Hospital Command Center
Real-time overview of hospital emergency operations
30 May 2024, Thu
Administrator
in next 2 hours
in next 3 hours
Unusual increase detected
Total Patients
| Department | Patients | Avg. Wait | Status |
|---|---|---|---|
| Emergency | 56 | 22 min | High Load |
| Cardiology | 32 | 18 min | Moderate |
| Neurology | 28 | 16 min | Moderate |
| Orthopedics | 21 | 20 min | High Load |
| General Medicine | 48 | 12 min | Normal |
Occupancy
| Ambulance ID | Status | Location | ETA | To |
|---|---|---|---|---|
| AMB-101 | En Route | MG Road | 8 min | City Hospital |
| AMB-102 | En Route | Panampilly Nagar | 12 min | Central Hospital |
| AMB-103 | Available | Hospital Campus | - | - |
Light Rain
Carry an umbrella
AI Patient Triage
Home › AI Triage › New Assessment
30 May 2024, Thu
John Mathew
32 Years, MalePatient ID: PT-1001
Critical
09:28 AM
Walk-in
Emergency
Nurse Elena
Vital Signs & Symptoms
Symptoms Map
Pain / Discomfort Normal
CRITICAL
Immediate attention required
⏱ Act within 0-10 minutesRisk Score
92%Very High Risk
Clinical Interpretation
The patient presents with signs and symptoms suggesting a potential cardiac event or respiratory compromise. Immediate medical evaluation and monitoring are strongly recommended.
Recommended Actions
✓ Immediate ECG
✓ Oxygen Therapy
✓ IV Access
○ Cardiac Enzyme Test
John Mathew, 32 M
ESI 1 - Critical
Anjali Kumar, 28 F
ESI 2 - High
Maria Joseph, 58 F
ESI 4 - Low
Emergency Queue
Real-time queue and waiting time predictions
30 May 2024, Thu
Administrator
| # | Patient | Age / Gender | Priority | Department | Queue | Current Wait | Predicted Wait AI | Status | Actions |
|---|---|---|---|---|---|---|---|---|---|
| 1 | JM John Mathew PT-1001 | 32 / Male | Critical | Emergency | 1 | 0 min | Immediate (0-5 min) | In Triage | ⋮ |
| 2 | AK Anjali Kumar PT-1002 | 28 / Female | High | Emergency | 2 | 12 min | 18 min | Waiting | ⋮ |
| 3 | RT Rahul Thomas PT-1003 | 45 / Male | High | Emergency | 3 | 18 min | 25 min | Waiting | ⋮ |
| 4 | MJ Maria Joseph PT-1004 | 58 / Female | Medium | General Medicine | 4 | 25 min | 35 min | Waiting | ⋮ |
| 5 | AN Arjun Nair PT-1005 | 29 / Male | Medium | Orthopedics | 5 | 28 min | 40 min | Waiting | ⋮ |
| 6 | DS Deepa Suresh | 36 / Female | Low | General Medicine | 6 | 38 min | 52 min | Waiting | ⋮ |
| 7 | VS Vishnu S. | 40 / Male | Low | Neurology | 7 | 42 min | 60 min | Waiting | ⋮ |
| 8 | PS Priya S. | 24 / Female | Low | Dermatology | 8 | 45 min | 65 min | Waiting | ⋮ |
| 9 | RK Rakesh K. | 50 / Male | Medium | Cardiology | 9 | 48 min | 67 min | Waiting | ⋮ |
| 10 | LG Linu George | 33 / Female | Low | ENT | 10 | 52 min | 75 min | Waiting | ⋮ |
Total
High patient influx expected
ICU Intelligence
Real-time ICU capacity, occupancy and predictions
30 May 2024, Thu
Administrator
High Occupancy
ICU occupancy is predicted to reach 95% within the next 2 hours.
| Time | Predicted Occupancy | Status |
|---|---|---|
| +30 mins | 88% | High |
| +1 hour | 91% | Critical |
| +2 hours | 95% | Critical |
| +4 hours | 93% | Critical |
| +6 hours | 90% | Critical |
| Bed ID | Status | Patient | Age / Gender | Primary Diagnosis | Since | Assigned Doctor |
|---|---|---|---|---|---|---|
| ICU-01 | Occupied | John Mathew | 32 / M | Acute Respiratory Failure | 2h 15m | Dr. Alan Roy |
| ICU-02 | Occupied | Anjali Kumar | 28 / F | Sepsis | 1h 45m | Dr. Nina Paul |
| ICU-03 | Occupied | Rahul Thomas | 45 / M | Cardiac Arrest | 3h 10m | Dr. Alan Roy |
| ICU-18 | Available | — | — | — | — | — |
| ICU-20 | Cleaning | — | — | — | 15m | — |
Total
Emergency Heat Map
Real-time view of hospital departments, patient load and emergency intensity
30 May 2024, Thu
Administrator
Department⌄Data Layer
Emergency Level⌄Time Range
Real-time⌄LowMediumHighCriticalFloor ViewCity View
ⓘ Heat map updates automatically every 30 seconds
Total Patients
AI Predictions & Alerts
AI-powered predictions to help hospitals act before problems become critical
30 May 2024, Thu
Administrator
within next 2 hours
High Confidence
Model performance is high. Predictions are based on real-time data and historical patterns.
Ambulance Intelligence
Real-time tracking, route optimization and ambulance availability
30 May 2024, Thu
Administrator
5 mins🚑 AMB-102
12 mins🚑 AMB-104
15 mins🚑 AMB-105
18 mins🚑 AMB-107
8 mins🚑 AMB-103
At Hospital
| Ambulance ID | Status | Driver | Current Location | Destination | ETA | Battery/Fuel | Actions |
|---|---|---|---|---|---|---|---|
| AMB-101 | En Route | Arun Nair | Vazhuthacaud Jn. | Central Hospital ER | 5 mins | ⛽ 78% | ◎ ⋮ |
| AMB-102 | En Route | Ramesh Kumar | MG Road, Kottayam | Central Hospital ER | 12 mins | ⛽ 62% | ◎ ⋮ |
| AMB-103 | At Hospital | Suresh Babu | Central Hospital ER | -- | -- | -- | ◎ ⋮ |
| AMB-104 | En Route | Vijay Menon | Pala Road | Central Hospital ER | 15 mins | ⛽ 54% | ◎ ⋮ |
| AMB-108 | Maintenance | -- | Depot - Kottayam | -- | -- | -- | ◎ ⋮ |
| AMB-102 | |
| Driver | Ramesh Kumar |
| Status | En Route to Hospital |
| Current Location | MG Road, Kottayam |
| ETA at Hospital | 12 mins |
Route Progress
Resource Allocation
AI-powered intelligent distribution and allocation of hospital resources
30 May 2024, Thu
Administrator
| Department | Doctors | Nurses | ICU Beds | Ventilators | General Beds | Status | Load |
|---|---|---|---|---|---|---|---|
| 🚨 Emergency Department | 6 / 10 | 12 / 20 | 2 / 4 | 2 / 5 | 10 / 20 | Critical | 95% |
| 🛏 ICU | 8 / 12 | 18 / 25 | 0 / 6 | 1 / 8 | 2 / 10 | Critical | 92% |
| ❤️ Cardiology | 6 / 8 | 10 / 15 | 0 / 3 | 1 / 4 | 6 / 15 | High | 78% |
| 🧠 Neurology | 4 / 6 | 8 / 12 | 0 / 2 | 1 / 3 | 5 / 10 | High | 74% |
| 🦴 Orthopedics | 4 / 6 | 8 / 12 | 0 / 1 | 0 / 2 | 8 / 15 | Medium | 58% |
| ✚ General Medicine | 6 / 8 | 12 / 16 | 0 / 2 | 1 / 2 | 15 / 25 | Medium | 46% |
Recommend 2 doctors and 4 nurses from General Medicine.
Reserve 1 ICU bed from Cardiology if possible.
Recommend shifting 1 ventilator from Neurology.
86%
2 more ICU beds requiredHigh Priority
4 more nurses requiredHigh Priority
1 more doctor recommendedMedium
Medicine Intelligence
AI-powered medicine inventory, demand forecasting and stockout prediction
30 May 2024, Thu
Administrator
| Medicine Name | Category | Current Stock | Avg. Daily Usage | Predicted Demand | Stockout Risk | Days Remaining | Reorder Point | Recommended Action |
|---|---|---|---|---|---|---|---|---|
| Midazolam (Midazolam Inj.) | Injection | 420 units | 112 | 760 | High | 3 days | 500 | Reorder Now |
| Ceftriaxone | Injection | 620 units | 95 | 665 | Medium | 6 days | 400 | Schedule Order |
| Paracetamol | Tablet | 2,850 tabs | 420 | 2,940 | Low | 12 days | 1,000 | Monitor |
| Salbutamol | Respiratory | 180 | 32 | 224 | High | 2 days | 200 | Reorder Now |
| Meropenem | Injection | 150 | 28 | 196 | High | 2 days | 150 | Reorder Now |
| Pantoprazole | Injection | 310 | 44 | 308 | Medium | 5 days | 250 | Schedule Order |
| NS 0.9% | IV Fluids | 1,250 | 180 | 1,260 | Low | 7 days | 800 | Monitor |
| Medicine | Avg. Daily Usage | Trend |
|---|---|---|
| Paracetamol Tablet | 420 units | ↑ 12% |
| Ceftriaxone Injection | 95 units | ↑ 8% |
| NS 0.9% | 180 bottles | ↑ 6% |
| Salbutamol Nebulizer | 32 units | ↑ 9% |
Stockout risk in 3 days
Stockout risk in 2 days
Stockout risk in 6 days
Total Items
AI model recommends reordering in the next 24 hours.
18%Potential stockout increase if action is delayed.
● Model Confidence: 91%Disease Analytics
Real-time disease monitoring, trend analysis and outbreak prediction
30 May 2024, Thu
Administrator
Total Cases 524
Active Cases 268
Trend ↑14.2%
Risk
Most Likely Outbreak
Dengue Fever
Expected in 2-3 weeksTotal Cases
Female 43.8%
AI Doctor Assistant Beta
Your intelligent clinical assistant for faster decisions and better patient care
30 May 2024, Thu
Administrator
Hello Dr. Sarah! 👋
I'm your AI clinical assistant. I can help you with:
● Patient condition analysis and insights
● Treatment recommendations and drug information
● Medical guidelines and clinical references
● Diagnosis support and risk assessment
09:39 AM ✓✓
● Outpatient (Mild)
Amoxicillin 1g TID OR Doxycycline 100mg BID
● Inpatient (Moderate)
Ceftriaxone 1-2g IV OD + Azithromycin 500mg IV/PO OD
● Severe (ICU)
Piperacillin-tazobactam 4.5g IV 6-8h + Azithromycin 500mg IV OD
ⓘ Note: Adjust based on local antibiogram, allergies, and renal function.
Drug interactions Lab interpretation Differential diagnosis Treatment guidelines Dose calculator
Ramesh Kumar
MRN: CH-24-56789 | Male, 58 YDiagnosis
Community Acquired Pneumonia