Learn Health Syst
January 2019
The benefits of reusing EHR data for clinical research studies are numerous. They portend the opportunity to bring new therapies to patients sooner, potentially at a lower cost, and to accelerate learning health cycles-through faster data acquisition in clinical research studies. Metrics have proven that time can be saved, workflow and processes streamlined, and data quality increased significantly.
View Article and Find Full Text PDFThe Learning Health Community is an emergent global multistakeholder grassroots incipient movement bonded together by a set of consensus developed at the 2012 Learning Health System (LHS) Summit. The Learning Health Community's Second LHS Summit was convened on December 8 to 9, 2016 building upon LHS efforts taking shape in order to achieve consensus on actions that, if taken, will advance LHSs and the LHS vision from what remain appealing concepts to a working reality for improving the health of individuals and populations globally. An iterative half-year collaborative revision process following the Second LHS Summit led to the development of the .
View Article and Find Full Text PDFSemantic 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 definitions that can be used in applications and studies to improve biomedical research and its link with health care. As a pilot study, we propose a representation and harmonization framework for clinical study data elements and implement a prototype CDISC Shared Health and Research Electronic Library (CSHARE) using Semantic MediaWiki.
View Article and Find Full Text PDFOpen global standards, workflow integration profiles, and related processes have been developed through consensus-based procedures. Although these standards and profiles should be augmented with additional therapeutic area-based content standards, they are available now to enable the use of electronic health records to directly support clinical research concurrent with patient care. Improving the exchange of information and integrating workflow between research and health care are inherently necessary to accelerate the pace of informing clinical decisions based on current research findings and for an efficient, cost-effective health care system to improve the quality of patient care.
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