ASCO, Author Interviews, Cancer Research, Technology / 22.06.2018

MedicalResearch.com Interview with: [caption id="attachment_42660" align="alignleft" width="196"]Alexandra Urman, MPH Clinical Research Manager Clinical Development IBM Watson Health  Alexandra Urman[/caption] Alexandra Urman, MPH Clinical Research Manager Clinical Development IBM Watson Health  MedicalResearch.com: What is the background for this study?  Response: Cancer statistics show only 3-5% of cancer patients participate in clinical trials although up to 20% may be eligible. Dr. Tufia Hadad, a medical Oncologist at the Mayo Clinic in Rochester, Minnesota sought to address this issue and spearheaded a project conducted at the Rochester facility in collaboration with IBM Watson Health. The objective was to determine if the use of cognitive computing increased clinical trial enrollment and screening efficiency in the breast cancer clinic. Watson for Clinical Trial Matching (CTM) is a cognitive system which utilizes natural language processing to derive patient and tumor attributes from unstructured text in the electronic health record that can be further used to match a patient to complex eligibility criteria in trial protocols.