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Swasthya SentinelPredictive Hospital Intelligence

Predict. Prepare. Protect.

Agentic AI that helps hospitals anticipate and manage surges during festivals, pollution spikes, and epidemics.

AI Nodes Connecting Hospitals Across India

See Crisis Recovery in Action

Watch how Swasthya Sentinel prevents hospital collapse during a surge event

Festival Season Surge

A major festival draws 2 million visitors. Emergency departments across 5 hospitals face unprecedented patient influx.

Without Swasthya Sentinel: System collapse
With Swasthya Sentinel: Crisis averted

ICU Bed Status (20 Beds)

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Available
Occupied
Critical
ICU Occupancy65%

Ready to simulate

ER Wait Time45

minutes

Baseline: 45 minutes

Staff Load72%

Baseline: 72%

When the System Can't See It Coming

Hospital admissions rise up to 60% overnight during festive and pollution seasons.

1

Diwali Season

Respiratory cases spike 45%

2

Pollution Peaks

Emergency admissions double

3

Flu Season

ICU beds reach capacity

Hospital Bed Occupancy

Normal Days40%
Festival Days0%

How Swasthya Sentinel Responds

A scroll-based simulation showing how the system adapts in real time

Data Layer

Pollution data, festival APIs, patient records feeding into the AI

Local Orchestrator

Staffing, Supply, and Advisory Agents making local predictions

Regional Orchestrator

Central node coordinating multiple hospitals, balancing load dynamically

Patient Impact

Alerts sent in multiple languages via WhatsApp and SMS

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Data Layer

Pollution data, festival APIs, patient records feeding into the AI

Forecasts surge

Reallocates staff

Sends advisories

Reduces wait times

How Swasthya Sentinel Works

Real-world examples showing how our AI transforms hospital operations, improves patient outcomes, and optimizes resources.

Predict Patient Surges 7 Days in Advance

Our AI analyzes historical patterns, weather data, regional health events, and real-time admission trends to forecast patient volumes with 94% accuracy. Hospital administrators get actionable insights to prepare staffing, resources, and bed capacity before surges occur.

  • Predict surges 7 days in advance with 94% accuracy
  • Identify surge triggers: weather, events, regional outbreaks
  • Get specific recommendations for staffing and resource prep

Current Census

487

↑ 8% from yesterday

7-Day Forecast Peak

727

Expected on Day 5

Surge Alert

⚠️ Yes

Prepare resources

AI Insight

Based on historical patterns and current trends, we predict a significant patient surge by Day 5. Recommend increasing ICU staffing by 25% and pre-positioning emergency supplies.

ICU

92%vs 85%

12% cost

Emergency

88%vs 72%

8% wait time

Surgery

78%vs 65%

15% efficiency

General Ward

82%vs 78%

5% bed turnover

Pediatrics

68%vs 55%

18% utilization

Maternity

75%vs 62%

10% staffing

Optimize Resources in Real-Time

Swasthya Sentinel continuously monitors department utilization, staffing levels, and supply chains. It recommends optimal allocation strategies that reduce costs, minimize wait times, and prevent stockouts—all while maintaining quality care.

  • Increase department utilization by 15-20%
  • Optimize staffing allocation across departments
  • Reduce supply chain stockouts by 87%

Guide Patients Intelligently

Patients receive personalized guidance in their preferred language. Our system assesses urgency, recommends the right facility, shows wait times, and provides health advice—reducing unnecessary ER visits and improving patient satisfaction.

  • Multilingual support for diverse patient populations
  • Urgency-based routing to appropriate facilities
  • Real-time wait times and health recommendations
Critical Priority

Emergency - Go to nearest hospital immediately

Nearest Hospital

City Medical Center - 2.3 km away

Emergency & Cardiology

Expected Wait Time

15 mins

Current queue: 3 patients

AI Health Advisor

Call 108 ambulance immediately. Do not drive yourself.

✓ Available in Hindi - Patient receives all guidance in their preferred language with culturally relevant health information.

Every recommendation is fully explainable. Click on any decision to see the reasoning behind it.

Decision Confidence

94%

Key Factors Contributing to This Decision:

📊

Historical Pattern Match

35%

Similar weather & day-of-week patterns from past 2 years show 68% surge probability

📈

Real-time Admission Trend

28%

Current admission rate is 12% above baseline for this time period

🏥

Regional Health Events

18%

Flu outbreak reported in nearby districts; expected spillover effect

🌡️

Weather Forecast

12%

Cold front moving in; respiratory cases typically increase by 15-20%

💬

Social Media Sentiment

7%

Increased health-related queries in local communities

Transparent AI: Hospital staff can override any recommendation with documented reasoning. All decisions are logged for audit trails.

Transparent AI You Can Trust

Every recommendation is fully explainable. Hospital staff see the exact factors, data sources, and confidence levels behind each decision. This transparency builds trust and allows clinicians to make informed overrides when needed.

  • See all factors contributing to each recommendation
  • Confidence scores for every decision
  • Full audit trails for compliance and accountability

Measurable Impact

Real outcomes that transform healthcare delivery and save lives

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35%

Shorter Wait Times

Reduced patient wait times during peak periods through predictive resource allocation

📦
100%

Zero Supply Stockouts

Maintained supply levels during peak periods with AI-driven inventory management

🏥
500+

Rural Hospitals Connected

Hospitals across India connected to the network for collaborative care