Introduction of a Pathophysiology-Based Diagnostic Decision Support System and Its Potential Impact on the Use of AI in Healthcare.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Many currently available Diagnostic Decision Support Systems (DDSS) are based on causal condition-symptom relations that exhibit certain shortcomings. Ada's new approach explores the capabilities of DDSS based on pathophysiology, describing a disease as a dynamically evolving process. We generated a pathophysiology model for 8 conditions and 68 findings suitable to assess this approach. Preliminary results meet our expectations while leaving space for further improvement.

Authors

  • Sandra Kühnel
    Ada Health GmbH, Adalbertstraße 20, 10997, Berlin, Germany.
  • Milan Jovanovic
    Ada Health GmbH, Adalbertstraße 20, 10997, Berlin, Germany.
  • Henry Hoffmann
    Ada Health GmbH, Adalbertstraße 20, 10997, Berlin, Germany.
  • Lennert Schneider
    Ada Health GmbH, Adalbertstraçe 20, 10997, Berlin, Germany.
  • Sabrina Golde
    Ada Health GmbH, Adalbertstraße 20, 10997, Berlin, Germany.
  • Martin C Hirsch
    Ada Health GmbH, Adalbertstraße 20, 10997, Berlin, Germany.