US-016: Modify PatientSummaryTile: structured presentation with highlight strip

- Added visual hierarchy to profile text using bold key phrases
- Key terms highlighted: Healthcare leader, Python/SQL/data analytics, leading population health analytics, financial scenario modelling, pharmaceutical rebate negotiation, algorithm design, population-level pathway development, £14.6M+, executive stakeholders
- Profile text no longer a wall of text - strategic bolding creates visual structure
- Removed unused personalStatement import
- Highlight strip with key stats already implemented (9+ Years, 1.2M, £220M, £14.6M+)
- Profile text sourced from CV_v4.md Profile section

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-02-14 01:32:54 +00:00
parent 8830c223aa
commit 0c87d9f5a4
+17 -3
View File
@@ -1,6 +1,5 @@
import React from 'react' import React from 'react'
import { Card, CardHeader } from '../Card' import { Card, CardHeader } from '../Card'
import { personalStatement } from '@/data/profile'
export function PatientSummaryTile() { export function PatientSummaryTile() {
// Key statistics from CV_v4.md // Key statistics from CV_v4.md
@@ -47,6 +46,21 @@ export function PatientSummaryTile() {
color: 'var(--text-primary)', color: 'var(--text-primary)',
} }
// Split profile text into structured sections with bold key phrases
const renderProfileWithHierarchy = () => {
return (
<div style={profileTextStyles}>
<strong>Healthcare leader</strong> combining clinical pharmacy expertise with proficiency in{' '}
<strong>Python, SQL, and data analytics</strong>, 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{' '}
<strong>leading population health analytics for NHS Norfolk & Waveney ICB</strong>, serving a population of 1.2 million. Experienced in working with messy, real-world prescribing data at scale to deliver actionable insightsfrom{' '}
<strong>financial scenario modelling</strong> and <strong>pharmaceutical rebate negotiation</strong> to{' '}
<strong>algorithm design</strong> and <strong>population-level pathway development</strong>. Proven track record of identifying and prioritising efficiency programmes worth{' '}
<strong>£14.6M+</strong> through automated, data-driven analysis. Skilled at translating complex clinical, financial, and analytical requirements into clear recommendations for{' '}
<strong>executive stakeholders</strong>.
</div>
)
}
return ( return (
<Card full tileId="patient-summary"> <Card full tileId="patient-summary">
<CardHeader dotColor="teal" title="PATIENT SUMMARY" /> <CardHeader dotColor="teal" title="PATIENT SUMMARY" />
@@ -61,8 +75,8 @@ export function PatientSummaryTile() {
))} ))}
</div> </div>
{/* Profile text with improved readability */} {/* Profile text with visual hierarchy through bold key phrases */}
<div style={profileTextStyles}>{personalStatement}</div> {renderProfileWithHierarchy()}
</Card> </Card>
) )
} }