AI-Pathway Companion

Actionable insights for personalized care

Benefits

Patient consultation

Patient consultation

AI-Pathway Companion1, a CE marked4 clinical decision support solution, enables personalized and standardized care along care pathways in oncology, cardiology3 and infectious diseases3. The intelligent clinical decision support solution aims to facilitate diagnosis and therapeutic decisions with a clear goal: improving patient outcomes along disease-specific pathways10.

At a glance, the solution shows the patient’s relevant clinical history, current patient status, diagnostic images and results from the pathological reports, directly on hand, eliminating the need to access information from multiple databases or files. With key information readily in head, you are prepared for each patient discussion or consultation with other specialists. 

Leveraging AI technologies to provide further insights for you and your patients , the AI-Pathway Companion compares the patient´s clinical status against the current guidelines6 and, through a decision diagram, shows you where your patient is and the options for the next steps in diagnosis and therapy. You can think of it as a clinical GPS system where patients are at the center of it all.

Clinical use

AI-Pathway Companion...

  • ... aggregates, correlates, and visualizes relevant patient-specific information along the prostate cancer pathway2 and other disease pathways3
  • ... enables automatic patient-specific mapping along clinical pathways using evidence-based guidelines2, 5, 6, 10
  • ... facilitates objective decision-making by multi-disciplinary experts on correlated patient data and
    preferences2, 5
  • ... offers transparent insights into time to diagnosis and treatment8

Bulletin

Here you will find latest news and publications on the AI-Pathway Companion.

Webinar with Dr. Wakefield and Bliven from MUHC: Enabling AI-Powered Clinical Decision Support: View from the “C” Seats!

We believe that healthcare institutions can attain clinical, operational and financial benefits by enabling their clinicians with AI-powered decision support solutions to support informed decisions along patients’ disease pathways. So do your colleagues from University of Missouri Health Care (MUHC).

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