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# Zephyrus | ||
## 🏥 Overview | ||
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Zephyrus is an advanced analytics and optimization platform designed to transform operating room management across healthcare systems. By leveraging sophisticated data analysis and predictive modeling, ZephyrusOR helps healthcare providers maximize surgical capacity, improve resource utilization, and drive operational excellence. | ||
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## 🚀 Key Features | ||
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### Comprehensive Capacity Management | ||
- Real-time OR utilization tracking | ||
- Multi-site performance visualization | ||
- Capacity expansion insights without physical infrastructure changes | ||
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### Intelligent Block Scheduling | ||
- Granular service-level block time analysis | ||
- Automated reallocation recommendations | ||
- Surgeon-specific performance benchmarking | ||
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### Advanced Analytics Modules | ||
- Tandem Room Optimization | ||
- Inter-site Case Movement Modeling | ||
- Scheduling White Space Identification | ||
- Predictive Surgical Pipeline Forecasting | ||
Zephyrus is a comprehensive healthcare operations platform that provides real-time analytics and process improvement tools across multiple critical areas of hospital management. The platform integrates various workflows to optimize hospital operations, improve patient care, and enhance operational efficiency. | ||
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## 🚀 Key Workflows | ||
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### Emergency Department (ED) | ||
- Real-time ED operations monitoring | ||
- Patient tracking and triage management | ||
- ED-to-Inpatient conversion analytics | ||
- Resource utilization tracking | ||
- Waiting room management | ||
- Predictive alerts system | ||
- Department performance metrics | ||
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### Real Time Demand & Capacity (RTDC) | ||
- Hospital-wide capacity monitoring | ||
- Real-time alerts and statistics | ||
- Department-specific metrics | ||
- Bed capacity management | ||
- Staffing level tracking | ||
- Historical trends analysis | ||
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### Perioperative Management | ||
- Surgical services metrics | ||
- Operating room utilization | ||
- Case scheduling optimization | ||
- Resource allocation | ||
- Performance analytics | ||
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### Process Improvement | ||
- Patient satisfaction tracking | ||
- Care response time monitoring | ||
- Clinical outcomes measurement | ||
- Process intelligence tools | ||
- Chronic care management | ||
- Discharge process optimization | ||
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## 💡 Core Benefits | ||
- Increase surgical case volume | ||
- Reduce operational inefficiencies | ||
- Optimize resource allocation | ||
- Data-driven decision support | ||
- Enhance surgical team productivity | ||
- Real-time operational visibility | ||
- Predictive analytics and alerts | ||
- Enhanced patient flow management | ||
- Resource optimization | ||
- Cross-department coordination | ||
- Data-driven decision making | ||
- Quality of care improvement | ||
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## 🔧 Technical Architecture | ||
- Cloud-native platform | ||
- EHR System Agnostic | ||
- Scalable Microservices Architecture | ||
- Real-time Data Processing | ||
- Advanced Security Protocols | ||
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## 📊 Data Insights Provided | ||
- Prime Time Utilization Percentages | ||
- Non-Prime Time Usage Metrics | ||
- Average Case Duration Analysis | ||
- Surgeon Efficiency Scoring | ||
- Potential Capacity Expansion Opportunities | ||
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## 🔬 Specialty Coverage | ||
- Orthopedics | ||
- General Surgery | ||
- Urology | ||
- Gynecology | ||
- Cardiothoracic Surgery | ||
- And Many More... | ||
- Real-time data processing | ||
- EHR system integration | ||
- Advanced security protocols | ||
- Scalable microservices architecture | ||
- Modern web technologies | ||
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## 📊 Key Features | ||
- Real-time dashboards for each workflow | ||
- Customizable alerts and predictions | ||
- Department-specific analytics | ||
- Historical trend analysis | ||
- Process improvement tools | ||
- Performance benchmarking | ||
- Resource management | ||
- Patient flow tracking | ||
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## 🏥 Clinical Areas | ||
- Emergency Department | ||
- Operating Rooms | ||
- Inpatient Units | ||
- Critical Care | ||
- Medical/Surgical Units | ||
- Support Services | ||
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## 📦 Installation | ||
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### Prerequisites | ||
- Cloud Infrastructure (AWS/Azure/GCP) | ||
- EHR System Access | ||
- Minimum Data Warehouse Requirements | ||
- Node.js and npm | ||
- Database system | ||
- EHR system access | ||
- Required environment variables | ||
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### Quick Start | ||
```bash | ||
# Clone the repository | ||
git clone https://github.com/yourorg/zephyrusOR.git | ||
git clone https://github.com/acumenus/Zephyrus.git | ||
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# Install dependencies | ||
npm install zephyrus-or | ||
npm install | ||
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# Configure environment | ||
zephyrus config setup | ||
cp .env.example .env | ||
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# Launch platform | ||
zephyrus start | ||
# Launch application | ||
npm run dev | ||
``` | ||
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## 🔐 Security | ||
- HIPAA Compliant | ||
- End-to-End Encryption | ||
- Role-Based Access Control | ||
- Comprehensive Audit Logging | ||
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## 📈 Performance Metrics | ||
- Average Utilization Increase: 15-25% | ||
- Potential Case Volume Expansion: Up to 1000 cases/6 months | ||
- Scheduling Efficiency Improvement: 30-40% | ||
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## 🤝 Integration Partners | ||
- Epic Systems | ||
- Cerner | ||
- Allscripts | ||
- Custom EHR Solutions | ||
- Role-based access control | ||
- Data encryption | ||
- Audit logging | ||
- Secure API endpoints | ||
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## 📈 Performance Impact | ||
- Reduced ED wait times | ||
- Improved patient throughput | ||
- Enhanced resource utilization | ||
- Better clinical outcomes | ||
- Streamlined workflows | ||
- Increased staff efficiency | ||
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## 🤝 Integration | ||
- EHR Systems | ||
- Staffing Systems | ||
- Resource Management Tools | ||
- Analytics Platforms | ||
- Clinical Decision Support Systems | ||
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## 📞 Support | ||
- 24/7 Technical Support | ||
- Dedicated Implementation Team | ||
- Continuous Platform Updates | ||
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## 📄 Licensing | ||
Available in multiple tiers: | ||
- Community Edition | ||
- Professional Edition | ||
- Enterprise Edition | ||
- Technical documentation | ||
- Implementation guidance | ||
- Regular updates | ||
- Community support | ||
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## 📄 License | ||
[License details to be added] |
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<?php | ||
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namespace App\Http\Controllers; | ||
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use Illuminate\Http\Request; | ||
use Illuminate\Support\Facades\Log; | ||
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class RTDCController extends Controller | ||
{ | ||
/** | ||
* Update the Red Stretch Plan for a unit | ||
*/ | ||
public function updateRedStretchPlan(Request $request) | ||
{ | ||
$validated = $request->validate([ | ||
'unitId' => 'required|integer', | ||
'plan' => 'required|string|max:500' | ||
]); | ||
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try { | ||
// In a real app, this would update the database | ||
// For now, we'll just log it | ||
Log::info('Updating Red Stretch Plan', [ | ||
'unitId' => $validated['unitId'], | ||
'plan' => $validated['plan'] | ||
]); | ||
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return response()->json([ | ||
'message' => 'Red Stretch Plan updated successfully' | ||
]); | ||
} catch (\Exception $e) { | ||
Log::error('Error updating Red Stretch Plan', [ | ||
'error' => $e->getMessage(), | ||
'unitId' => $validated['unitId'] | ||
]); | ||
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return response()->json([ | ||
'message' => 'Failed to update Red Stretch Plan' | ||
], 500); | ||
} | ||
} | ||
} |
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