Diagnostic Intelligence

Diagnostic Intelligence by medicalvalues is an MDR-certified (Class IIa medical device under EU Regulation 2017/745) AI-powered diagnostic decision support system designed for use in both outpatient and inpatient settings. It brings state-of-the-art technology to general practices, clinics, and laboratories, enabling medical professionals to make quick, reliable, and data-driven diagnostic decisions — even for complex clinical scenarios. The platform covers over 750 diseases and is built to improve patient outcomes through more efficient, standardised, and personalised diagnostics.

At its core, Diagnostic Intelligence performs real-time analysis of patient data, automatically identifying abnormal values, suspected diagnoses, and recommendations for further clarification. These findings are translated into actionable insights and presented via a clear dashboard, allowing clinicians to derive and implement measures — such as requesting additional laboratory parameters — directly from the data obtained. The system combines medical knowledge from research and clinical guidelines with individual hospital SOPs and real patient data to deliver patient-specific decision support powered by AI.

Key Capabilities

• Broad disease coverage: Comprehensive analysis across more than 750 diseases
• Real-time patient data analysis: Automatic identification of abnormal values, suspected diagnoses, and clarification recommendations
• Patient-specific decision support: AI-driven analysis of medical correlations personalised based on individual patient data including age, gender, and pre-existing conditions
• Insights dashboard: Findings and recommendations for action are clearly presented in an action-oriented interface
• Standardisation of diagnostic processes: Medically validated diagnostic pathways ensure guideline-based, line-appropriate diagnostics from day one
• Interdisciplinary assessment: Integrated, cross-departmental view of patient data spanning specialties such as endocrinology, rheumatology, and oncology

Use Cases by Setting

• General Practices and Clinics: Routines and insights for standardised, guideline-based processes; diagnostic support in the context of individual patient situations; expansion of standard content through hospital guidelines and SOPs; cross-departmental analyses
• Laboratories: Laboratory orders guided by patient symptoms and diagnostic hypotheses; continuous integration of medical knowledge to enhance diagnostic outcomes; seamless integration of diagnostic AI via API into existing systems; modern FHIR-based interface for interoperable access to diagnostic algorithms

Medical Value for Clinicians

• Relief for doctors through intelligent, step-by-step diagnostic suggestions personalised to individual patient profiles
• Improved and faster diagnostic processes through standardisation and reduction of unnecessary diagnostic procedures
• Productivity from day one thanks to medically validated diagnostic pathways
• Active decision support throughout the clinical workflow
• A broader, interdisciplinary view of patient data for more comprehensive assessments

Technical Advantages

• Low-cost integration into existing IT infrastructure via direct connection to communication servers and use of existing interfaces
• Fast implementation thanks to a modular structure and iterative approach adaptable to local conditions
• Flexible UI/UX adaptation — use the medicalvalues interface or integrate into existing interfaces according to your own processes and requirements
• Highest IT security standards to protect sensitive patient data
• Data standardisation and harmonisation support via the semi-automated medicalvalues Diagnostic Data Mapper, making data usable for downstream purposes

Diagnostic Intelligence is deployed as a scalable solution that includes ongoing maintenance, optimisation, and anonymisation to ensure stable and secure operation. Its FHIR-based interoperability and API-driven architecture make it well-suited for integration into existing healthcare IT ecosystems across both primary and secondary care environments.