A
Polypharmacy Doctor Visit Question Generator
3.80
Derivation Chain
Step 1
Chronic disease polypharmacy management
→
Step 2
Drug interaction verification
→
Step 3
Not knowing what to ask the doctor after discovering interactions
Problem
Even when patients in their 50s+ are aware of potential drug interaction issues, they don't know how to ask their doctor 'Is this combination of medications safe?' During an average consultation of under 4 minutes, they don't know what information to present or in what order to help the doctor make a judgment. Most end up only saying 'I think I'm taking too many medications' and leave without any concrete action.
Solution
A web service where users input their current medication list and symptoms to (1) auto-generate a one-page 'My Medication Summary' (organized by hospital and active ingredient), (2) output 3-5 'items that need verification for this combination' categorized by medical specialty, and (3) provide a memo template for recording doctor's responses after the consultation.
NUMR-V Scores
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 (80%)
Data Availability
20.0/25
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 (54/100)
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 [low]
Backend [low]