LAMPseq backend
upgrade: increasing blood test capacity by 1150%
With Applandeo’s support, Lampseq, a top blood diagnostic platform, now provides secure data processing and GDPR compliance, managing thousands of samples and ensuring quick, accurate results.
About the client
Lampseq is a leading medical company that delivers custom healthcare solutions tailored to the needs of the healthcare software industry.
They specialize in fast and reliable blood diagnostics and offer innovative testing methods for various diseases, including SARS -> COVID-19, sexually transmitted infections (STI) panels, and common cold-related diseases such as SARS-CoV-2, Flu A, Flu B, and RSV.
Name
LAMPseq Diagnostics GmbH
Location
Germany
Services
Software Development
The challenge
Future-Proofing Diagnostic Infrastructure
Despite its market success, Lampseq needed infrastructure upgrades to continue growing. The center of the attention for the client was to replace the old backed database with a new safe, redundant, and scalable solution to provide flawless operation and prepare for the new UI interface planned to be implemented in the later project phases.
The main goals of the project focused on:
Exchanging current database
To be able to process large amounts of diagnostic data simultaneously with no fear of performance issues or lack of scalability.
Improving security
To assure that all clients’ sensitive data are 100% safe when samples are being processed and that the sensitive information should never be implicitly trusted to any one party, including servers, databases, or internal staff members.
Upgrading the infrastructure
To ensure scalability and flexibility needed to adapt to changing business requirements and growth.
That’s why our client decided to choose a reliable technology partner to prepare their business for the future of the healthcare industry. And that’s when Applandeo stepped in.
Biggest challenge? Finding the right approach and developing the necessary custom software to help a scientifically rooted medical company enter the commercial world.
From Challenge to Solution: Ensuring Future-Proof Success for Lampseq with Agile Methodology
To maintain smooth workflow and quality, we established an Agile project management framework. It helped us monitor daily tasks and deliver work on time. The framework included essential meetings like planning, daily check-ins, demos, and retrospectives to keep everything on track. Additionally, the iterative approach enabled the client to quickly respond to any changes during execution.
Get in touch to discover how our Agile approach can help you reach your goals today!
While working with Applandeo, we experienced high-quality project management, so the project was launched quickly, and we were kept informed of the progress throughout the entire process.
Solutions delivered
Understanding our client’s needs was key to delivering optimal results. Here’s what we decided to do to ensure their success in the medical market both now and in light of future changes and requirements:
New Scalable Database
We chose PostgreSQL, a trusted, open-source database system that excels in managing large amounts of data, for its dependability and ability to handle complex queries. We designed the database schema to store encrypted data, ensuring the security of sensitive information, and built the architecture to manage large data volumes efficiently and securely.
We used Apache Kafka, a real-time logbook for all data changes, as a replay log for event sourcing, ensuring all data changes were logged and could be replayed if needed, providing a reliable mechanism for data integrity and recovery.
GDPR Compliance
We added GDPR compliance to existing applications for laboratories, patients, and manufacturing units with a focus on user experience and security. The features included secure login, encrypted data entry forms, and integration with backend services.
Multi-Factor Authentication (MFA)
To further improve security, we implemented Multi-Factor Authentication (MFA). It requires users to provide two or more verification factors to gain access to the system, adding an extra layer of protection.
Trust No One Strategy
To protect data, we used client-side encryption, so data entered by users was secured on their devices before being sent to the database. This guaranteed that even if the system was compromised, the data would remain safe.
Applandeo team focused on building a secure, scalable infrastructure and implementing the latest data protection standards, such as MFA and encryption. We needed to ensure both security and system flexibility for the future.
Key outcomes
Realization Time: From 2,000 up to 25,000 Samples Daily
Outcome
The introduction of a new scalable database greatly reduced diagnostic processing time. Previously, the maximum capacity was around 2,000 samples per day during the pandemic, while in a typical qPCR lab in 2021, the maximum was 700 samples with 10 machines and two shifts.
As a result, Lampseq can now handle 25,000 sample kits per day (with 1150% growth positioning them as a leader in blood diagnostics.
Benefit
The new system allows for handling a high volume of samples daily, giving our client a strong competitive advantage in the medical diagnostics market.
Preventing Personal Data Leaks
Outcome
The “Trust No One” strategy was implemented to make sure that personal data is only accessible to authorized Lampseq staff. This approach assures that sensitive patient data is kept secure and not shared outside the laboratory.
Benefit
The approach guarantees that personal data remains protected and only accessible to those who are authorized, providing privacy and security for patients.
Solid Basis for New User Interface Development
Outcome
By replacing the old database with a new scalable solution, Lampseq has created a strong base for developing a more user-friendly interface. This update will make diagnostic processes more efficient across various facilities and speed up the sample diagnosis nationwide.
Benefit
The updated database provides a solid foundation for creating an easy-to-use interface, which will improve the workflow in diagnostic labs across the country.
Better Understanding of System Requirements
Outcome
Thanks to the iterative approach taken during the project, the client gained a clearer understanding of the system’s needs and custom software development process. This helped refine the future platform requirements and provided a clearer vision of what the new user interface could look like.
Benefit
The iterative approach allowed the client to adjust the system requirements and plan for future updates more effectively.
Applandeo quickly set up our project and managed every stage smoothly. Everything went according to plan, without delays.
This allowed us to focus on other areas of our business. Working with Applandeo was fantastic thanks to their direct communication and fast response time. They were always available to provide updates and address any concerns quickly, which made the project flow smoothly.
Project organization
Daily work
Throughout the project, the client had real-time insight into the changes, ensuring a clear understanding of each development stage.
Regular demo sessions and Agile project management enabled quick feedback loops, so they could easily track progress and make informed decisions.
By adjusting technical language during presentations, we made certain that all backend development modifications were fully comprehensible, even without direct UI changes. This transparency helped align expectations and refine the system’s requirements effectively.
From the early stages of the project, all tasks were tracked in Jira, with sprints organized in two-week intervals and demo sessions held at the end of each.
Project team
We decided to form the following project team to accomplish our client’s goals:
1x
Lead Backend Developer
1x
Tech Lead
1x
Project Manager
1x
DevOps Engineer
Summary
The implementation brought significant improvements in efficiency, security, and usability, creating a strong foundation for Lampseq’s future growth in the diagnostics industry.
After finalizing the project, we achieved all the client’s goals, introducing the backend architecture to the expected level of operation and preparing it for the next phase of the new front-end development.
Processing from 2,000 up to 25,000 samples per day
The optimized sample processing allows Lampseq to handle up to 25,000 samples per day (while at the beginning it was only over 2000), significantly increasing operational efficiency. Faster processing enables laboratories to complete more tests in less time, boosting productivity and revenue. With better production capacity, the company can meet the growing demand for its services.
Secure system protecting patient data
The new solution ensures full GDPR compliance, guaranteeing the protection of patient data. Advanced encryption and security technologies improve the company’s reliability and build user trust, which is critical in the healthcare industry. This reduces the risk of data breaches and strengthens Lampseq’s reputation as a trustworthy diagnostics provider.
Scalable system for future growth
The new infrastructure is flexible and ready for growth, helping Lampseq adapt to market needs. A better database and faster system allow new features and user interfaces, bringing in more customers. The system’s scalability opens the door for future growth and long-term competitive advantage.
Lampseq is now ready to handle growing demand, protect sensitive data, and expand into new markets. With these improvements, the company is positioned for long-term growth and success in the diagnostic testing industry.
Looking to process data faster, scale your operations, or improve security?
Contact us to see how we can help you optimize your infrastructure—just like we did for Lampseq.
Protecting your privacy is important to us, so if you would like to know more regarding how we process your personal data, please check our detailed Privacy Policy.
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Protecting your privacy is important to us, so if you would like to know more regarding how we process your personal data, please check our detailed Privacy Policy.
