Metadata-Version: 2.3
Name: hospital-sim
Version: 0.0.3
Summary: HospitalSim - Swarms
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@swarms.world
Requires-Python: >=3.10,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: chromadb
Requires-Dist: loguru
Requires-Dist: pydantic
Requires-Dist: swarms
Project-URL: Documentation, https://github.com/The-Swarm-Corporation/HospitalSim
Project-URL: Homepage, https://github.com/The-Swarm-Corporation/HospitalSim
Project-URL: Repository, https://github.com/The-Swarm-Corporation/HospitalSim
Description-Content-Type: text/markdown


# HospitalSim

![BACK GROUND IMAGE](bg.jpg)

**Enterprise-Grade Hospital Management & Simulation System**

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## Overview

HospitalSim is a sophisticated multi-agent hospital management and simulation system designed to optimize healthcare operations through intelligent automation. This enterprise-grade solution provides comprehensive patient care simulation, electronic health records management, and operational analytics to improve hospital efficiency and patient outcomes.

## System Architecture Flow

```mermaid
flowchart TD
    A[Patient Arrives] --> B[Reception Check-in]
    B --> C[Patient Queue]
    C --> D{Triage Assessment}
    D --> E[Priority Scoring]
    E --> F{Emergency?}
    F -->|Yes| G[Emergency Doctor]
    F -->|No| H[General Doctor]
    G --> I[Consultation]
    H --> I[Consultation]
    I --> J[Diagnosis & Treatment Plan]
    J --> K[EHR Documentation]
    K --> L[Patient Discharge]
    
    M[Executive Team] --> N[Strategic Meetings]
    N --> O[Hospital Operations]
    O --> P[Performance Analytics]
    P --> Q[Resource Optimization]
    
    R[ChromaDB EHR] --> S[Patient History]
    S --> I
    R --> T[Similar Cases]
    T --> I
    
    U[AI Agents] --> B
    U --> D
    U --> G
    U --> H
    U --> M

```


## Install

```bash
pip3 install -U hospital-sim
```

## Usage

```python
from hospital_sim.main import HospitalSimulation
from dotenv import load_dotenv

load_dotenv()

# Create hospital
hospital = HospitalSimulation("City General Hospital")

# Generate initial patients
hospital.generate_patients(3)

# Run short simulation
hospital.run_simulation(
    duration_minutes=10, patient_arrival_rate=0.1
)
```


### Key Features

| Feature Category            | Description |
|----------------------------|-------------|
| **Executive Team**          | CEO, CFO, and CMO agents for strategic decision-making |
| **Medical Staff**           | Specialized doctors (Emergency Medicine, General Practice) with domain expertise |
| **Nursing Team**            | Triage and floor nurses for comprehensive patient care |
| **Administrative Staff**    | Receptionists for patient check-in and queue management |
| **Intelligent Priority Scoring** | Dynamic patient triage based on symptoms and vital signs |
| **Queue Optimization**      | Priority-based patient queue with estimated wait times |
| **Real-time Status Tracking** | Complete patient journey monitoring |
| **Multi-step Care Pipeline** | Reception → Triage → Consultation → Treatment → Documentation |
| **ChromaDB Integration**    | Advanced RAG (Retrieval-Augmented Generation) system for medical records |
| **Historical Data Access**  | Comprehensive patient history retrieval and analysis |
| **Similar Case Matching**   | AI-powered similarity search for diagnostic support |
| **Persistent Storage**      | Reliable data persistence with fallback mechanisms |
| **Performance Analytics**   | Real-time metrics on patient throughput, wait times, and satisfaction |
| **Financial Modeling**      | Revenue and cost analysis with profit optimization |
| **Executive Decision Making** | Automated strategic planning through executive team collaboration |
| **Quality Assurance**       | Continuous monitoring of care quality and staff performance |

## Citation

If you use HospitalSim in your research or projects, please cite our work:

```bibtex
@software{hospitalsim2025,
  title={HospitalSim: Enterprise-Grade Hospital Management \& Simulation System},
  author={The Swarm Corporation},
  year={2025},
  url={https://github.com/The-Swarm-Corporation/HospitalSim},
  license={MIT}
}
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

```
MIT License

Copyright (c) 2025 The Swarm Corporation

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```

