CVMIS: CHARLWOOD, A
+ CVMIS: CHARLWOOD, A.
diff --git a/src/components/ChatWidget.tsx b/src/components/ChatWidget.tsx
index a2bd0e6..1b73040 100644
--- a/src/components/ChatWidget.tsx
+++ b/src/components/ChatWidget.tsx
@@ -221,7 +221,7 @@ export function ChatWidget({ onAction }: ChatWidgetProps) {
data-chat-panel
className="fixed z-[90] font-ui
inset-0 rounded-none max-md:z-[101]
- md:inset-auto md:bottom-[88px] md:right-6 md:rounded-xl"
+ md:inset-auto md:bottom-[88px] md:right-6 md:rounded-xl lg:bottom-[100px] xl:bottom-[112px]"
style={{
background: 'var(--surface)',
border: '1px solid var(--border-light)',
diff --git a/src/components/constellation/PlayPauseButton.tsx b/src/components/constellation/PlayPauseButton.tsx
index 4eb9af8..a0a5c68 100644
--- a/src/components/constellation/PlayPauseButton.tsx
+++ b/src/components/constellation/PlayPauseButton.tsx
@@ -41,7 +41,7 @@ export const PlayPauseButton: React.FC = ({
setScrolling(true)
clearTimeout(debounceRef.current)
- debounceRef.current = window.setTimeout(() => setScrolling(false), 1000)
+ debounceRef.current = window.setTimeout(() => setScrolling(false), 500)
}
scrollParent.addEventListener('scroll', update, { passive: true })
diff --git a/src/data/profile-content.ts b/src/data/profile-content.ts
index 51f1ec2..c1fe8ad 100644
--- a/src/data/profile-content.ts
+++ b/src/data/profile-content.ts
@@ -3,7 +3,7 @@ import type { DeepReadonly, ProfileContent } from '@/types/profile-content'
export const profileContent: DeepReadonly = {
profile: {
sectionTitle: 'Patient Summary',
- 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.',
+ 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 Medicines Optimisation 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.',
latestResults: {
title: 'LATEST RESULTS',
rightText: 'Updated February 2026',