From funding to practice with medicalvalues: Transforming clinics. Connecting care. Rethinking diagnostics.

medicalvalues as an innovation partner in the transformation process

The transformation that KHTF is addressing is not a classic IT modernization project. Instead, what is required are structural, medically-sound, and sustainable changes that improve care, relieve resources, and are resilient to regulatory changes. This is exactly where medicalvalues comes in.

Transformation begins with diagnostics

Diagnostics is the common denominator in almost all clinical processes—from admission and treatment decisions to discharge and outpatient follow-up care. It is one of the areas where digitization, standardization, and AI can deliver the greatest immediate benefits. medicalvalues focuses precisely on this lever.

Our solutions are designed to combine clinical reality with strategic transformation goals: structured rather than fragmented, evidence-based rather than purely documentary, interoperable rather than isolated.

This not only makes diagnostic processes more efficient, but also provides key building blocks for new care models, as explicitly promoted within the framework of the KHTF.

More than just software: an implementation and transformation partner

medicalvalues is not merely a pure software provider, but rather an innovation and implementation partner for hospitals. We accompany projects from conception to everyday care. Specifically:

• KHTF-compliant project logic: Our use cases demonstrably address transformation (e.g., centralization, specialization, outpatient care, networking).

• Regulatory compliance: MDR-compliant medical devices, validated AI modules, and established QMS/ISMS structures

• Designed for interoperability: HL7, FHIR, LOINC, and others are not buzzwords, but rather the basis for cross-sector care.

• Medically guided: Content, decision-making logic, and use cases are developed in collaboration with clinics, laboratories, and medical experts.

A bridge between laboratories, clinics, and cross-sector care

A key objective of the Hospital Transformation Fund is to break down sectoral silos. This is precisely where diagnostic platforms demonstrate their added value: laboratories, clinics, outpatient care, and aftercare can be linked via shared data and decision-making platforms.

medicalvalues builds this bridge through intelligent laboratory order entry systems, AI-supported decision support in everyday clinical practice, and structured report preparation that can be used in both inpatient and outpatient settings.

In the next step, we will show how these principles can be applied in practice within the framework of the KHTF using practical use cases:

• In the laboratory as a lever for standardization, quality assurance, and cross-location collaboration.

• In the clinic as a basis for more efficient patient management, specialization, and cross-sector care concepts.

These examples illustrate how transformation with medicalvalues is not abstract, but rather feasible, implementable, and effective.

Funding opportunities in the laboratory context – opportunities for diagnostics and laboratory infrastructure

Many KHTGV funding titles can be implemented directly and effectively in the laboratory environment and address key KHTF objectives such as digitization, collaboration, and interoperability:

• Cross-location concentration through the establishment of a central laboratory with an omni-channel approach for the comprehensive use of laboratory capacities and expertise. Central master data management and consistent order entry create transparency and efficiency, while laboratory, POCT, and external findings are linked via a common platform.

• Integration of primary care, specialist, and inpatient diagnostics & connection of external referrers for cross-sector care through the introduction of an integrated diagnostics platform

• Establishment of telemedicine network structures with services such as telemedicine consultations, remote diagnosis, and AI platforms thanks to structured case preparation and digital diagnosis

• Support for specialized laboratories in centers for rare or complex diseases

• Bundling of laboratory services in a joint laboratory for regional hospital networks

• Integrated emergency structures through the establishment of emergency laboratories at the ZNA & POCT

Transformation scenarios in the hospital and network context – rethinking digital care

The KHTF particularly promotes cross-location and cross-sector care models that ensure a high quality of care even in the event of consolidation or partial location closures. This is precisely where the digital diagnostics and decision-making platform demonstrates its key added value.

1. Cross-location and cross-sector concentration and cooperation

A key element of the transformation is the digital linking of outpatient, inpatient, and rehabilitative care. With the help of a clinical decision support system (CDSS), joint diagnostic care pathways can be developed that extend beyond individual locations. External referrers and cooperation partners are actively integrated into digital diagnostic pathways—for example, through structured consultation recommendations, defined follow-up care logic, or standardized decision-making criteria.

At the same time, communication with referring physicians within the network is being optimized: structured case transfers, consistent diagnostic data, and comprehensible recommendations create transparency, reduce friction losses, and ensure continuity throughout the entire treatment pathway.

2. Telemedicine network structures & ensuring quality of care

Telemedicine is becoming increasingly important, particularly in cases of location changes or the bundling of services. medicalvalues enables CDSS-supported remote diagnosis and consultation functions between clinics, supplemented by a networked diagnostics portal for rare or complex diseases. Platform-supported case preparation, structured findings, and diagnostic scores form the basis for telemedical second opinions and quality-assured decisions.

In addition, AI-supported decision-making support, adaptive medical history and triage logic, and digitally supported continuation of diagnostics by other locations in the network are used—a key funding aspect to ensure equal care despite structural changes.