B

Parent Hospital Visit Pre-Briefing

3.65

Derivation Chain

Step 1 Increasing caregiving burden for middle-aged adults with elderly parents
→
Step 2 Adults in their 40s-50s accompanying parents aged 70-80+ to hospital but unable to ask proper questions due to short consultation times
→
Step 3 Difficulty accurately relaying doctor's explanations to parents and siblings after appointments

Problem

When working professionals aged 45-55 take their parents (aged 70-80+) to a university hospital, the actual consultation lasts only 5 minutes but they need to visit 3-4 different departments. They rely on memory to explain their parents' medication history and checkup results, causing critical information to be missed. Medical jargon makes it hard to fully understand the doctor's explanations on the spot. When sharing updates with siblings via messaging apps afterward, inaccurate information gets passed along repeatedly.

Solution

Before a hospital visit, users input their parent's current medication list, recent checkup results, and prior medical records. The service auto-generates a one-page briefing sheet with a 'question list + condition summary' for each department. After the visit, users can input notes from the doctor's explanations, which are translated into plain language and formatted as a family-shareable summary.

Target: Aged 45-55, actively caring for parents aged 70-80+, 2 or more siblings requiring information sharing, using university hospitals in Seoul metropolitan area
Revenue Model: Free Basic (2 briefing generations/month), Premium (unlimited + family sharing + history) at 3,900 KRW (~$2.90)/month
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
2.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (71%)

Tech Complexity
29.3/40
Data Availability
21.7/25
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 (51/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
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] Other [low]
Dashboard