Our customer is an independent clinical laboratory with over 50 years of experience in delivering medical testing services. They provide classical clinical diagnostics and microbiology services to identify infectious diseases and conduct genetic testing. Detailed information about the client cannot be disclosed under the provisions of the NDA.
The concept of drive-in IoT technology in healthcare was inspired by the effective large-scale testing implemented during the COVID-19 pandemic, allowing patients to take medical tests without leaving their cars.
Our client provides this type of drive-in services across European cities, partnering with clinics to offer patients a variety of medical tests and analyses. Before getting tested, patients must get in line, provide their personal information, insurance details, and prescriptions.
Despite the efficient drive-in model provided by the client, long queues, nurses’ verification of documents, and the need to manually label medical containers with samples still hampered the testing process.
The client lacked a centralized system that could provide quick access to laboratory addresses, appointment scheduling, patient documentation, and a synchronized system for collecting and monitoring tests efficiently.
The development process for IoT healthcare solutions encompassed a series of well-planned phases. Following the Scrum methodology throughout the project, our team worked in iterative sprints and continuously collaborated with the client via Webex messenger platform for regular chats and calls at each development stage.
During this stage, our team engaged in in-depth discussions with stakeholders, including potential end-users such as patients and clinicians, to gather detailed requirements and understand their needs while drive-in testing.
Our experts used design and prototyping tools Figma and Adobe XD create visual representations of the apps to demonstrate the user interface and user experience.
The foundation of the application’s architecture was established on serverless principles, which guarantees scalability and reduced infrastructure management. Our team crafted the back-end service using Java Spring Boot for its robustness and seamless integration with AWS services. By adopting AWS Lambda, we ensured that each function could be independently deployed and executed, enabling request handling with minimal resource wastage.
To address the data storage requirements, we opted for DynamoDB with low-latency access and automatic scaling. DynamoDB’s schemaless design is particularly advantageous in healthcare applications, where data formats can vary. To facilitate easy communication between the back-end and front-end, we created API endpoints using API Gateway.
When developing the applications for patients, our technology stack revolved around React, Redux, and Redux Toolkit, enabling us to efficiently update the application state. The use of Material-UI (MUI) and styled components allowed for the creation of a consistent user interface, ensuring a smooth user experience.
To solve auxiliary tasks, we leveraged various libraries, such as integrating with Google Analytics for user behavior analysis, converting images to PDF for document handling, and validating insurance and phone numbers for data integrity. We implemented QR-code generation functionality using suitable libraries to streamline appointment confirmation.
For fine-grained access control and security, we implemented strict IAM roles and permissions, along with multi-factor authentication. Additionally, we applied data encryption to safeguard data at rest and in transit and integrated automated security checks into the CI/CD pipelines, while conducting regular code reviews and security testing to prevent vulnerabilities.
For efficient deployment, we utilized the features of CDK TS (Cloud Development Kit for TypeScript). CDK TS allowed us to define our AWS infrastructure in code, streamlining the deployment process and enabling infrastructure as code. Additionally, we added Jenkins pipelines to the development workflow, ensuring continuous integration and collaboration among team members.
After the successful deployment, we set up monitoring and analytics tools from AWS to gain insights into application performance and user behavior. Our team provided ongoing maintenance and support to address any post-launch issues promptly.
The IoT solution developed by Innowise Group has automated the testing process for patients and nurses, enabling them to select the type of analysis, schedule a test, and receive a personalized QR code for the appointment. Drive-in laboratories allow nurses to quickly access and verify patient data by scanning the QR code, allowing efficient tracking and transmission of test results. One of the most significant achievements of IoT technology in healthcare has been the substantial reduction in the time and effort required to administer and collect medical tests, enabling staff to focus on delivering patient care. Given the fast-paced and time-sensitive nature of the healthcare industry, this benefit holds paramount importance for ensuring fast healthcare delivery. This project is a vivid illustrative example of IoT in the medical field, which significantly speeds up medical processes and allows to help more patients in a shorter time.
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