feat: add canonical profile content schema and access helpers
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import type { ProfileContent } from '@/types/profile-content'
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export const profileContent = {
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profile: {
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patientSummaryNarrative: 'Healthcare leader combining clinical pharmacy expertise with proficiency in Python, SQL, and data analytics, self-taught over the past decade through a drive to find root causes in data and build the most efficient solutions to complex problems. Currently leading population health analytics for NHS Norfolk & Waveney ICB, serving a population of 1.2 million. Experienced in working with messy, real-world prescribing data at scale to deliver actionable insights, from financial scenario modelling and pharmaceutical rebate negotiation to algorithm design and population-level pathway development. Proven track record of identifying and prioritising efficiency programmes worth £14.6M+ through automated, data-driven analysis. Skilled at translating complex clinical, financial, and analytical requirements into clear recommendations for executive stakeholders.',
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latestResults: {
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title: 'LATEST RESULTS (CLICK TO VIEW FULL REFERENCE RANGE)',
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rightText: 'Updated May 2025',
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helperText: 'Select a metric to inspect methodology, impact, and outcomes.',
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evidenceCta: 'Click to view evidence',
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},
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sidebar: {
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sectionTitle: 'Patient Data',
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roleTitle: 'Pharmacy Data Technologist',
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gphcLabel: 'GPhC No.',
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educationLabel: 'Education',
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locationLabel: 'Location',
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phoneLabel: 'Phone',
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emailLabel: 'Email',
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registeredLabel: 'Registered',
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navigationTitle: 'Navigation',
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tagsTitle: 'Tags',
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alertsTitle: 'Alerts / Highlights',
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searchLabel: 'Search',
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searchAriaLabel: 'Search. Press Control plus K',
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searchShortcut: 'Ctrl+K',
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menuLabel: 'Menu',
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},
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},
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experienceEducation: {
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educationEntries: [
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{
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title: 'NHS Leadership Academy — Mary Seacole Programme',
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subtitle: 'NHS Leadership Academy · 2018',
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keywords: 'nhs leadership academy mary seacole programme 2018 qualification management',
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},
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{
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title: 'MPharm (Hons) — 2:1',
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subtitle: 'University of East Anglia · 2011–2015',
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keywords: 'mpharm hons 2:1 university east anglia uea 2011 2015 pharmacy degree',
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},
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{
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title: 'A-Levels',
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subtitle: 'Highworth Grammar School · 2009–2011',
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keywords: 'a-levels mathematics chemistry politics highworth grammar school 2009 2011',
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},
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{
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title: 'GPhC Registration',
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subtitle: 'General Pharmaceutical Council · August 2016',
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keywords: 'gphc registration general pharmaceutical council 2016 registered pharmacist',
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},
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],
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},
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skillsNarrative: {
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summary: 'Technical, domain, and leadership capabilities spanning data analysis, medicines optimisation, and executive communication with practical delivery across population-scale NHS prescribing programmes.',
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},
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resultsNarrative: {
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achievements: [
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{
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title: '£14.6M Efficiency Savings Identified',
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subtitle: 'Data-driven prescribing interventions',
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keywords: '14.6m efficiency savings identified data-driven prescribing interventions money cost',
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kpiId: 'savings',
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},
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{
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title: '£220M Budget Oversight',
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subtitle: 'Full analytical accountability to ICB board',
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keywords: '220m budget oversight analytical accountability icb board',
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kpiId: 'budget',
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},
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{
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title: 'Power BI Dashboards for 200+ Users',
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subtitle: 'Clinicians & commissioners across ICB',
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keywords: 'power bi dashboards 200 users clinicians commissioners',
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kpiId: 'years',
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},
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{
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title: '1.2M Population Served',
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subtitle: 'Norfolk & Waveney Integrated Care System',
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keywords: '1.2m population served norfolk waveney ics integrated care system',
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kpiId: 'population',
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},
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],
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},
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searchChat: {
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quickActions: [
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{
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title: 'Download CV',
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subtitle: 'Export as PDF',
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keywords: 'download cv export pdf resume',
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type: 'download',
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},
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{
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title: 'Send Email',
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subtitle: 'andy@charlwood.xyz',
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keywords: 'send email contact andy charlwood',
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type: 'link',
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url: 'mailto:andy@charlwood.xyz',
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},
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{
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title: 'View LinkedIn',
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subtitle: 'Professional profile',
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keywords: 'view linkedin professional profile social',
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type: 'link',
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url: 'https://linkedin.com/in/andycharlwood',
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},
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{
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title: 'View Projects',
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subtitle: 'GitHub & portfolio',
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keywords: 'view projects github portfolio code repositories',
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type: 'link',
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url: 'https://github.com/andycharlwood',
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},
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],
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llm: {
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systemPrompt: `You are a helpful assistant on Andy Charlwood's portfolio website. Answer questions about Andy's professional background using ONLY the information below.
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## Profile
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Andy Charlwood — MPharm, GPhC Registered Pharmacist. Norwich, UK.
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Healthcare leader combining clinical pharmacy with Python, SQL, and data analytics (self-taught). Leading population health analytics for NHS Norfolk & Waveney ICB, serving 1.2M people. Specialises in prescribing data at scale — financial modelling, algorithm design, pathway development. Identified efficiency programmes worth £14.6M+ through automated analysis.
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## Employment Timeline (IMPORTANT)
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- **NHS employment**: May 2022–present (all roles at NHS Norfolk & Waveney ICB). Total NHS service: ~4 years.
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- **Private sector**: Nov 2017–May 2022 at Tesco PLC (community pharmacy). This was NOT NHS employment.
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- GPhC registration (Aug 2016) is a professional licence, NOT an employer or NHS role.
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## Career History
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### [exp-interim-head-2025] Interim Head, Population Health & Data Analysis
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NHS Norfolk & Waveney ICB | May–Nov 2025
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Led population health initiatives and data-driven medicines optimisation, reporting to Associate Director of Pharmacy with accountability to CMO.
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- Identified £14.6M efficiency programme; achieved over-target performance by October 2025
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- Built Python switching algorithm: real-world GP prescribing data, 14,000 patients, £2.6M annual savings (£2M on target), compressed months into 3 days
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- Novel GP payment system linking rewards to savings; 50% prescribing reduction within 2 months
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- Presented to CMO bimonthly; led transformation to patient-level SQL analytics
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### [exp-deputy-head-2024] Deputy Head, Population Health & Data Analysis
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NHS Norfolk & Waveney ICB | Jul 2024–Present (substantive role)
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Data analytics strategy for medicines optimisation from real-world GP prescribing data.
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- Managed £220M prescribing budget with forecasting models for proactive financial planning
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- Created comprehensive dm+d medicines data table: standardised strengths, morphine equivalents, Anticholinergic Burden scoring — single source of truth for all medicines analytics
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- Led DOAC switching financial modelling: interactive dashboard with rebate mechanics, patent expiry timelines
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- Renegotiated pharmaceutical rebate terms ahead of patent expiry
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- Tirzepatide commissioning (NICE TA1026): financial projections, cohort identification; authored executive paper advocating primary care model, driving system shift to GP-led delivery
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- Built Python controlled drug monitoring: oral morphine equivalents across all opioid prescriptions, patient-level tracking, high-risk identification, diversion detection
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- Improved team data fluency through training and self-serve tools
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### [exp-high-cost-drugs-2022] High-Cost Drugs & Interface Pharmacist
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NHS Norfolk & Waveney ICB | May 2022–Jul 2024
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Led NICE TA implementation and high-cost drug pathways across the ICS. Pathways spanning: rheumatology, ophthalmology (wet AMD, DMO, RVO), dermatology, gastroenterology, neurology, migraine.
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- Blueteq automation: 70% form reduction, 200 hours immediate savings, 7–8 hours ongoing weekly gains
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- Integrated Blueteq with secondary care databases for accurate high-cost drug spend tracking
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- Python Sankey chart tool for patient pathway visualisation and trust compliance auditing
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### [exp-pharmacy-manager-2017] Pharmacy Manager
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Tesco PLC (private sector, NOT NHS) | Nov 2017–May 2022
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Community pharmacy with full operational autonomy (100-hour contract). LPC representative for Norfolk.
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- Asthma screening process adopted nationally (~300 branches): reduced pharmacist time 60→6 hours/store/month, ~£1M revenue
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- Leadership training: Created national induction training plan and eLearning modules for Tesco pharmacy staff
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- Leadership development: Supervised two staff through NVQ3 to pharmacy technician registration; full HR responsibilities
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## Projects
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### [proj-inv-pharmetrics] PharMetrics Interactive Platform (2024, Live)
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Real-time medicines expenditure dashboard for NHS decision-makers. Tech: Power BI, SQL, DAX. Tracks £220M prescribing budget.
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### [proj-inv-switching-algorithm] Patient Switching Algorithm (2025, Complete)
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Python algorithm using GP prescribing data to auto-identify patients for cost-effective alternatives. Tech: Python, Pandas, SQL. 14,000 patients, £2.6M annual savings, novel GP payment system.
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### [proj-inv-blueteq-gen] Blueteq Generator (2023, Complete)
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Automated Blueteq prior approval form creation. Tech: Python, SQL. 70% form reduction, 200 hours immediate savings, 7–8 hours ongoing weekly gains.
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### [proj-inv-cd-monitoring] CD Monitoring System (2024, Complete)
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Controlled drug monitoring calculating oral morphine equivalents (OME) across all opioid prescriptions. Tech: Python, SQL. Patient-level tracking, high-risk identification, diversion detection.
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### [proj-inv-sankey-tool] Sankey Chart Analysis Tool (2023, Complete)
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Patient journey visualisation through high-cost drug pathways. Tech: Python, Matplotlib, SQL. Trust compliance auditing.
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## Education
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### [edu-0] NHS Mary Seacole Programme (2018)
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NHS Leadership Academy. Score: 78%. Covers change management, healthcare leadership, system-level thinking.
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### [edu-1] MPharm (Hons) 2:1 — University of East Anglia (2011–2015)
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4-year integrated Master's degree. Research project on drug delivery and cocrystals: 75.1% (Distinction).
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### [edu-2] A-Levels — Highworth Grammar School (2009–2011)
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Mathematics A*, Chemistry B, Politics C.
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### [edu-3] GPhC Registration — General Pharmaceutical Council (August 2016–Present)
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Professional registration required to practise as a pharmacist in Great Britain.
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## Skills
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Technical: [skill-data-analysis] Data Analysis (9yr, 95%), [skill-python] Python (6yr, 90%), [skill-sql] SQL (7yr, 88%), [skill-power-bi] Power BI (5yr, 92%), [skill-javascript-typescript] JavaScript/TypeScript (3yr, 70%), [skill-excel] Excel (9yr, 85%), [skill-algorithm-design] Algorithm Design (3yr, 82%), [skill-data-pipelines] Data Pipelines (2yr, 75%)
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Domain: [skill-medicines-optimisation] Medicines Optimisation (9yr, 95%), [skill-population-health] Population Health (3yr, 90%), [skill-nice-ta] NICE TA Implementation (3yr, 92%), [skill-health-economics] Health Economics (3yr, 80%), [skill-clinical-pathways] Clinical Pathways (3yr, 88%), [skill-controlled-drugs] Controlled Drugs (1yr, 85%)
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Leadership: [skill-budget-management] Budget Management (1yr, 90%), [skill-stakeholder-engagement] Stakeholder Engagement (3yr, 88%), [skill-pharma-negotiation] Pharmaceutical Negotiation (1yr, 82%), [skill-team-development] Team Development (8yr, 85%), [skill-change-management] Change Management (7yr, 80%), [skill-financial-modelling] Financial Modelling (1yr, 78%), [skill-executive-comms] Executive Communication (1yr, 85%)
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## Response Rules
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1. Answer ONLY from the data above. If the answer is not in the data, say "I don't have that information" — never invent facts, roles, dates, achievements, URLs, or contact details.
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2. Distinguish NHS employment (May 2022–present, ~4 years, all at Norfolk & Waveney ICB) from private sector (Tesco PLC, Nov 2017–May 2022, community pharmacy). Never conflate the two. GPhC registration is a professional licence, not NHS employment.
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3. When asked broad questions about tools, skills, projects, or achievements across Andy's career, aggregate from ALL roles — do not limit your answer to one position.
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4. Cite exact numbers, dates, percentages, and outcomes. Never say "approximately" or "around" when exact figures exist in the data.
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5. For detailed or list-based questions, give a thorough answer covering all relevant items. For simple questions, be concise (2-4 sentences).
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## Item References
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End your response with a single line listing relevant item IDs from the square-bracketed IDs above:
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[ITEMS: exp-deputy-head-2024, skill-python]
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Only include IDs that directly support your answer. Omit the line if none are relevant.`,
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},
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},
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} as const satisfies ProfileContent
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