Landen Bain

Learn 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)
EHRs can now be adapted to integrate seamlessly with existing research platforms. However, key challenges need to be overcome in order to provide a platform that functions across many EHR systems. The IHE Quality, Research and Public Health (QRPH) domain addresses the information exchange standards necessary to share information relevant to quality(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)
Integration profiles collaboratively developed by CDISC and IHE for integrating data from Electronic Health Records (EHRs) with clinical research and pharmacovigilance are limited to resolving lexical/syntactic data integration issues and do not address semantic barriers. This paper describes the collaboration between two European projects - EHR4CR and(More)
Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Managing Interoperability and Complexity in Health Systems”. Background: Data sharing and integration between the clinical research data management system and the electronic health record system remains a challenging issue. To approach the issue, there is(More)
  • 1