HealthHub Disease Risk Simulator
A comprehensive product analysis of Singapore's national digital health platform feature that empowers users to understand their chronic disease risk and take preventive action early.

by Herchelle Valentina

About Disease Risk Simulator
National Digital Health Platform
HealthHub is Singapore's comprehensive digital health platform providing easy access to medical records, screenings, immunizations, and health tools for preventive care.
Disease Risk Simulator
A quick, personalized tool helping users understand their risk of chronic conditions like diabetes or heart disease, enabling informed early action.
Problem Statement
Most people don't realize their chronic disease risk until it's too late, delaying action and increasing long-term healthcare costs for individuals and government.
User Personas
Key stakeholders who interact with the Disease Risk Simulator
The Busy Executive - Mei Ling, 42
Regional Marketing Director and mother of two who's too busy to follow up on health screening reports. She's unsure how her lifestyle affects long-term health risks and wants to quickly understand her personal health risk while taking manageable steps to stay healthy for her family.
The Polyclinic Doctor - Dr. Nathan, 50
Senior Family Physician facing patients with little health risk awareness and short consult times. He aims to reduce chronic disease burden through early lifestyle interventions and improve consult quality by enhancing patient preparedness.
The Public Health Officer - Aisha, 45
Deputy Director at HPB needing scalable tools to improve preventive care uptake. She requires visibility into population-level health risk trends while working to reduce national costs from managing late-stage chronic diseases.
User Journey Mapping
Check-In
Mei Ling logs in to check her monthly health summary using Face ID, viewing basic indicators like BMI and blood pressure but struggling to understand what the numbers mean.
Simulate
She runs a quick risk check using the Disease Risk Simulator, entering age, weight, activity level, and family history to get a 5-year diabetes and heart risk score with color-coded meter.
Learn
She explores improvement options by tapping "How to Improve," reading three short lifestyle tips and watching a 30-second explainer video on blood sugar management.
Act
Based on recommendations, she schedules a subsidized health screening, sets a 30-day step goal with calendar reminders, and shares results with her coach or family on WhatsApp.
User Pain Points
Hard to Interpret Health Records
Screening results and medical reports are filled with jargon, making it difficult for busy professionals to understand what matters and what actions to take.
Lack of Personalized Health Feedback
Users receive generic health recommendations that don't account for their lifestyle, work stress, or risk factors—reducing relevance and impact.
Delayed Awareness of Health Risks
Without an easy way to visualize trends over time, early warning signs like rising BMI or borderline cholesterol go unnoticed until it's too late.
No Clear Next Steps After Screenings
After getting results, users are left wondering what to do next—there's no simple, guided path from data to decision or behavior change.
User Pain Point Prioritization
The prioritization matrix reveals that hard to interpret health records, delayed risk awareness, clear next steps, and habit reinforcement emerge as high-priority solutions due to their high impact and manageable implementation effort.
Solutions Framework
Moonshot Ideas
Voice-based health translator, real-time adaptive coaching, predictive insights
Good Ideas (High Impact)
AI-generated plain-English summaries, personalized risk scoring, guided next-step flows
Quick Wins
Color-coded results, static lifestyle tips, manual habit checklists with streaks
Our solution framework categorizes ideas from quick wins that can be implemented immediately to moonshot concepts that represent the future vision. The middle tier focuses on high-impact solutions that balance feasibility with significant user value, forming the core of our product strategy.
Solution Prioritization
Phase 1 High Priority
Plain-English summaries, personalized risk scoring, visual trend charts, guided actions, micro-habit nudging
Phase 2 Medium Priority
MOH-certified knowledge base, teleconsult booking, unified health dashboard
Future Considerations
Advanced AI coaching, predictive analytics, comprehensive ecosystem integration
The prioritization focuses on immediate impact solutions in Phase 1, including plain-English health record summaries and personalized risk scoring that directly address user pain points. Phase 2 builds on this foundation with enhanced features like teleconsult booking and unified dashboards.
Phase 1 Solution Details
1
Plain-English Summary of Health Records
Problem Solved: Medical reports are dense and difficult to interpret for non-clinical users.
Solution:
  • Automatically convert lab and screening results into plain-language summaries.
  • Highlight abnormalities in color (e.g., red = high, green = normal).
  • Use relatable phrasing: "Your cholesterol is slightly high—try reducing fried foods."
Key UI: Summary cards, emoji indicators (e.g., thumbs up/down), simplified chart labels.
Tech: NLP engine trained on MOH dataset + logic layer for formatting clinical data.
2
Personalized Risk Scoring Engine
Problem Solved: Users don't know their likelihood of developing chronic conditions.
Solution:
  • Calculates 5- and 10-year risk scores for diabetes, hypertension, etc.
  • Takes in user lifestyle, age, weight, family history, and past results.
  • Visualizes risk levels with color bands (low, moderate, high).
Key UI: Dial-style risk meter, risk breakdown by factor (e.g., age, diet).
Tech: Rule-based scoring models using FINDRISC, Framingham, etc.
3
Visual Trend Charts with Alerts
Problem Solved: Users miss early warning signs from slowly worsening indicators.
Solution:
  • Plots monthly/quarterly values (e.g., BP, BMI, glucose) in a timeline.
  • Flags negative trends and suggests small actions.
  • Alert system triggers on threshold breaches.
Key UI: Line charts, sparkline trends, colored indicators for worsening metrics.
Tech: Time-series health data + rules engine for alerts.
4
Guided "What's Next" Actions After Screenings
Problem Solved: Users don't know what to do with their results.
Solution:
  • After viewing a report, user sees next best actions.
  • Options: "Book a consult," "Join a walking challenge," "Retest in 6 months."
  • Personalized suggestions based on score and conditions.
Key UI: Post-result CTA section, checklist buttons, follow-up tracker.
Tech: Rule-based action engine connected to screening data and user profile.
5
Micro-Habit Nudging & Streaks
Problem Solved: Healthy behaviors fade without reinforcement.
Solution:
  • Suggest small, daily actions (e.g., "Walk 10 mins after lunch").
  • Track streaks, reward consistency with points or badges.
  • Tailor nudges to risk score or profile (e.g., low activity triggers movement nudge).
Key UI: Daily nudge card, streak tracker, habit completion tap.
Tech: Nudge engine + notification system + HPB point sync (optional).
Success Metrics
Action Conversion Rate
Users taking recommended next steps after risk simulation
User Growth
Increase in registered HealthHub users completing risk assessments
Customer Retention
Users continuing engagement at 12-month intervals
Risk Awareness
Users correctly identifying health risks post-simulation
These metrics focus on measuring both immediate user engagement and long-term behavior change. Action conversion rate indicates the tool's effectiveness in driving user action, while retention and awareness metrics demonstrate sustained value and educational impact.
Go-To-Market Strategy
1. Target Market
Primary Audience
1
Working professionals (30–55) managing busy lives
2
Pre-chronic risk individuals (e.g., high BMI, pre-diabetic)
3
Health-conscious users seeking preventive tools
Key Personas
1
Time-poor professionals needing clarity
2
Caregivers managing family health
3
MOH/HPB teams driving preventive health adoption
2. Launch Strategy
1
PHASE 1: PRE-LAUNCH (3–4 Weeks Before Launch)
Internal Training
Owner: Product + HPB outreach
Toolkit: Feature overview, risk models, FAQs
Bonus: 2-min Loom explainer for internal use
2
Beta Testing
Target: 50 HealthHub users from screening campaigns
Collect feedback on clarity and follow-through
Capture 3–5 testimonials and surface UX blockers
3
Teaser Campaign
Objective: Spark curiosity
Channels: LinkedIn, Telegram, polyclinic posters
Messaging: "Think you're healthy? Your score may say otherwise."
1
PHASE 2: LAUNCH WEEK
Email Blast
Audience: HealthHub screening participants
Subject: "Your Health Risk. Clearer Than Ever."
CTA: Try the Disease Risk Simulator
2
Live Webinar
Audience: MOH/partners/public
Format: 10-min problem → 10-min demo → 10-min Q&A
3
Doctor/PM AMA
Channels: LinkedIn, gov.sg blog, SG health forums
Title: "How We Built the Disease Risk Simulator"
1
PHASE 3: POST-LAUNCH (Week 1–6)
Drip Email Campaign
What your score means
How to take action
Progress tracking
Share with your doctor
2
Product-Led Growth Loop
Prompt users every 30 days to update lifestyle data
Copy: "Your habits have changed — update your risk score."
3. Channel Strategy
1
Owned Channels
HealthHub banner, in-app pushes, MOH newsletters
QR code on screening forms and test reports
2
Organic Social
LinkedIn + Facebook carousel: "Are You Really Healthy?"
YouTube Shorts/Reels: 15-sec use cases
3
Community + Clinics
Screensavers/posters in clinics
WhatsApp groups, RC outreach
Screening booths: QR to simulator
4. Pricing Strategy
Free for all HealthHub users
No cost for users to access the Disease Risk Simulator.
Future Premium Features
- Personalized health coaching
- Lifestyle-based risk simulations
- Insurance-linked rewards (e.g., AIA Vitality)