AB18. Clinical research using smart prostate cancer database system (SPC-DB)

In spite of increased prostate cancer patients, little is known about the impact of treatments for prostate cancer patients and outcome of different treatments based on nationwide data. In order to obtain more comprehensive information for Korean prostate cancer patients, the Korean Prostate Cancer Database system (K-CAP) was planned and cautiously accommodated different views from various professions. This prostate cancer research database system incorporates information about a prostate cancer research including demographics, medical history, operation information, laboratory, and quality of life surveys. And, this system includes three different ways of clinical data collection to produce a comprehensive data base; direct data extraction from electronic medical record (EMR) system, manual data entry after linking EMR documents like magnetic resonance imaging findings and paper-based data collection for survey from patients. Smart Prostate Cancer Database (SPC-DB) system shares the whole patient information including demographic, clinical, diagnostic, treatment, and treatment outcome results through clinical data warehouse system of the institution. We will start Asian Prostate Cancer Database System. Our first step was to develop research database structure including data elements for a successful observational database. We defined the important questions to which providers want answers, and data elements need to be captured. And, the second step was to compare different ways of data collection and suggest more efficient methods. Data capture with less human effort is important step to maintain the database for long period time. The purpose of prostate cancer database is to propose the multi center observational research database structure incorporating clinical factors and patient self reports and suggest effective ways of data collection linking with clinical information systems. Our objective was to develop research database system having easy data access, transparent scientific reproducibility, and interoperability between multiple centers.