{
  "iteration": 2,
  "timestamp": "2026-02-16T00:56:36.049Z",
  "model": "z-ai/glm-5",
  "totalScore": 19,
  "maxPossibleScore": 20,
  "passThreshold": 18,
  "passed": true,
  "hasZeros": false,
  "results": [
    {
      "id": "Q01",
      "question": "How many years has Andy been employed by the NHS?",
      "expectedAnswer": "Approximately 3-4 years. Andy's NHS employment started in May 2022 when he joined NHS Norfolk and Waveney ICB. His previous role at Tesco PLC was in the private sector, not the NHS.",
      "actualAnswer": "Andy has been employed by the NHS for approximately 4 years, starting in May 2022 and continuing to the present. All of his NHS roles have been at NHS Norfolk & Waveney ICB. His prior employment at Tesco PLC (Nov 2017–May 2022) was in the private sector, not the NHS.\n\n[ITEMS: exp-interim-head-2025, exp-deputy-head-2024, exp-high-cost-drugs-2022]",
      "score": 2,
      "justification": "Correctly states May 2022 start, approximately 4 years, and Tesco as private sector."
    },
    {
      "id": "Q02",
      "question": "What was Andy's involvement with tirzepatide?",
      "expectedAnswer": "Andy supported commissioning of NICE TA1026 (tirzepatide). He authored the initial executive paper advocating a primary care delivery model over specialist provider, which drove a system shift to GP-led model.",
      "actualAnswer": "Andy led tirzepatide commissioning work for NICE TA1026 at NHS Norfolk & Waveney ICB. His involvement included producing financial projections and cohort identification. He also authored an executive paper advocating for a primary care model, which drove a system shift to GP-led delivery of tirzepatide services.\n\n[ITEMS: exp-deputy-head-2024]",
      "score": 2,
      "justification": "Covers all key facts: NICE TA1026, executive paper, primary care model, GP-led delivery. Adds helpful context."
    },
    {
      "id": "Q03",
      "question": "What specific tools and software has Andy built?",
      "expectedAnswer": "Andy has built 5 notable projects: a patient switching algorithm (Python, 14000 patients, £2.6M savings), a Blueteq generator for high-cost drug forms, a controlled drugs monitoring system, a Sankey chart tool for visualising patient flows, and PharMetrics — a Power BI analytics dashboard.",
      "actualAnswer": "Andy has built the following tools and software:\n\n**Python Tools:**\n- **Patient Switching Algorithm** — Auto-identifies patients for cost-effective alternatives using GP prescribing data; processed 14,000 patients, enabling £2.6M annual savings with a novel GP payment system linking rewards to savings\n- **Blueteq Generator** — Automates prior approval form creation; achieved 70% form reduction, 200 hours immediate savings, and 7–8 hours ongoing weekly gains\n- **CD Monitoring System** — Calculates oral morphine equivalents across all opioid prescriptions with patient-level tracking, high-risk identification, and diversion detection\n- **Sankey Chart Analysis Tool** — Visualises patient journeys through high-cost drug pathways for trust compliance auditing\n\n**Dashboards & Data Platforms:**\n- **PharMetrics Interactive Platform** — Real-time medicines expenditure dashboard tracking the £220M prescribing budget (Power BI, SQL, DAX)\n- **DOAC Switching Dashboard** — Interactive financial modelling dashboard with rebate mechanics and patent expiry timelines\n- **dm+d Medicines Data Table** — Comprehensive reference table standardising strengths, morphine equivalents, and Anticholinergic Burden scoring as a single source of truth for medicines analytics\n\n**Training Materials:**\n- **National induction training plan and eLearning modules** for Tesco pharmacy staff (adopted nationally across ~300 branches)\n\n[ITEMS: proj-inv-switching-algorithm, proj-inv-blueteq-gen, proj-inv-cd-monitoring, proj-inv-sankey-tool, proj-inv-inv-pharmetrics, exp-deputy-head-2024, exp-pharmacymanager-2017]",
      "score": 2,
      "justification": "Covers all 5 key projects accurately with additional valid details. No errors."
    },
    {
      "id": "Q04",
      "question": "What were Andy's A-level subjects and grades?",
      "expectedAnswer": "Andy achieved Mathematics A*, Chemistry B, and Politics C at Highworth Grammar School between 2009-2011.",
      "actualAnswer": "Andy's A-levels were Mathematics (A*), Chemistry (B), and Politics (C), completed at Highworth Grammar School from 2009–2011.\n\n[ITEMS: edu-2]",
      "score": 2,
      "justification": "Covers all key facts: Mathematics A*, Chemistry B, Politics C, and Highworth Grammar School correctly."
    },
    {
      "id": "Q05",
      "question": "Was Andy's Tesco role part of the NHS?",
      "expectedAnswer": "No. Andy's role at Tesco PLC was in the private sector as a community pharmacist. Tesco PLC is a private employer. He was an LPC representative during this time.",
      "actualAnswer": "No, Andy's Tesco role was not part of the NHS. It was private sector employment in community pharmacy (Nov 2017–May 2022). His NHS employment began in May 2022 at NHS Norfolk & Waveney ICB.\n\n[ITEMS: exp-pharmacymanager-2017]",
      "score": 2,
      "justification": "Correctly states private sector, community pharmacy, and not NHS. Minor omission of LPC representative detail."
    },
    {
      "id": "Q06",
      "question": "How did the patient switching algorithm work?",
      "expectedAnswer": "It was Python-based and used real-world GP prescribing data to auto-identify patients eligible for cost-effective medication alternatives. It compressed months of manual work into 3 days, covered 14,000 patients, and identified £2.6M in savings.",
      "actualAnswer": "The patient switching algorithm is a Python-based tool that analyses real-world GP prescribing data to automatically identify patients who could be switched to more cost-effective medication alternatives.\n\n**How it works:**\n- Uses GP prescribing data to scan patient records\n- Auto-identifies candidates suitable for switching to cost-effective alternatives\n- Built using Python, Pandas, and SQL\n\n**Results:**\n- Identified 14,000 patients for potential switching\n- Projected £2.6M annual savings (£2M was the target)\n- Compressed work that would have taken months into just 3 days\n- Included a novel GP payment system linking rewards to savings, achieving 50% prescribing reduction within 2 months\n\n[ITEMS: proj-inv-switching-algorithm, exp-interim-head-2025]",
      "score": 2,
      "justification": "Covers all key facts: Python, GP prescribing data, 14,000 patients, £2.6M savings, and compressed timeline to 3 days."
    },
    {
      "id": "Q07",
      "question": "What clinical specialties has Andy worked across?",
      "expectedAnswer": "Andy has worked across rheumatology, ophthalmology (wet AMD, DMO, RVO), dermatology, gastroenterology, neurology, and migraine through his high-cost drugs role.",
      "actualAnswer": "Based on Andy's NHS role leading NICE TA implementation and high-cost drug pathways, he has worked across the following clinical specialties:\n\n- **Rheumatology**\n- **Ophthalmology** — specifically wet AMD, DMO, and RVO pathways\n- **Dermatology**\n- **Gastroenterology**\n- **Neurology**\n- **Migraine**\n\nAdditionally, his project work and other roles include experience in:\n- **Pain management** — through controlled drug monitoring and opioid tracking\n- **Cardiovascular/anticoagulation** — through DOAC switching financial modelling\n- **Respiratory** — through asthma screening process development at Tesco (adopted nationally across ~300 branches)\n\n[ITEMS: exp-high-cost-drugs-2022, exp-deputy-head-2024, exp-pharmacymanager-2017, proj-inv-cd-monitoring]",
      "score": 2,
      "justification": "Covers all six key specialties accurately with correct ophthalmology details included."
    },
    {
      "id": "Q08",
      "question": "What is Andy's experience with the dm+d?",
      "expectedAnswer": "Andy created a comprehensive medicines data table integrating all dm+d products with standardised strengths, morphine equivalents, and Anticholinergic Burden scoring, serving as a single source of truth.",
      "actualAnswer": "Andy created a comprehensive dm+d medicines data table that standardises strengths, calculates morphine equivalents, and includes Anticholinergic Burden scoring. This table serves as a single source of truth for all medicines analytics at NHS Norfolk & Waveney ICB.\n\n[ITEMS: exp-deputy-head-2024]",
      "score": 2,
      "justification": "Covers all key facts: dm+d integration, standardised strengths, morphine equivalents, Anticholinergic Burden, and single source of truth."
    },
    {
      "id": "Q09",
      "question": "What budget does Andy manage and how?",
      "expectedAnswer": "Andy manages a £220M prescribing budget using forecasting models, variance analysis, and financial reporting to the executive team, enabling proactive financial planning.",
      "actualAnswer": "Andy manages a **£220M prescribing budget** for NHS Norfolk & Waveney ICB. He uses **forecasting models for proactive financial planning**, enabling the organisation to anticipate and respond to prescribing expenditure trends rather than reacting retrospectively.\n\nHis approach includes building interactive dashboards (such as the DOAC switching financial model with rebate mechanics and patent expiry timelines), creating standardised medicines data tables as a single source of truth, and developing Python algorithms that identify cost-saving opportunities — such as the patient switching algorithm that identified £2.6M in annual savings across 14,000 patients.\n\n[ITEMS: exp-deputy-head-2024, skill-budget-management, skill-financial-modelling]",
      "score": 1,
      "justification": "Covers £220M budget, forecasting models, and proactive planning, but omits variance analysis."
    },
    {
      "id": "Q10",
      "question": "What leadership training does Andy have?",
      "expectedAnswer": "Andy completed the NHS Mary Seacole Programme in 2018 (scoring 78%). At Tesco, he created a national induction training plan and eLearning modules, and supervised two staff through NVQ3 to pharmacy technician registration.",
      "actualAnswer": "Andy has formal leadership training through the **NHS Mary Seacole Programme** (2018) from the NHS Leadership Academy, where he achieved a score of 78%. The programme covers change management, healthcare leadership, and system-level thinking.\n\nAdditionally, during his time as Pharmacy Manager at Tesco PLC, he created national induction training plans and eLearning modules for Tesco pharmacy staff, and developed leadership skills through supervising staff through professional development (NVQ3 to pharmacy technician registration) with full HR responsibilities.\n\n[ITEMS: edu-0, exp-pharmacymanager-2017]",
      "score": 2,
      "justification": "Covers all key facts: Mary Seacole Programme, 2018, 78%, Tesco induction training, and NVQ3 supervision."
    }
  ]
}