Clinical registry, defined as an organised system for the collection, storage, retrieval, analysis, and dissemination of information on individuals with a condition that predisposes to the occurrence of a health-related event, are designed through data repository or data warehouse. Data repository is described as a real-time database that consolidates data from a variety of clinical sources that offers a comprehensive source for storage and retrieval of relevant clinical information needed. However, data warehouse is a data repository that concentrates on data queries and data analytics. Rehabilitation registry in Malaysia is still at its infancy with lack of data sharing and integration. As rehabilitation is a subspecialty concerned with the prevention, diagnosis, and rehabilitation of disabling conditions, a registry would allow identification of patients’ demographics, clinical and functional outcomes improvement, benchmarking the delivery of rehabilitation services, and research purposes. The application of virtual data warehouse, cloud computing, big data analytics and geomapping for clinical registries have been implemented well in countries like China and United Kingdom. The main objectives of this research-in-progress paper are to demonstrate the feasibility of developing and designing virtual data warehouse framework based on cloud computing technology, in an attempt towards big data analytics and geomapping implementation for inpatient rehabilitation registry in Sabah, Malaysia.
Ahmedy, Fatimah; Fan, Soo; Tuah, Nooralisa Mohd; Nasirin, Syed; and Shah, Syahiskandar Sybil, "Developing Virtual Data Warehouse for Rehabilitation Registry in Sabah, Borneo: Towards Big Data Analytics and Geomapping" (2019). UK Academy for Information Systems Conference Proceedings 2019. 32.