The 9 million semi-structured legacy records are now searchable and retrievable in the Hadoop Distributed File System (HDFS). This allowed the UCIH team to turn off their legacy system that was used for view only, saving them more than $500,000.
The CIG has already launched two new data-driven programs, one to reduce patient re-admittance and another to monitor patient vitals in real time.
Researchers at the medical school will be using HDP for cohort discovery. For example, a biomedical researcher on prostate cancer may want to identify males between the ages of 45-55 that:
• had prostate cancer at a certain stage,
• that underwent a prostatectomy and
• that are taking a certain class of drugs.
Then researchers can easily present the anonymous sample cohort to their Internal Review Board for approval, without ever having seen uniquely identifiable information. This speeds the process of preparing and approving a study, while assuring patient confidentiality.