MEDCIS: Multi-Modality XXXX Data Capture and Integration System.

@entity1 @entity410 @entity944 @entity302 @entity6498 @entity204
@entity944 ( @entity944 ) is the leading mode of @entity204 and is most common in @entity1 with intractable, frequent, and continuing @entity410 . A statistically significant cohort of @entity1 for @entity944 study requires meticulous, prospective follow up of a large population that is at an elevated risk, best represented by the @entity302 Monitoring Unit ( @entity6498 ) @entity1 population. Multiple @entity6498 need to collaborate, share data for building a larger cohort of potential @entity944 @entity1 using a state-of-the-art informatics infrastructure. To address the challenges of data integration and data access from multiple @entity6498 , we developed the Multi-Modality @entity302 Data Capture and Integration System (MEDCIS) that combines retrospective clinical free text processing using NLP, prospective structured data capture using an ontology-driven interface, interfaces for cohort search and signal visualization, all in a single integrated environment. A dedicated @entity302 and @entity410 Ontology (EpSO) has been used to streamline the user interfaces, enhance its usability, and enable mappings across distributed databases so that federated queries can be executed. MEDCIS contained 936 @entity1 data sets from the @entity6498 of University Hospitals Case Medical Center (UH CMC) in Cleveland and Northwestern Memorial Hospital (NMH) in Chicago. @entity1 from UH CMC and NMH were stored in different databases and then federated through MEDCIS using EpSO and our mapping module. More than 77GB of multi-modal signal data were processed using the Cloudwave pipeline and made available for rendering through the web-interface. About 74% of the 40 open clinical questions of interest were answerable accurately using the EpSO-driven VISual AGregagator and Explorer (VISAGE) interface. Questions not directly answerable were either due to their inherent computational complexity, the unavailability of primary information, or the scope of concept that has been formulated in the existing EpSO terminology system.
