Parent Medication Cross-Check Board

3.30

Derivation Chain

Step 1 Health Checkup result interpretation & tracking

→

Step 2 Increasing polypharmacy among middle-aged and seniors

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Step 3 Cross-hospital prescription interaction risk blind spots

Problem

When people in their 50s manage the health of their parents aged 75-85, no institution provides an integrated check on drug interactions among the 8-12 medications prescribed separately by 3-4 different hospitals (internal medicine, orthopedics, ophthalmology, etc.). Korea's DUR (Drug Utilization Review) system only works within the same pharmacy, creating blind spots when parents use two or more pharmacies. Unnecessary hospitalizations due to polypharmacy side effects cost hundreds of thousands of won (hundreds of dollars) annually.

Solution

Users enter all medications their parents are currently taking (or upload prescription photos) on the web. The service classifies drug interaction risks into three levels (Caution/Warning/Danger). It automatically generates 'question cards to show the doctor at the next hospital visit,' enabling adult children to effectively ask questions on behalf of their parents—or for parents to ask themselves.

Target: Office workers aged 48-58, supporting parents aged 75+, whose parents visit 3+ hospitals and take 5+ medications

Revenue Model: One free interaction check per month. Continuous monitoring + auto-generated doctor question cards per hospital at $1.40/month (~1,900 KRW).

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

3.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation 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

19.2/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (55/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

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

Dashboard