Rebecca Kush

Learn More
Semantic interoperability among terminologies, data elements, and information models is fundamental and critical for sharing information from the scientific bench to the clinical bedside and back among systems. To meet this need, the vision for CDISC is to build a global, accessible electronic library, which enables precise and standardized data element(More)
OBJECTIVES To describe the IMI EHR4CR project which is designing and developing, and aims to demonstrate, a scalable, widely acceptable and efficient approach to interoperability between EHR systems and clinical research systems. METHODS The IMI EHR4CR project is combining and extending several previously isolated state-of-the-art technical components(More)
We can travel almost anywhere in the world and find a machine that will dispense local currency, taking the money from our home account with the use of a bank card. Yet, when we go from a primary care physician to a specialist in our home town, we must begin at square one, providing the new doctor’s office with all our demographic and medical information,(More)
OBJECTIVE Inefficiencies in clinical trial data collection cause delays, increase costs, and may reduce clinician participation in medical research. In this proof-of-concept study, we examine the feasibility of using point-of-care data capture for both the medical record and clinical research in the setting of a working clinical trial. We hypothesized that(More)
The Clinical Data Interchange Standards Consortium (CDISC) has succeeded in developing global clinical data interchange standards that are ready for implementation. The various CDISC models are identified and explained in this article as well as how these models work together. In addition to developing the CDISC standards, CDISC is involved actively in many(More)
2163 cerns about causal interpretations remain. Randomized studies embedded in routine care that assess patient outcomes by means of electronic medical record databases are cost-effective and reduce residual imbalances in patient characteristics at the start of a study. The Patient Centered Outcomes Research Institute recently launched a major initiative to(More)
Data sharing and integration between clinical research data management system (CDMS) and electronic health record (EHR) system remains a challenging issue. To deal with the challenge, there is emerging interest in utilizing the Detailed Clinical Modeling (DCM) approach across a variety of contexts. The Intermountain Healthcare Clinical Element Models (CEMs)(More)