About the Project

Multi-disciplinary team (MDT) meetings are the global standard for planning lung cancer treatments. These meetings bring together specialists to review patient data and decide on treatment plans. However, strict time constraints and complex medical information often lead to rushed decisions. Our ongoing research explores how Clinical Decision Support Systems (CDSS) can improve these MDT meetings by making patient data more accessible and decision-making more efficient.

Goals

• Develop a CDSS for MDT that optimizes patient data visualization for clarity across medical specializations
• Ensure seamless integration into hospital workflows with adaptability for other healthcare settings
• Use human-centered and participatory design methods to create a system clinicians trust and find useful

Approach

We are working closely with MDT specialists through interviews, observations, co-design workshops, rapid prototyping, and usability testing. The project combines qualitative and quantitative methods to ensure the solution fits real-world clinical needs.

Current Progress

• Early prototypes tested in simulated MDT meetings
• Pilot Validation using User Experience Questionnaires (UEQ) and eye-tracking studies
• Interactive design based on clinician feedback

Why It Matters

Improving decision-making in MDT meetings can lead to better treatment outcomes and more efficient use of clinical time. This project contributes to service design in healthcare, showing how human-centered design can support digital tools for complex clinical environments.

Next Steps

We are refining the CDSS for integration at St. Olavs Hospital and exploring opportunities for broader implementation across Norway.

Mathilde Bogen and Molly Prescot Gibson (2025): Interactive decision support and planning tool for multi-disciplinary lung cancer surgery team, Master’s thesis, NTNU
Supervisor: Ashis Jalote Parmar & Co supervisor: Håkon Olav Leira