Chronic Care Prescription Timeline

2.95

Derivation Chain

Step 1 Integrated management of chronic condition medication and checkup data

→

Step 2 Scattered prescriptions and checkup results across multiple hospitals

→

Step 3 Inability to identify causal relationships between medication changes and checkup metric trends

Problem

Adults aged 50-65 managing 2-3 chronic conditions simultaneously (hypertension, diabetes, hyperlipidemia) visit 3-4 different specialists (internal medicine, cardiology, ophthalmology) and receive separate prescriptions. There is no way to track on a timeline 'when a medication was changed and how blood pressure, blood sugar, and cholesterol levels changed before and after.' The national Health Insurance portal shows visit history but lacks a view connecting prescription changes with Health Checkup results. Patients must verbally explain past history at every new hospital visit and cannot personally assess the effectiveness of medication changes.

Solution

Users upload their national health insurance treatment history PDF and Health Checkup results PDF on the web, and the system overlays 'prescription change events' and 'checkup metric changes' on a single timeline view. It auto-highlights medication-metric correlation events like 'Blood pressure medication changed from A to B in March 2024; systolic BP decreased from 145 to 128 at June checkup.' It generates a one-page 'My Medication & Checkup Summary' PDF to show at hospital visits.

Target: Aged 50-65, managing 2+ chronic conditions simultaneously, visiting 3+ hospitals, with spouse or children involved in health management

Revenue Model: Free: 3 PDF uploads, timeline view. Premium (approx. $2.15/month): Unlimited uploads, hospital visit summary PDF, medication change alerts

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

3.0/5

R Realizability

2.0/5

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 (63%)

Tech Complexity

24.0/40

Data Availability

19.4/25

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 (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	/ 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] AI/ML [medium]

Dashboard