Learn More
The extraction of specific data from electronic medical records (EMR) remains tedious and is often performed manually. Natural language processing (NLP) programs have been developed to identify and extract information within clinical narrative text. We performed a study to assess the validity of an NLP program to accurately identify patients with prostate(More)
To evaluate the impact of the urologist’s experience in selecting active surveillance (AS) versus immediate treatment (IT) for low-risk prostate cancer. Men with low-risk prostate cancer were enrolled from March 2011 to August 2013 at 13 medical centers in Kaiser Permanente Southern California. The AS cohort was defined as men who had cT1-T2a stage prostate(More)
OBJECTIVE To assess the health-related quality of life (HRQoL) of patients with prostate cancer up to 24 months after treatment in a contemporary large diverse population. PATIENTS AND METHODS Patients with newly diagnosed prostate cancer from March 2011 to January 2014 in our healthcare system were included. The Expanded Prostate Cancer Index Composite(More)
  • 1