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- Legal analysis concluded pharmacist independent prescriber model is legally safer than PGD route
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- Exploring community pharmacy services for compliance aids, Norfolk Medicine Support Service
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### ICB Merger Preparations
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- Preparing for Norfolk & Waveney merger with Suffolk (SNEE ICB) from April 2026
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- Leading formulary alignment work between systems
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- Coordinating Blueteq alignment across ICB borders
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- Comparing incentive schemes and metrics between Norfolk and Suffolk
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- High-cost drug pathway harmonisation
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- Using AI tools (Copilot) to compare policy differences between systems
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### Other Notable Work
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- Antimicrobial stewardship work and audits at system level
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- Core20PLUS5 targeted interventions (health inequalities)
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- Patient adherence indicators development
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- Clinical pathway indicators implementation
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- TAG (Technology Appraisal Guidance) document generation automation using VBA
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- Supporting NICE Technology Appraisal implementation across the system
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- Horizon scanning for new medicines and upcoming patent expiries
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---
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## Technical Skills
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### Programming & Data
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- **Python** (primary language, ~6–7 years): pandas, numpy, matplotlib, data analysis, algorithm development, automation, machine learning, API integration, financial modelling
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- **SQL** (daily use, possibly more than Python now): Snowflake, NHS databases, complex joins, CTEs, window functions
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- **Power BI**: Dashboard development, DAX measures, interactive reporting
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- **Excel/VBA** (advanced): Pivot tables, macros, automation, interactive workbooks
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- **JavaScript/TypeScript** (hobby level): Web development, personal website
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- **DuckDB**: Local data warehousing experiments
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### Machine Learning & AI
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- Fine-tuned LLMs (11B parameter model for prescription direction parsing)
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- Monte Carlo simulation modelling
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- Predictive analytics and demand forecasting
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- Black-Scholes options pricing models
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- Gamma mapping from options open interest
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- Experience with cloud GPU (A100) for model deployment
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- 3D medical imaging AI model deployment (experimental)
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### Healthcare Data Systems
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- dm+d (Dictionary of Medicines and Devices) — deep schema knowledge (VTM, VMP, VMPP, AMP, AMPP hierarchies)
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- Blueteq (prior approval system)
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- ePACT2 (NHS BSA prescribing data)
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- OpenPrescribing
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- Eclipse
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- Fingertips (population health indicators)
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- NHS BSA prescribing datasets
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- Secondary care activity data
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- Johns Hopkins ACG system (risk stratification)
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- Patient-level prescribing and dispensing data
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### Tools & Platforms
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- Jupyter Notebooks / DataSpell
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- Git
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- Home Assistant (extensive home automation)
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- Unraid server administration
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- ESPHome / ESP32 firmware
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- 3D printing (Bambu Lab printers, PETG, ASA materials)
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- Claude Code (command line agentic coding)
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### Certifications
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- GPhC Registered Pharmacist (August 2016 – Present)
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- Snowflake: Hands-On Essentials — Data Warehousing Workshop
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- NHS Leadership Academy: Mary Seacole Programme (78%, 2018)
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- No formal data science qualifications — entirely self-taught
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---
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## Daily Work Breakdown
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Typical week splits roughly:
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- **~40% meetings and strategy:** Stakeholder engagement, national/regional calls, working with colleagues on projects, supporting decisions with data, understanding the current climate and opportunities for collaboration across medicines optimisation teams
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- **~40% coding and analysis:** Writing Python scripts, SQL queries, building Power BI dashboards, curating insights for stakeholders in a way they will listen to
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- **~20% problem-solving:** Figuring out how to solve problems, navigating challenges, political landscape
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Key insight: "curating insights in a way where stakeholders will listen" — the communication/political piece is as important as the technical work.
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---
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## Speaking & Public Engagement
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### UEA "Careers in Data" Panel (November 2025)
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- Guest panelist at University of East Anglia
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- Spoke about journey from self-taught coding to NHS data leadership
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- Audience: current UEA students interested in data careers
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- Unique positioning: only panelist combining clinical healthcare with self-taught data skills
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- Key messages delivered: you don't need a CS degree, build real things that solve real problems, domain expertise + coding > pure technical skills
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### UEA "Inspirational Roles in Pharmacy" Presentation (September 2025)
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- Invited back to alma mater for 10–15 minute presentation on non-traditional pharmacy career
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- Presented to first-year pharmacy students
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- Focused on demonstrating unconventional career paths within pharmacy
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---
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## Career Goals & Transition Strategy
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### Current Direction
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Actively exploring transition from NHS to private sector, targeting pharmaceutical, health-tech, and consulting companies. Recognises that private sector organisations are more likely to use external recruiters than NHS roles.
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### Target Roles
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- Senior Manager / Associate Director level (considers Director/Head titles premature at 32 without private sector experience)
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- Medical Affairs
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- Market Access
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- Health Economics and Outcomes Research (HEOR)
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- Healthcare IT Consulting / Principal Consultant
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- Real-World Evidence analysis
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- Digital Health Product Management
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- Population Health Strategy
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### Positioning
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- "Pharmacist who builds health tech solutions" — NOT "pharmacist trying to transition into tech"
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- Core differentiator: clinical domain expertise + technical capability + strategic leadership at scale
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- NHS language translation needed: "Deputy Head of Population Health and Data Analytics" maps to "Senior Manager, HEOR" or "Principal Consultant, Population Health Strategy" in private sector terms
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- UK professional communication values evidence-based understatement over American-style self-promotion
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### Contacts & Network
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- Connection at Prescribing Services (established contact)
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- Guest panelist alongside data professionals from Aviva, UEA bioinformatics, and social impact data roles
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- LPC representative experience (community pharmacy sector network)
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- Cross-ICB relationships (Suffolk/SNEE colleagues)
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||||
---
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## Education Summary
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| Qualification | Institution | Date | Grade/Notes |
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|---|---|---|---|
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| MPharm (Hons) | University of East Anglia | 2011–2015 | 2:1. Research project: 75.1% (Distinction). OSCE: 80%. Failed exams years 1–3 |
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| A-Levels | Highworth Grammar School | 2009–2011 | Maths (A*), Chemistry (B), Politics (C) |
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| Mary Seacole Programme | NHS Leadership Academy | Apr–Oct 2018 | 78% |
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| Snowflake Badge | Snowflake | — | Hands-On Essentials: Data Warehousing |
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---
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||||
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||||
## Personal Interests & Technical Hobbies
|
||||
|
||||
- **Home automation:** Extensive Home Assistant setup, multiple Raspberry Pis, ESP32 microcontrollers, ESPHome firmware
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- **Unraid server:** Running home server infrastructure
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- **3D printing:** Bambu Lab printers, PETG and ASA materials, designing enclosures for electronics projects
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- **Electronics:** ESP32 projects including environmental monitoring (BME280/BME680), presence detection (LD2410 mmWave), e-ink displays. Planned greenhouse automation project (soil moisture sensors, automated watering)
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- **LED neon projects:** WS2811 neon rope LEDs (108 LEDs/meter, 2x 5m sets), 4-way LED controller, 24V 15A power supply
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- **Financial markets:** Built Black-Scholes options pricing and gamma mapping tools — first major Python project
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||||
- **Photography:** Listed as personal interest
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||||
- **Father:** Married with young children, values work-life balance
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||||
---
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## Key Quantified Metrics (Portfolio Highlights)
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||||
|
||||
| Metric | Value |
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||||
|---|---|
|
||||
| Efficiency savings identified | £14.6M+ (by October 2025) |
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| Prescribing budget managed | £220M annual |
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||||
| Population served | 1.2 million |
|
||||
| Cost optimisation algorithm savings | £2.8M potential across 14,000 patients |
|
||||
| Prescribing reduction (targeted areas) | 50% within 2 months |
|
||||
| Blueteq form reduction | 70% |
|
||||
| Time saved (Blueteq automation) | 200 hours immediately + 30 hours/month ongoing |
|
||||
| Time saved (incentive analysis) | Months → 3 days per cycle |
|
||||
| National pharmacy solution revenue | ~£1M potential across Tesco estate |
|
||||
| NMS completion rate improvement | Under 10% → 50–60% |
|
||||
| Opioid prescribing reduction (NW vs national) | 18.3% vs 6.9% (high-dose) |
|
||||
| Invoice backlog cleared | 500+ invoices from 2019 → current |
|
||||
|
||||
---
|
||||
|
||||
## Philosophy & Approach
|
||||
|
||||
### On Data-Driven Healthcare
|
||||
"What is the question you want answered?" — Andy's framing for colleagues. Not "what's going on with this drug?" but specific, targeted questions that allow data to provide actionable insight rather than vague trends.
|
||||
|
||||
### On the Clinical-Technical Bridge
|
||||
"The skills gap in healthcare isn't just technical people or just clinical people — it's people who can speak both languages. That gap is your opportunity."
|
||||
|
||||
### On Population vs Individual Impact
|
||||
"As a community pharmacist, we would dispense 6,000 items a month to probably 3,000 patients. I had lovely relationships with patients — I've cried with patients when their significant others died. But the population of our system is 1.1–1.2 million people. Being able to directly target 50,000 people — if you can incentivise GPs to do a single piece of work cost-effectively that prevents even some of them from having a fall and going to A&E with a broken hip — you can't see that direct impact, but I know it's making a difference."
|
||||
|
||||
### On Self-Teaching
|
||||
"Don't wait for the perfect course. Find something that annoys you, break it down into steps, Google each step. Your first code will be bad. That's fine — mine was awful."
|
||||
|
||||
### On Communication
|
||||
"I spend more time in PowerPoint than Python — that's not taught but it's critical." Analysis is worthless if no one understands it.
|
||||
|
||||
---
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||||
|
||||
## Website Structure Recommendations (From Previous Discussions)
|
||||
|
||||
### Current Site
|
||||
- andy.charlwood.xyz — single-page design, personal voice, clean domain
|
||||
- Includes LinkedIn links, downloadable CV
|
||||
- Currently structured more as narrative CV than portfolio
|
||||
|
||||
### Recommended Restructure
|
||||
1. **Hero section** (20 seconds to hook) — name, role, value proposition
|
||||
2. **Featured projects** (the differentiator — should be immediately visible)
|
||||
3. **Technical skills** (prove capability)
|
||||
4. **Abbreviated career highlights**
|
||||
5. **Contact/links**
|
||||
|
||||
### Priority Projects for Case Studies
|
||||
1. Cost optimisation algorithm (£2.8M savings, 50% reduction in 2 months)
|
||||
2. Opioid monitoring dashboard (patient safety, system-wide)
|
||||
3. Tirzepatide Monte Carlo modelling (financial risk, executive decision-making)
|
||||
4. DOAC switching scenario modeller (interactive tool for executives)
|
||||
5. Prescribing incentive scheme (novel design, patient-level tracking)
|
||||
|
||||
---
|
||||
|
||||
## Organisational Context
|
||||
|
||||
### Norfolk & Waveney ICB Structure
|
||||
- Part of NHS Norfolk & Waveney Integrated Care Board
|
||||
- Medicines optimisation team sits within broader ICS structure
|
||||
- Population health pillar looks 2–5 years ahead to understand risks and posture the system
|
||||
- BI team exists separately but historically poor collaboration with medicines optimisation
|
||||
- Andy has unusual direct access to ICB databases — typically pharmacy roles don't have this
|
||||
|
||||
### ICB Merger (April 2026)
|
||||
- Norfolk & Waveney merging with Suffolk (from SNEE ICB)
|
||||
- New system will include: NHS Ipswich and East Suffolk (06L), NHS West Suffolk (07K), NHS Norfolk and Waveney (26A)
|
||||
- North East Essex (06T) joining Essex ICB
|
||||
- Significant alignment work ongoing: formularies, incentive schemes, Blueteq, pathways, policies
|
||||
|
||||
### Organisational Challenges
|
||||
- Model ICB Blueprint indicates medicines optimisation marked for "review for transfer" to providers
|
||||
- Data function deprioritised during ICB merger preparations
|
||||
- Team morale affected by organisational restructuring
|
||||
- Previous head departed end of 2024, creating leadership gap Andy filled as interim
|
||||
|
||||
---
|
||||
|
||||
*This document compiled from conversations spanning March 2024 – February 2026. Intended as a comprehensive knowledge base for portfolio website development.*
|
||||
Reference in New Issue
Block a user