| Literature DB >> 23920680 |
Seyed Ali Mussavi Rizi1, Abdul Roudsari.
Abstract
Data warehouse projects are perceived to be risky and prone to failure due to many organizational and technical challenges. However, often iterative and lengthy processes of implementation of data warehouses at an enterprise level provide an opportunity for formative evaluation of these solutions. This paper describes lessons learned from successful development and implementation of the first phase of an enterprise data warehouse to support public health surveillance at British Columbia Centre for Disease Control. Iterative and prototyping approach to development, overcoming technical challenges of extraction and integration of data from large scale clinical and ancillary systems, a novel approach to record linkage, flexible and reusable modeling of clinical data, and securing senior management support at the right time were the main factors that contributed to the success of the data warehousing project.Entities:
Mesh:
Year: 2013 PMID: 23920680
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630