- Python: startYear corrected 2019→2017 (self-taught during Tesco night
shifts per secondary ref); yearsOfExperience 6→8
- SQL: startYear corrected 2018→2022 (learned after gaining NHS database
access per secondary ref); removed unverified pre-2022 history entries
- Power BI: fixed prescribing history year inconsistency (2019→2020);
removed "PharMetrics real-time expenditure dashboard" reference
- All skill categories and names verified against CV Core Competencies
- PharMetrics: corrected from "Interactive Platform" to "Switching Dashboard"
to align with references (PharMetrics is the switching algorithm project);
updated methodology to match secondary ref's dashboard description
- All other investigations (switching algorithm, Blueteq, CD monitoring,
Sankey tool) verified against CV and secondary reference — no changes needed
- Budget KPI: removed unverified "monthly" reporting frequency,
aligned with CV's "bimonthly" CMO presentations
- Population KPI: removed "monitor medicines safety" to match CV;
"aggregate reporting" → "practice-level data" per CV wording
- Also fixed timeline.ts Interim Head detail to match CV wording
- All KPI values (£220M, £14.6M, £2.6M, 1.2M) verified against CV
- Address corrected from 'Norwich, NR1' to 'Norwich, UK' to match CV
- Created References/unverified-content.md to track audit findings
- Flagged retained-but-unverifiable personal data (DOB, GPhC number, LinkedIn slug)
- All other fields verified against CV_v4.md
Move the ~110-line LLM system prompt to src/data/llm-prompt.ts, removing
the LLMCopy type, getLLMCopy() accessor, and llm field from ProfileContent.
llm.ts now imports the prompt directly. profile-content.ts drops from 246
to 133 lines, retaining only UI copy and search metadata.
Timeline entities now contain their narrative data (description, details,
outcomes, codedEntries) directly instead of fetching via
getTimelineNarrativeEntry(). Removes ~155 lines from profile-content.ts,
the accessor function, and three dead types.
- Add OSCE score (80%) to MPharm inline details via educationExtras data
- Show research project with full description (Drug delivery & cocrystals, 75.1%)
- Display A-level grades as Mathematics (A*) · Chemistry (B) · Politics (C)
- Include Mary Seacole programme detail from educationExtras
- Import and use educationExtras data for dynamic inline content
- Add osceScore field to EducationExtra type
- Each entry clickable to open detail panel, hover border shift intact
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Create src/data/constellation.ts with role-skill mapping for D3 career graph
- Export RoleSkillMapping interface defining roleId and skillIds structure
- Map 6 career roles to their associated skill IDs from skills.ts
- Export constellationNodes array (5 role nodes + 21 skill nodes) with organization, startYear, endYear, orgColor for roles and domain for skills
- Export constellationLinks array connecting skills to roles with strength values (0-1)
- Role orgColors: Tesco (#00897B), NHS (#005EB8) for distinct visual grouping
- All role IDs match consultation IDs from consultations.ts
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add educationExtras.ts with expanded detail for education entries:
- MPharm: extracurriculars and research description from CV
- Mary Seacole: programme detail about leadership qualification
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Change 4th KPI from 'Team Size Led' to 'Population Served' (1.2M)
- Add story field to all 4 KPIs with context, role, outcomes, and period
- £220M story: ICB prescribing budget oversight with forecasting models
- £14.6M story: Efficiency programme identification through data analysis
- 9+ Years story: Career progression from community pharmacy to system leadership
- 1.2M story: Population health analytics for Norfolk & Waveney ICS
- All story content sourced from References/CV_v4.md
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Created five new data files for GP System Dashboard:
- src/data/profile.ts: Personal statement from CV_v4.md
- src/data/tags.ts: Sidebar tags (5 entries with color variants)
- src/data/alerts.ts: Sidebar alert flags (2 entries)
- src/data/kpis.ts: Latest Results metrics (4 KPI entries with explanations)
- src/data/skills.ts: Core technical skills as "medications" (5 entries with user-specified frequencies)
Updated src/types/pmr.ts with new interfaces:
- Tag: label + colorVariant
- Alert: message + severity + icon
- KPI: id + value + label + sub + colorVariant + explanation
- SkillMedication: full medication structure with frequency, years, proficiency, category, status, icon
All CV content matches References/CV_v4.md exactly. All quality checks pass.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Add src/types/pmr.ts with interfaces for Patient, Consultation, Medication, Problem, Investigation, Document
- Add src/data/consultations.ts with 5 roles mapped to clinical consultation format
- Add src/data/medications.ts with 18 skills as medications across Active/Clinical/PRN categories
- Add src/data/problems.ts with 11 achievements/problems using traffic light status system
- Add src/data/investigations.ts with 5 projects as clinical investigations
- Add src/data/documents.ts with 5 education/certification documents
- Add src/data/patient.ts with patient demographic data
All data matches CV_v4.md exactly (dates, numbers, achievements).
Task 1 of 15 complete.
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