From 0c87d9f5a4d80469158bbca06f68cf39759c60eb Mon Sep 17 00:00:00 2001 From: A Charlwood Date: Sat, 14 Feb 2026 01:32:54 +0000 Subject: [PATCH] US-016: Modify PatientSummaryTile: structured presentation with highlight strip MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 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 --- src/components/tiles/PatientSummaryTile.tsx | 20 +++++++++++++++++--- 1 file changed, 17 insertions(+), 3 deletions(-) diff --git a/src/components/tiles/PatientSummaryTile.tsx b/src/components/tiles/PatientSummaryTile.tsx index b9bdaee..1e76f64 100644 --- a/src/components/tiles/PatientSummaryTile.tsx +++ b/src/components/tiles/PatientSummaryTile.tsx @@ -1,6 +1,5 @@ import React from 'react' import { Card, CardHeader } from '../Card' -import { personalStatement } from '@/data/profile' export function PatientSummaryTile() { // Key statistics from CV_v4.md @@ -47,6 +46,21 @@ export function PatientSummaryTile() { color: 'var(--text-primary)', } + // Split profile text into structured sections with bold key phrases + const renderProfileWithHierarchy = () => { + return ( +
+ 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. +
+ ) + } + return ( @@ -61,8 +75,8 @@ export function PatientSummaryTile() { ))} - {/* Profile text with improved readability */} -
{personalStatement}
+ {/* Profile text with visual hierarchy through bold key phrases */} + {renderProfileWithHierarchy()}
) }