Skip to content
Arogya Sahayak

Arogya Sahayak

Arogya Sahayak – Predict. Prepare. Protect.

Created on 14th August 2025

Arogya Sahayak

Arogya Sahayak

Arogya Sahayak – Predict. Prepare. Protect.

Description of your solution

1. What We Plan to Build

We are building Arogya Sahayak, an AI-powered hospital assistant that helps hospitals predict patient surges, optimize staff, manage supplies, and provide real-time public health alerts, turning complex data into simple, actionable insights for smarter, faster, and more efficient healthcare management.

  • Anticipate patient surges before they happen
  • Optimize staffing schedules
  • Manage medical supplies efficiently
  • Issue timely public health advisories

It uses real-time insights from:

  • Local festivals and events
  • Pollution levels
  • Public health news

2. Specific Pain Points Addressed

  • Unexpected Patient Surges: Hospitals struggle with sudden increases in patient numbers during festivals, seasonal outbreaks, or local events.
  • Resource Shortages: Limited medical supplies or staffing gaps can impact patient care quality.
  • Reactive Management: Most hospitals act after problems occur rather than predicting them.
  • Data Overload & Poor Insights: Raw patient data without actionable insights makes it hard to plan ahead.
  • Public Health Communication Gaps: Hospitals often lack guidance on when to alert communities or adjust services proactively.

3. Target Audience

Primary Users:

  • Hospital administrators and operations managers
  • Doctors responsible for scheduling and patient care
  • Staff planners in public and private healthcare centers

Secondary Users:

  • Public health officials monitoring regional health trends
  • NGOs and healthcare consultancies supporting hospitals

4. GTM (Go-to-Market) & Revenue Streams

Go-to-Market Strategy (GTM):

  • Phase 1 – Pilot Programs: Deploy in Tier-1 & Tier-2 city hospitals with high patient volume.
  • Phase 2 – Partnerships: Collaborate with municipal health departments, hospital chains, and healthcare NGOs.
  • Phase 3 – Expansion: Use referral programs, real-time analytics dashboards, and integrate with existing hospital management systems.

Revenue Streams:

  • Subscription Model: Hospitals pay for AI-powered predictive analytics and actionable insights dashboards.
  • Consultancy & Training: Expert onboarding and hospital workflow optimization services.
  • B2B Partnerships: Collaborate with healthcare suppliers, diagnostic labs, or pharma companies for predictive demand planning.
  • Premium Insights: Advanced alerts and predictive modules (seasonal outbreaks, patient-type forecasting) as paid add-ons.

Tracks Applied (1)

Healthtech: Manage unpredictable surges in patients during festivals, pollution spikes, or epidemics with an AI agent that autonomously analyzes data and recommends staffing, supply, and patient advisory actions in advance.

Why Arogya Sahayak Fits the Healthcare Track Arogya Sahayak isn’t just another hospital management tool; it’s your AI-p...Read More

Discussion

Builders also viewed

See more projects on Devfolio