PharmaTrace

Features

• Data-driven Prediction: Boosts the performance of the disease classification process reducing human error, thus saving lives.
  
• Automatic learning: Machine learning empowers systems to learn and improve from real time experience.
  
• Blockchain Technology: Ensures enhanced accuracy and supervision of data, as well as improved operational efficiency and secure access.
  
• Prediction Analysis and Predictive Models: Increases the likelihood of early disease detection, hence reducing costs and saving lives.
  
• Real-Time Tracking: Offers real-time inventory requirements and tracking.
  

Use Cases:

• Chronic Disease Detection and Management: Early detection of various chronic diseases reduces healthcare costs and enhance budget forecasts.
  
• Healthcare Ecosystem: Improves the overall healthcare ecosystem, aiding medical centers and healthcare providers with data-integrated models for efficient decision making.
  
• Supply Chain Management: Uses AI/ML to monitor the supply chain and make proactive, data-driven decisions to save hospitals millions in spending.
  

By integrating the power of artificial intelligence, machine learning, and blockchain technology, Pharmatrace seeks to revolutionize chronic disease detection and management, as well as healthcare supply chain processes, with a singular aim of improving health outcomes while reducing costs.