Authors:
Olga Fajarda
1
;
Luis Bastião Silva
2
;
Peter R. Rijnbeek
3
;
Michel Van Speybroeck
4
and
José Luis Oliveira
5
Affiliations:
1
University of Aveiro, Portugal
;
2
BMD Software, Portugal
;
3
Erasmus MC, Netherlands
;
4
Janssen Pharmaceutica NV, Belgium
;
5
Universidade de Aveiro, Portugal
Keyword(s):
Electronic Health Records, Observational Studies, Cohorts, Clinical Research, Secondary Use.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Electronic Health Records and Standards
;
Health Information Systems
;
Healthcare Management Systems
;
Practice-based Research Methods for Healthcare IT
Abstract:
The proliferation of electronic health databases has resulted in the existence of a wide collection of diversified
clinical digital data. These data are fragmented over dispersed databases in different clinical silos around the
world. The exploration of these electronic health records (EHRs) is essential for clinical and pharmaceutical
research and, therefore, solutions for secure sharing of information across different databases are needed.
Although several partial solutions have been proposed over the years, data sharing and integration has been
hindered by many ethical, legal and social issues. In this paper, we present a methodology to perform semi-automatic
queries over longitudinal clinical data repositories, where every data custodian maintains full control
of data.