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https://github.com/deadly-panda/clinicapp

Django web application to help a medical clinic manage their appointments and assits doctors in their diagnosisis
https://github.com/deadly-panda/clinicapp

django keras python scikit-learn

Last synced: 3 months ago
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Django web application to help a medical clinic manage their appointments and assits doctors in their diagnosisis

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README 

        
# Medical Clinic managment and diagnosis assistance web application



This repository is an web application to help a medical clinic with  their day-to-day managment.

It gives the possibility  for a patient to make an appointment & view his documents (bills, prescriptions, ultrasound-images.etc).

It also helps the doctors both with their schedules and diagnosis.

Finally, it presents dashboards giving the admins insights about different & important aspects of managment.



It was made with **love** and **Django~=3.1**.



# Steps to run  the project.

- Clone the project : ``` git clone https://github.com/deadly-panda/clinicApp.git ```

- Go to the project directory

- Create a Virtual Environment : ``` python -m venv myVenv ```

- Activate the virtual environment : ``` source myVenv/bin/activate ```

- Install requirements : ``` pip install -r requirements.txt ```

- Migrate : ``` python3 manage.py migrate ```

- Run the project : ``` python3 manage.py runserver ```



- You can also create a superuser to have admin permissions : ``` python3 manage.py createsuperuser ```



# The Models

The image below shows the classes, in this case (Django case) the models, used in this web application.

One should mention the use of django-allauth, an integrated set of Django applications addressing authentication, registration, account management.





  The models

  

 



# Three types of users

# Patients

The patients can easly send an appointment request with the day & time they prefer & also the speciality of the doctor(general medecine, Ophthalmology..), view their prescriptions, bills & pay them, and most importantly have 24/7 access to their documents like x-ray 

shots or ultrasound images.





  The appointment request is pending : waiting for a doctor to confirm or cancel.

  

 





  Patient's documents

  

 





  Patient's bills

  

 



# Doctors

The doctors recieve view their schedules, appointments requests  & decide wether to accept or decline, a notifications is then sent to the patient asking for the

appointment. In addition they can manage their patients information, add prescriptions, bills & important documents.

The web application not only help with basic managment of the doctors schedules, but also helps with diagnosis. For now, it can help predict weather a patient might 

have a cardiovascular diseas from relational data like age, sexe & cholesterol level, Also, classify chest x-ray images as images with pneumonia or not.

Other machine learning &  deep learning models could be easly integrated with the web application.





  Appointment request

  

 





  Patient information & documents from the doctors side

  

 





  The empty calendar

  

 



# Admins

Admins have total access to the web application and all the information, they can add, modify or archive any entity like doctors, nurses, patients, prescriptions..etc.

They also have a simple yet elegant dashboard, giving them insight about diffrent aspects like the ratio of paid/unpaid bills, appointments state distribution, patient

sex distribution also information about insurrance companies & accounts..etc.