B

Annual Health Checkup Result Trend Tracker

3.35

Derivation Chain

Step 1 KAIST brain-inspired AI + health management data utilization
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Step 2 Difficulty interpreting health checkup numbers for people in their 50s
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Step 3 Detection of yearly trends and risk transition points

Problem

People in their 50s and 60s receive national health checkups every year, but after receiving the results, they only check the grade (e.g., 'normal B', 'borderline') and move on. If fasting blood sugar was 98 last year and 104 this year, no one tells them whether this means entering the pre-diabetes stage, or where the trend of increasing by 2-3 per year will lead in three years. The National Health Insurance Service website allows you to look up past results, but it only lists numbers without showing visual trends or correlations between items (e.g., if blood pressure increase + weight gain + cholesterol increase occur together, it indicates cardiovascular risk).

Solution

By uploading a PDF of the health checkup results or entering the numbers directly on the web, the service displays changes in key metrics (blood sugar, blood pressure, cholesterol, liver function, kidney function, weight/BMI) over the past 3-5 years as visual graphs. It color-codes each metric's normal/borderline/risk ranges and provides trend warnings such as 'if the current trend continues, you are expected to enter the risk range in N years'. It also shows correlations between items (e.g., weight gain accompanied by blood sugar increase) and suggests priorities for lifestyle improvements.

Target: Office workers aged 50-62 who undergo annual national health checkups, have experienced pre-chronic disease diagnoses (pre-hypertension, pre-diabetes), or have a family history of diabetes or hypertension.
Revenue Model: Free: basic graphs + 3-year tracking. Premium (5,000 KRW / $3.75 per transaction or 3,000 KRW / $2.25 per month): detailed trend analysis PDF report, cross-item correlation analysis, family history-based personalized risk assessment, and diet/exercise improvement suggestions.
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Frontend [medium] Backend [medium] Data Pipeline [low]
Dashboard