LogiqSuite is a medical data management platform consisting of three interoperable and configurable cloud-based systems: LogiqCare, LogiqScience and LogiqAnalytics. Both LogiqCare and LogiqScience facilitate structured data collection -distinguishing between identifiable patients and pseudonymous subjects-allowing seamless collaboration between care and research. In LogiqAnalytics, the platform provides real-time and de-identified data to empower advanced analytics, enabling efficient availability of healthcare data for medical data science. A scientific paper describing the use of LogiqSuite in various use cases of precision medicine has been published.
Healthcare professionals benefit from standard functionalities such as patient case management and test requests. LogiqCare empowers care professionals to meticulously record patient data for diagnosis and treatment while analyzing results. Furthermore, the platform integrates third-party applications and Clinical Decision Support Systems, enhancing diagnostic and patient management processes.
“LogiqSuite is a medical data management system that can serve as a valuable tool to evaluate data for both research and clinical care.Our goal is to differentially analyze the complex data to determine which parameters are associated with outcomes for different patient subsets. This way, we can improve and further personalize prognosis, diagnosis, and treatment.”

1. LogiqCare focuses on patient data management within a healthcare setting, utilizing the Patient-Case structure. It supports the real-time collection and structured storage of clinical care data, facilitating collaboration among healthcare providers from various institutions.
2. LogiqScience is designed for research, accommodating the entry of clinical and laboratory data using pseudonymous subjects. It functions as an electronic case-report form (eCRF) for registries, cohorts, and clinical studies. Additionally, it is empowered with electronic patient reported outcome (ePRO) functionality. LogiqScience offers the ability to set-up a custom data model and import and standardize existing datasets for advanced analysis, as required.
3. Case: within LogiqSuite, a Case represents a focal point for data collection, often related to a patient’s disease or study visit. It contains all related inputs from healthcare providers, lab tests, patient feedback (ePRO), and/or device data. The case also facilitates collaboration between physicians from different medical disciplines or organizations, both in care and research projects.
4. LogiqAnalytics is a separate SQL database consisting of de-identified and privacy-unenriched data, synced in real-time from LogiqCare and LogiqScience. It facilitates medical data science, descriptive statistics and AI-research. We offer seamless integration with fully customizable PowerBI reports, for monitoring and evaluation of key-performance indicators. Robust access control on the LogiqAnalytics database, empowers secure collaboration through controlled sharing of data subsets when required.
5. Medical math deals with the development, application, and integration of new mathematical solutions into medicine, such as results from research using LogiqAnalytics. These methods include medical insights combined with survival analysis with competing risks (Fine-Gray),imputation for missing data in survival analysis, machine learning for parameter selection in survival analysis, and explainable artificial intelligence (XAI) of clinical decision support like diagnostic predictions.
6. Clinical Decision Support Systems (CDSS) implement validated prediction models as Software as a Medical Device (SaMD) to facilitate personalized medicine in clinical practice. For example U-Prevent, for risk management and prevention of (cardio)vascular diseases. Our CDSS solutions are built according to MDR compliant processes and, if applicable, MDR-certified. A CDSS solution can be integrated into LogiqSuite, to prefill with available clinical data and save real-word outcomes. By combining both platforms, we drive healthcare innovation through Continual learning and improvement
7. Third Party apps: LogiqSuite’s open API allows seamless integration with third-party solutions, including machine-2-machine communication, import of external data sources, clinical decision support systems, as well as wearables or other devices that collect personal health data.
“To the researcher, LogiqScience offers high-quality data for clinical studies. Healthcare professionals can use various standard functionalities, such as test requests and subject-case management. In addition, they can use connected solutions (including third-party solutions), such as for Clinical Decision Support.”
LogiqSuite consists of LogiqCare, LogiqScience and LogiqAnalytics as medical data management systems, compliant with strict privacy and security regulations regarding managing patient data and certified for clinical data registration according to ISO27001, NEN7510, 7512, 7513. The LogiqSuite platform is hosted in Microsoft Azure in the European Economic Area (EEA) with GDPR and medical data constraints. Data manipulations are recorded in audit trails, user activities are monitored and logged, and data entries can be signed off.
Cases are completed with data from Consultations (e.g. direct observations or questionaries sent to patients) and two- or three-layered Test cascades for structured follow-up (e.g. for analysis performed at another department). The data templates are customizable and include conditional logic, input validation rules, and calculations to accommodate the requirements of a specific application.
Access control is regulated by roles (e.g. viewer, editor, administrator) and attributes (e.g. department, science, care).
Data models are defined and validated by key users or data managers and implemented and maintained by ORTEC Logiqcare. LogiqSuite is a multilingual application, allowing users and patients to work in their preferred language.
Architecture, Security and System Requirements are explained in this LogiqSuite document.
With LogiqSuite we strive for FAIR (Findable, Accessible, Interoperable & Reusable)data. Each parameter could be connected to multiple data dictionaries to communicate with the different (inter)national standards of data communication. The open API allows data exchange. Combined with professional data stewardship, this allows for organizing a sustainable data cohort to be used over a long period of time. Real-time syncing of data to LogiqAnalytics enables the possibility of Continual Learning and Improvement of healthcare and clinical decision support systems.