Diagnostic Pathway Management and Data Enrichment
Gain a deep understanding of your diagnostic data sets and enrich them for higher quality diagnostic algorithms
Simplified feature engineering
Use our mapping tools and quickly evaluate, whether your medical datasets can fulfill the needs for diagnostic analytics – in terms of completeness and complexity. Uncover potential biases e.g. related to gender or age.
Gain an understanding of potential diagnosis within your dataset and check for errors and potential diagnostic optimization. Enrich your dataset based on our GMP-based algorithms – especially in the area of laboratory diagnostics.
Diagnostic Pathway optimization
Leverage historic, clinical datasets to uncover areas for improvement in diagnostic procedures. Discover medical sub-groups and explore risk factors. Combine medical and economical datasets for optimal healthcare outcomes and efficient diagnostic pathway management.
Clinical Trials and Medical Research
Leverage the medicalvalues platform to become more agile and data-driven in your clinical data collection and research activities.
Plan your research
Quickly research relevant symptoms, parameters and potential side-effects to plan your study effectively.
Harmonization of findings
Ensure your data points follow a standardized interpretation to ensure comparability.
Real-time preliminary analysis
Get an AI-generated, initial diagnostic recommendation to quickly process large data volumes.
Diagnostic Pathway Management and Analytics
Pre-built diagnostic pathway templates enable you to get results from day one. Use our pathways as a solid base and customize them for your individual projects.
Analyze historic data sets
Understand patterns and uncover potential areas for diagnostic savings without compromising on quality.
Run what-if scenarios
Compare your diagnostic steps to good medical practice and latest research to analyze potential differences and uncover areas for improvement.
Structure and visualize your diagnostic pathways and get a headstart with templates from the medicalvalues library.
Machine Learning and Artificial Intelligence
Re-use pre-built integrations into clinical and laboratory systems leveraging standard interfaces like FHIR to integrate your ML-landscape more efficiently.
Data Mapping and Harmonization
Leverage our platform tools to harmonize your datasets and map them to international standards like SNOMED CT and LOINC.
Data cleaning and feature engineering
Quickly identify errors in your datasets and get an understanding of potential bias.
Data enrichment and algorithmic performance
Leverage our pre-built algorithms to (pre-) label your data or compare your algorithms against the GMP-based results.
Get started on the medicalvalues platform in 10 minutes
- Map & Normalize your datasets to leading international standards like SNOMED CT and LOINC
- Analyze & Enrich your data with diagnostics insights to kickstart or improve your AI applications and research
- Derive actionable insights in seconds and leverage our diagnostic algorithms to support your medical team or create your own solutions
Blog Articles & News
In the world of laboratory medicine – a digital pioneer in the healthcare sector – a dynamic development is emerging. We have identified key trends in the order entry market that are of particular importance in German-speaking countries for 2024.
Optimising clinical processes: Improving diagnosis and reducing the workload in the clinic with laboratory diagnostics
The economic pressure on hospitals in Germany has increased in recent years, leading to a situation in which medical care is in many cases no longer focused solely on the interests of the patient. In an interview in December 2022, the German Federal Minister of Health, Karl Lauterbach, stated: “Today, no hospital can afford to focus solely on medical care.” In order to manage the conflicts of interest between business and health care, it is not sufficient to focus only on those departments that have a comparatively high financial return. Instead, a targeted analysis is needed, which can be used to optimise clinical processes to improve patient care. Targeted and early diagnosis, supported in particular by laboratories, is therefore a key factor. Innovative ideas and technologies can increase the efficiency and effectiveness of these processes.