LifeLine AI is a comprehensive digital ecosystem designed to transform hospital operations from reactive to proactive. By leveraging machine learning, it forecasts patient admissions and resource requirements, allowing healthcare administrators to optimize capacity and staffing before surges occur.
Hospitals often struggle with ICU overcrowding, inefficient scheduling, and long wait times. LifeLine AI addresses these challenges with:
- 95% Prediction Accuracy: Foresee demand patterns based on historical data.
- Smart Staff Rostering: Dynamically align workforce availability with predicted patient loads.
- Real-time Analytics: A centralized command center for ICU, admissions, and resource tracking.
- Early Warning System: Automated alerts when demand is projected to exceed safe capacity.
- Framework: [Next.js 15]
- Language: [TypeScript]
- Styling: [Tailwind CSS]
- UI Components: [Radix UI]/[shadcn/ui]
- Icons: [Lucide React]
- Runtime: [Bun]
Check out the live version of the project here: (https://orchids-hospital-predictive-system.vercel.app/)
Follow these steps to set up the project on your local machine:
- Bun installed on your system.
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Clone the repository:
git clone <repository-url> cd Hospital-predictive-system
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Install dependencies:
bun install
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Run the development server:
bun dev
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Access the application: Open http://localhost:3000 in your browser.
- 30% Reduction in patient wait times.
- 25% Cost Savings through optimized resource allocation.
- Improved Staff Well-being by reducing burnout through better scheduling.