medicalvalues Platform

The medicalvalues Platform is an integrated diagnostic intelligence solution designed for healthcare organisations, laboratories, and clinical data teams seeking to make sense of complex medical data. By combining artificial intelligence, validated diagnostic knowledge, and standard healthcare interfaces, the platform enables seamless data mapping, enrichment, analysis, and optimisation across a wide range of diagnostic use cases.

Built for B2B life sciences and healthcare environments, the platform supports use cases spanning diagnostic pathway management, laboratory intelligence, cross-sectoral care, telehealth, and integrated diagnostics. Its modular architecture allows organisations to adopt individual components or leverage the full platform as a unified foundation.

Core Components

• Diagnostic Medical Templates: Pre-built diagnostic template pathways covering medical areas including Endocrinology, Infectiology, Hemostaseology, Oncology, Rheumatology, Nephrology, and more. Templates are validated and reviewed by leading experts and can be used for data mapping, diagnostic data enrichment, and other platform applications.
• Statistical Diagnostic Engine: Facilitates diagnostic template content to bring intelligence to existing datasets. Uses advanced rule-based algorithms to process large datasets from a diagnostic perspective. Features white-box AI to deliver explainable outputs, and is customisable with laboratory-specific reference ranges or custom medical content created via the Diagnostic Pathway Editor.
• Artificial Intelligence Engine: Provides various AI modules to process input data directly from integrations. Incorporates built-in hybrid AI algorithms that combine existing medical template knowledge with organisation-specific datasets, alongside pre-defined healthcare data cleaning and analysis methods.
• Standard Interfaces and Integrations: Supports common healthcare standards including FHIR, HL7v2, REST, JSON, and XML. Offers standard integrations to various laboratory information systems (LIS/LIMS), enabling organisations to connect existing systems and begin productive use immediately. Incoming data is automatically pre-processed and analysed using medical content and standards.
• Medical Data Store: A safe, high-performance environment for combining and storing medical data, optimised for the structure and needs of medical datasets. Avoids vendor lock-in through standard formats and open APIs (HL7v2/FHIR). Supports intelligent data management with configurable data groups, retention policies, and customisable data flows. Use of the Medical Data Store is optional — existing infrastructure or on-demand processing can also be applied.

Platform Tools

• Diagnostic Data Mapper: Automates data mapping to medical standards such as LOINC and SNOMED CT. Provides an easy-to-use step-by-step process, allowing users to download finished mappings or use them directly within the platform. Benefits include machine readability and integrability of data, efficient AI-powered error detection, and risk-free data communication. Supports common formats like CSV and is seamlessly integrated with platform interfaces. Applies universal language systems for medical terminology to enable unification.
• Diagnostic Data Enrichment: Enriches medical data with validated diagnostic knowledge and identifies medical inconsistencies such as issues with units, reference ranges, and erroneous diagnoses in statistical datasets. Adds SNOMED CT, LOINC, ICD10, ICD11, and Radlex to data in an integrated way. Enables data cleaning for machine learning readiness, supports evidence-based management decisions, and ensures consistent data quality for cross-facility sharing and analysis. Supports HL7v2 and FHIR for data import, with standard integrations for laboratory and clinical information systems and support for custom technical modifications.
• Diagnostic Pathway Editor: A browser-based drag-and-drop tool for viewing, editing, and creating diagnostic medical template content and custom diagnostic pathways. Visualises links and interactions between symptoms, diseases, parameters, and more. Enables organisations to store, harmonise, and exchange diagnostic knowledge within and across organisations. Seamlessly integrated with statistical diagnostic reasoning and data enrichment components for direct analysis of pathways using existing datasets.
• Diagnostic AI Optimizer: Optimises existing and custom template pathways using artificial intelligence. Allows comparison of machine learning models with knowledge graph-based approaches, and accelerates machine learning projects through data cleaning, labelling, and medical feature engineering. Provides easy-to-understand visualisations to evaluate and compare results. Includes pre-built AI approaches such as random forest and linear regression, and is seamlessly integrated with all platform interfaces for iterative monitoring and optimisation across all use cases.

The medicalvalues Platform is deployed as an integrated solution supporting standard healthcare data formats and open APIs, ensuring interoperability with existing laboratory and clinical infrastructure. It is designed to connect the dots in clinical pathways with the goal of enabling improved patient outcomes.