Towards a conceptual health data model in support of Kenya's National Spatial data infrastructure(KNSDI)
Abstract
Recent developments in interoperable systems and the need for harmonizing
standards for data capture and exchange, as evident in Kenya's National Spatial Data
Infrastructure (KNSDI)'s goal of promoting information sharing, offers opportunities for
redeveloping data collection and storage systems. Key among these is the health data
management systems. While other developed countries are focusing on development
of health data models to support seamless health data exchange and development of
computerized information systems, Kenya is yet to develop one. In a bid to restructure
health care data collection and dissemination in conformity with KNSDI, this research
presents a conceptual health data model for Kenya. The Universal Modeling
Language (UML) is used to model the health data classes, relationships, attributes
and data types. The model acts as a guiding template on which health database can
be developed. It provides an integrated collection of concepts for describing and
manipulating data, relationships between data, and constraints on the data. The
ultimate goal is to illuminate the road towards implementing a comprehensive national
spatio-temporal health information database functioning proactively in real time and
capable of being integrated with other multi-agency datasets.
Publisher
Department of Geospatial Engineering and Space Technology, University of Nairobi
Description
Master of Science in Geographical Information Systems