medicalvalues platform
Make sense of your data facilitating diagnostic knowledge in a seamless integrated approach
Foundation
Core Components
The medicalvalues platform offers various core components
working together to create an integrated foundation for your use cases.
Diagnostic template pathways from various medical areas including: Endocrinology, Infectiology, Hemostaseology, Oncology, Rheumatology, Nephrology, and many more.
Usable as templates for e.g. data mapping, diagnostic data enrichment and other applications on the medicalvalues platform.
Validated and reviewed by leading experts (Learn more).
Facilitates diagnostic template content to bring intelligence to existing data sets.
Advanced rule-based algorithms to process large datasets from a diagnostic perspective. Our white-box AI enables explainable outputs.
Customizable with e.g. your laboratory reference ranges or custom medical content created with the Diagnostic Pathway Editor. View analysis results for output in an integrated way.
Various AI modules to process input data directly from integrations.
Built-in hybrid AI algorithms to combine existing knowledge from medical template content and your own datasets.
Pre-defined healthcare data cleaning and analysis methods.
Interfaces for common standards: FHIR, HL7v2, REST, JSON, XML.
Standard integrations to various laboratory information systems (LIS / LIMS). Connect your system and be productive from day one.
Automatically pre-process and analyze incoming data facilitating medical content and standards.
Combine and store your medical data in a safe and high-performance environment.
Optimized for the needs and structure of medical data. No lock-in through standard formats and open APIs (HL7v2 / FHIR).
Intelligent data management with different data groups (e.g. retention policies and customizable data-flows).
The use of the Medical Data Store is optional. Existing infrastructure or on-demand processing can be applied.
Tools
Available Platform Tools
The medicalvalues platform offers several pre-build tools to kickstart your data-driven use cases.
Map
Diagnostic Data Mapper
Automated data mapping for medical standards like LOINC or SNOMED CT
Easy-to-use step by step process – download your finished mapping or use it directly in the medicalvalues platform
Benefit from latest standard updates which can directly be adapted to your mapping
Enrich
Diagnostic Data Enrichment
Enrich your medical data with validated medical diagnostic knowledge
Identify medical inconsistencies: Detect issues with units, reference range and erroneous diagnoses in your statistical datasets
Add SNOMED CT, LOINC, ICD10, ICD11, Radlex to your data in an integrated way
Knowledge
Diagnostic Pathway Editor
View and edit diagnostic medical template content
Create your own diagnostic pathways as a basis for further use cases
Easy to use drag-and-drop user-interface to explore links and interactions between symptoms, diseases, parameters and more
Optimize
Diagnostic AI Optimizer
Optimize your own and existing template pathways using Artificial Intelligence
Compare existing machine learning models with knowledge graph-based approaches
Speed up machine learning projects through data cleaning, labeling and medical feature engineering
Blog Articles & News
Microbiology: AI in the Fight Against Germs?
Swab, bottle, or tube—what type of sample, at what time, with or without medium, and in which transport container, cooled or not—the challenges of microbiological diagnostics for clinicians and laboratories are vast. Errors or delays can often be life-threatening.
Gain an overview of how Artificial Intelligence (AI) is already contributing to faster and more efficient microbiological diagnostics.
Off-the-Shelf or Custom Software – Which Option Makes Sense for Clinics and Laboratories?
The IT landscape in healthcare faces numerous challenges, including growing complexity, evolving processes, and the need for regional networking. These demands can only partially be met with existing (often outdated) software, creating a need for new, modern solutions. This raises a recurring question: Off-the-shelf, custom, or a middle ground – which IT strategy is worth pursuing and when?
