“Now wecan open this up to all nursing units at Yale-New Haven and eventually Greenwich and Bridgeport Hospitals, because Hadoop can handle the volume of data streaming in,” said Charles Torre, Jr., ITS System Executive Director for Yale New Haven Health System. After examining the alarm thresholds, the Information Technology Services (ITS) team was able to reduce noise by almost 50 percent. In an effort to reduce noise from monitoring devices in the hospital’s neonatal intensive care units, alarm data-some 40,000 messages per second-were streamed into Hadoop.
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Ultimately this process translated to dramatic decreases in intraoperative blood loss and a corresponding decrease in the need for transfusions.įor large data sets such as genomics and medical device data, Helix uses Hadoop, an open-source software framework that allows for the compression, storage, and fast processing of extremely large data sets at a low cost. When variances in certain cardiothoracic surgeries were noted to be high compared to benchmarks, analyses were conducted that led to changes in equipment. Variances in blood utilization were analyzed using data from Helix. In one initiative, a multidisciplinary group of hospitalists, hematologists, and informaticists studied the use of blood products across the health system. “Having a unified databaseallows us to ask questions that are multidisciplinary, whereas before that was much harder to do,” said Medical Information Officer Prem Thomas, MD, who leads the YNHHS data warehouse development team. Helix draws from such varied sources as the EHR the Help Us Discover database with approximately 7,000 potential research subjects patient satisfaction surveys the Hospital Consumer Assessment of Healthcare Providers andSystems (HCAHPS) private databases and the Social SecurityDeath Index to provide clinicians and researchers with unprecedented access to information. To help manage the vast amounts of data contained in the EHRand other databases, Yale utilizes Epic’s data warehouse, renamed Helix and customized with the capacity to contain all the clinical, research, financial, quality, and operational data across the Yale New Haven Health System (YNHHS) and the School of Medicine.
Now, the implementationof a single unified EHR database offers new and varied opportunities to delve into data for research and analytics. Until recently, clinical and other types of data were siloed in datawarehouses throughout the institution.
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