Cytolabs-Transforming Diagnostic Workflows
Industry
Healthcare
Project Type
Laboratory Information System (LIS)
Engagement
1 Year 6 months
Team
4
Challenge
The client, a leading cytology lab, required a streamlined and systematic way to organize, handle, and store patient data informatics. Their existing processes for managing diagnostic and therapeutic data were inefficient and prone to errors, particularly in tracking patient blood specimens and managing diagnostic workflows. They needed a Laboratory Information System (LIS) to handle complex patient data, improve documentation, and ensure the secure tracking of patient records throughout the diagnostic process. Akuton was hired to develop a robust, scalable solution that would address these challenges while integrating seamlessly with existing lab processes
Our Work and Results
Akuton Solutions developed a custom software platform tailored to meet the specific needs of the cytology lab. The system allows doctors and lab technicians to input and manage patient blood specimen data after analysis, ensuring accurate record-keeping and data tracking. The software was built using a Microservice architecture, enabling flexibility and scalability while facilitating communication between different services through an API gateway.
Technologies fueled by user experience
React
Redux
Redux saga
Node.JS
Spring Boot
Postgres
MongoDb
Elastis Search
React
Redux
Redux saga
Node.JS
Spring Boot
Postgres
MongoDb
Elastis Search
Payroll
Integrated payroll management for lab staff.
Patientinterface
You can quickly generate and refine innovative solutions that address your business needs and goals. You can quickly generate and refine innovative solutions that address your business needs and goals. A downside of working with legacy systems is a lack of uniform code updates and automated testing. Multiple generations of developers had made alterations at AP without clear controls regarding architecture, coding standards, and business rules.
UserRole
Role-based access control, ensuring that only authorized personnel can access sensitive information.
Achievment
The system dramatically improved the lab’s ability to manage and store patient data, ensuring regulatory compliance and reducing the time spent on manual documentation. The microservice architecture allows for easy scaling as the lab grows, while the contextual search via Elasticsearch improves the speed of retrieving records. The integration of real-time notifications, role-based access, and comprehensive reporting features further streamlined lab operations, enabling the lab to focus on providing high-quality diagnostic services without technical bottlenecks.
Key Features