AMIA 2014 Joint Summits on Translational Science (Clinical Research Informatics and Translational Bioinformatics)
http://www.amia.org/jointsummits2014
CRI09: Panel – TRANSFoRm Digital Infrastructure: The Architecture for The Learning Healthcare System in Europe
“TRANSFoRm digital infrastructure: The architecture for The Learning Healthcare System in Europe”
V. Curcin; T.N. Arvanitis; P. Brodka; D. Corrigan; B. Delaney
Abstract: The Learning Healthcare System (LHCS) refers to the close coupling of clinical research and the translation of research into practice in a cycle of continuous improvement. This vision permeates multiple domains, clinical as well as technical, and its realization is dependent on establishing standardized, secure, and traceable flows of data between these domains to maximize the research and clinical benefits.
This panel presents the model-driven software architecture designed in the TRANSFoRm project (www.transform-project.org), a large EU FP7 Integrated Project to develop a digital infrastructure for the LHCS in European Primary Care. The discussion will cover various components of the system, comparing them with similar tools in USA and Europe, and analyze how our modular approach supports collaboration with related efforts.
Four presentations will cover:
- Overview of the components of TRANSFoRm model-driven software architecture
- The TRANSFoRm software configuration for conducting epidemiological studies from primary care data sources
- The TRANSFoRm software configuration for electronic data collection in clinical trials
- The TRANSFoRm software configuration for diagnostic support
A discussion will provide an overview of other LHCS software work in the USA and Europe, with opportunities for collaboration and international standards development. We shall also detail the software engineering practices we used in developing the architecture, and dealing with highly heterogeneous domain models and established software standards associated with the domains.
CRI17: Papers/Podium Presentations – Using Electronic Health Records for Research in Multiple Settings
“Detailed Clinical Modelling Approach to Data Extraction from Heterogeneous Data Sources for Clinical Research”
S.N. Lim Choi Keung; L. Zhao; J. Rossiter; M. McGilchrist; F. Culross; J. Ethier; A. Burgun; R. Verheij; N. Khan; A. Taweel; V. Curcin; B. Delaney; T.N. Arvanitis
Abstract: The reuse of routinely collected clinical data for clinical research is being explored as part of the drive to reduce duplicate data entry and to start making full use of the big data potential in the healthcare domain. Clinical researchers often need to extract data from patient registries and other patient record datasets for data analysis as part of clinical studies. In the TRANSFoRm project, researchers define their study requirements via a Query Formulation Workbench. We use a standardised approach to data extraction to retrieve relevant information from heterogeneous data sources, using semantic interoperability enabled via detailed clinical modelling. This approach is used for data extraction from data sources for analysis and for pre-population of electronic Case Report Forms from electronic health records in primary care clinical systems.
