Mediscreen is a Spring Boot web application with MSA (MicroService Architecure) that faciliates to connect microservices with the industry's most scalable and flexible API Platform through recent cross-cutting edge technologies.
- Provide a web app interface to users (Health centers & Private clinics) those who are interested in specialized information pertaining to detection of potential risk factors associated to diseases like diabetes.
- Provides reliable and up-to-date real-time information on the -Patients vulnerability_ to risk to diseases based on their individual medical track records using a predictive analysis approach with atmost accuracy.
It is available as a web interface both on PC & mobile platforms for Abernathy clinic users & will be made extended to all users of different Health centers and private clinics customized to their potential goals.
- Helps maintain accurate information record on the Patients;
- Provides enhanced Medical record management & maintenance capabilities with better UX (User experience) on using the web app user nterface.
- Provides reliable and up-to-date real-time information through Assessment Reports on their potential vulnerability to potential diseases based on the risk factors information persist on their medical record information.
To meet the predictable possiblility on the anticipated explosive growth potential among the user's client base in the health sector, the recent & modern cross-cutting edge technological integration in the architecture design has been implemented in this project to optimize performance for future high volume user demands.
- Java 11 JDK
- Gradle 7.3
- Docker (Scalability)
- Discovery services (High availability)
Mediscreen application is composed of primarily 3 microservices:
- Microservice: Patient
- Microservice: Notes
- Microservice: Assessment
- Microservice: ui
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- more complementary Microservices to enhance scalability & high availaibility features
gradle bootRun or ./gradle bootRun
gradle bootWar or ./gradle bootWar or ./gradle bootJar
Use the Dockerfile on the package roots containing individual 4 services to build docker images
SYNTAX:
docker build . -f Dockerfile -t imageNameToBeCreated
Use the DockerImage created above & run a Docker image using the command below
SYNTAX:
docker run -d -p HostPort:InternalAppPort --name dockerContainerNameToBeCreated -d DockerImageName
In case, if want to use an automated multi-container workflow with docker-compose, follow details below:
To deploy all Mediscreen microservices in a single go, use the docker-compose.yml on the package root containing all services that will orchestrate multiple containers wherein it will make it to work together based on the defined configuration in it. (Feel free to change the configuration settings for you required workflow)
SYNTAX:
docker-compose up -d
Gradle, Junit (Unit & Integration Tests).
SYNTAX:
gradlew test or ./gradlew test or gradlew clean test
Patient assessment - GET http://localhost:8080/assess/2
Patient assessment - GET http://localhost:4200/assess/3
Patient assessment - GET http://localhost:3000/assess/4
All endpoints are documented with POSTMAN and can be accessed launched with the below link to POSTMAN:
All SPRINT progress are documented with Notion.io and reported in the link below:
SPRINT progress documentation for this project
NOTION - Backlog Online - Link
All SPRINT Retrospectives are documented reported here in the link below:
SPRINT Retrospectives documentation for this project
SPRINT Retrospectives readme documentation for this project
All Tasks timeline progress are documented and reported here in the link below:
Tasks Timeline progress documentation
Mentee: @Senthil
Mentor: Clément SEZETTRE
Version: 1.0.0
For further reference, please consider the following sections:
The following guides illustrate how to use some features concretely:
These additional references should also help you:











