PROJECT TEAM
Andreas Bjerrum, MD, Department of Oncology, Rigshospitalet
Mads Andersen, MD, Department of Oncology, Rigshospitalet
Charles Vesteghem, Associate Professor, Aalborg University Hospital and Aalborg University
Marianne Bertelsen, Head of Section, Centre for Financial Affairs, Capital Region of Denmark
Anders Riis, Team Leader & Data Analyst, Centre for Financial Affairs, Capital Region of Denmark
Sofie Pødenphandt Jensen, Data Analyst, Centre for Financial Affairs, Capital Region of Denmark
THE NEED
Over 16% of lung cancer patients receive systemic anticancer treatment in the final stage of life, often causing severe side effects such as fatigue, nausea, and diarrhea without therapeutic benefit. Clinicians frequently struggle to predict short-term survival accurately, resulting in counterproductive treatments that reduce quality of life and waste resources.
THE SOLUTION
Our validated AI model predicts 30-day mortality by analyzing clinical data, including comorbidities, lab results, and vital signs. By integrating into the clinical workflow, it provides oncologists with accurate, data-driven insights to help avoid potentially harmful treatments near the end of life, ensuring better patient-centered care and resource allocation.
Reducing Counterproductive Treatments - Rigshospitalet
Call 5 - 2024
500.000 DKK
Clinical Area
Oncology
Technology
Health tech
PROJECT SUMMARY
The project implements an AI model predicting 30-day mortality for lung cancer patients to guide treatment decisions. By identifying patients unlikely to benefit from systemic anticancer therapy near the end of life, the solution enhances quality of life and reduces unnecessary treatments and costs.
CLINICAL IMPACT
The AI model can prevent up to 40% of futile treatments near the end of life, avoiding unnecessary side effects, improving end-of-life care, and preserving patient dignity. For healthcare systems, it can decrease unnecessary hospitalizations, optimize resource utilization, and support evidence-based decision-making with potential for nationwide implementation.