A

Health Checkup Results Action Translator

3.75

Derivation Chain

Step 1 Interpreting Health Checkup results and managing follow-up care
Step 2 Mapping each finding to next actions (specialist visits/lifestyle changes)

Problem

Adults aged 50–65 receive annual national Health Checkup results with 20–30 metrics and findings labeled 'borderline,' 'suspected,' or 'abnormal,' but there's no connection to how urgent each finding is, which specialist to see, or what lifestyle changes to make immediately. As a result, over 60% of those flagged with abnormal findings never follow up with a doctor, allowing conditions to worsen.

Solution

Upload your Health Checkup results as a PDF or manually enter key values to have each item classified into 4 tiers: normal/borderline/caution/critical. Items are sorted by risk level and mapped to: (1) specialist departments to visit immediately, (2) items requiring follow-up testing within 3 months, and (3) specific lifestyle change action items. Borderline values also show year-over-year trend comparisons.

Target: Workers or regional health insurance subscribers aged 50–65 who undergo annual national Health Checkups and have pre-chronic conditions (borderline blood pressure, blood sugar, or cholesterol)
Revenue Model: Basic analysis (manual input) Free, PDF auto-parsing + annual trend comparison + weekly lifestyle reminder at 3,900 KRW (~$2.90)/month
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
4.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (68%)

Tech Complexity
29.3/40
Data Availability
18.3/25
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.

Market Validation (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
10.5/15
Solo Buildability
8.0/10
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.

Technical Requirements

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