This project began with the ambitious aim of reducing the workload for clinicians treating patients with colorectal cancer.
The initial approach was to arrange Design Thinking sessions with different stakeholders. After these sessions, we quickly realized that it is
particularly challenging for the clinicians to prepare for *MDT-meetings, as
they have to go through a vast amount of data from medical records.
We have therefore focused on the possibility of developing decision support by
extracting relevant text and data from medical records, using a rule-based
Our efforts were steered towards a number (n = 1000) of historical patient journals from 25 individual patients.
We successfully developed algorithms for
identifying, classifying and categorizing the correct **TNM-classification
for any given patient out of the 25. Based on the
limited number of patients, a rule-based approach was
assumed superior to a data-driven approach.
The ability to extract information about the stage of a patient’s cancer from medical records has been made available for integration with other services using Watson Explorer’s built in ***APIs.
*MDT – Mulitdisiplinary Teams
**A system for classifying the
cancer stage. TNM= Tumor, Node, Metastasis
***API - Application Programming Interface