A high-load system designed for medical centers, enabling staff to manage patient records, request diagnostics, and process payments. Patients receive test results through SMS, email, or printed copies. The platform includes discount management, a loyalty program, and diagnostic bundles for specific conditions. It serves both patients scheduling tests and doctors issuing referrals while maintaining strict security measures for medical data.

The system simplifies pre-hospitalization by guiding patients through document submission, form completion, and electronic signatures. It includes two applications: one for patients managing their steps independently and another for hospital administrators to assist when needed. Key integrations include an external signature service, secure document storage, and push notifications. Future plans involve adding real-time access to test results.

A flexible platform connecting patients with specialists through video and online consultations. Its modular structure supports various mental health services, including treatment for anxiety, sleep disorders, addictions, and relationship challenges. Patients select doctors based on specialization and language. The platform offers real-time assessments, electronic prescriptions, and medical reports for insurance use. Data security and system compatibility are prioritized.

This mobile app enables men to track reproductive health and receive professional guidance, while a web interface allows doctors to access daily check-up data. Users log sleep, activity, diet, alcohol intake, and mood, receiving personalized insights. Appointments can be scheduled via chat or video consultations. Doctors can review patient history, issue prescriptions, and record follow-up notes, ensuring structured care and protected data handling.

A software concept for an innovative diabetes sensor that tracks blood sugar levels and calculates insulin dosage. As a first-of-its-kind project, it began with the development of a neural network that processes input data and refines its calculations when new models are introduced. Using a self-learning mechanism, the system improves accuracy through an adaptive feedback loop. A virtual patient model was created for testing, increasing monitored parameters over time to simulate real-world conditions.

Validating software for cardiac implants requires precision and in-depth understanding of medical interactions. Keeneo was responsible for functional testing of applications managing pacemakers and defibrillators, including data collection and stimulation algorithm adjustments. The project involved test documentation preparation, software validation, hardware compatibility checks, localization testing, and interface assessments. All work was conducted under FDA 21 CFR Part 11 regulations, with structured reporting and close collaboration with the client’s team.