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Full SaaS implementation of the advanced Radiology Consultation System with unique feature like hiding patient data in images (watermarking) and consultation summaries using NLP

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Hayat-Project/hayat_medical

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Hayat Hospital Management System

Background

Today’s medical diagnoses are a critical part of our patient experience, problems related to getting a diagnosis from multiple hospitals are documented as diagnosis history, for example, currently if a patient moves from one hospital to another, they need to describe the whole problem they are facing again to the new doctor while showing the radiological image and orally speak out what previous doctors diagnoses where. Furthermore, privacy breaches happen when an unauthorized entity accesses the printed or digital patient diagnosis of radiological images resulting in a risk of patient data misuse or exploitation.

Aim

Our project aims to revolutionize healthcare by creating a hospital management system that will implement techniques to securely incorporate patient medical records with radiological images. This will allow for integration between radiological images and patient records along with the ability to track medical diagnoses easily, with the goal of creating a secure and comprehensive healthcare system that facilitates better patient monitoring and diagnosis, ultimately creating a more efficient and secure hospital management system.

High level system architecture

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Building your environment

Requirements

To install

  • Node: v20.8.0

Dependencies (Included)

  • React: 18.2.0
  • Mantine (React UI framework): 7.1.7

Running your development environment

npm install first time run to install node modules from package.json

npm run dev for running the application in development mode

npm run build build for production

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Full SaaS implementation of the advanced Radiology Consultation System with unique feature like hiding patient data in images (watermarking) and consultation summaries using NLP

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