Cross-Sectoral Care and Telehealth

Enhance the diagnostic collaboration between different sectors of care, including AI-empowered algorithms for telehealth

cross sectoral care and telehealth

Unify diagnostic
data

With the help of the medicalvalues platform you can harmonize your data and align it with international standards like SNOMED CT and LOINC. Ensure a common language across facilities like clinics, family physicians, and nursing homes.

Enhance your telehealth platform

Telehealth providers have to manage a large amount of partially noisy incoming information. Gain a 360-degree view of all diagnostic parameters, making them easily accessible. Leverage the full potential of your telehealth platform by integrating various areas of expertise.

Get ready for Digital Initiatives and international Research

Cross-Sectoral
Innovation

Leverage the medicalvalues platform and its tools as building blocks for truly innovative services. Quickly pilot new forms of diagnostic collaboration and improve patient outcomes by enhancing the flow of information between clinics and nursing homes or residential physicians.

Foundation

Data Standardization and Harmonization

Get to higher quality results – at project start and during operation.

Map existing data sets on your platform to international standards like LOINC and SNOMED CT. Stay up-to-date on changes to the standards and monitor the use.

Harmonize your data using (semi-) automatic mapping tools. Ensure a common language for symptoms, standardized units and apply conversions where needed.

Get a 360-degree view by bringing together different disciplines and clinical expertise - including laboratory, imaging, and anamnesis.

Benefits

Improving Telehealth Diagnostics

With the increasing success of telehealth new data challenges arise – medicalvalues plugs into your existing landscape supporting seamlessly. medicalvalues offers telehealth providers:

  • Standardizing and harmonizing of incoming data

  • A clear user interface that quickly highlights relevant diagnostic insights

  • Template diagnostic pathways, updated continuously

improving telehealth diagnostics
  • Integration of different areas of expertise

  • Next diagnostic step recommendation - including potential escalation

  • Automation of your diagnostic workflow

Collaboration

Innovative Cross-sectoral solutions

Re-Use existing building blocks to quickly prototype new use-cases while ensuring future scalability.

Monitor patients after inpatient treatment and ensure the best possible outcomes - even after leaving the hospital. Observe the rehabilitation and create disease-specific de-escalation mechanisms.

Create a unified dashboard to monitor and view multiple patients - including warnings about critical trends e.g. within laboratory parameters. Be holistically prepared for stationary briefings.

At medicalvalues, we can help you identify areas for diagnostic innovation leveraging e.g. the Design Thinking methodology.

Our Offer

How we can support you

Optimizing your workflow, medicalvalues helps you providing faster patient service. As medicalvalues seamlessly integrates into your existing platform, there is no need to retrain your users.

Take a first step by harmonizing your datasets and explore pre-built, high-quality diagnostic algorithms.

We support the creation of diagnostic pathways with subject matter experts – leveraging data-driven and expert-based content validation. You will always have the possibility to extend and personalize diagnostic pathways according to your specific needs.

Let us bring your cross-sectoral care projects together to the next level.

Blog Articles & News

Track & Trace – quality improvement for medical pre-analysis

Modern laboratory diagnostics are very precise. Thanks to highly developed measurement technology and numerous control mechanisms (precision controls, interlaboratory tests, accreditation, etc.), serious measurement errors in the laboratory are virtually impossible. Faulty laboratory results are usually not caused by faulty laboratory analysis, but are due to (human) errors in pre-analysis. Sample tracking is a useful tool for minimising errors in the pre-analytical phase and improving the classification of any measurement inaccuracies.

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