According to the National Cancer Institute, there are more than 100 types of cancer. Just this year, an estimated 1,688,780 new cancer cases were diagnosed and 600,920 cancer deaths occurred in the United States. Screening tests for early detection help to prevent these cases, especially when e-science technologies are integrated in to health system workflows.
In a published Journal of the American Medical Informatics Association article, researchers look at the workflows used in personalized prostate and breast cancer screenings.
What did they discover? New models can help identify and evaluate cost-effectiveness, risk stratification and evaluation of biomarkers for personalized screening and treatment.
Why informatics? So, we can implement better methods to screen for cancers, ultimately saving lives.