Health information systems integration : a data warehouse architecture model for the Ministry of Health in Mozambique

This thesis presents a study about a data warehouse architecture model for the Ministry of Health (MoH) in Mozambique. The study combines two areas: health care and information systems areas. It was conducted using two research methodologies: system development and case study of the Ministry of Health. The model aims at integrating data from different sources in the Ministry of Health. The fieldwork was carried out in the southern area of Mozambique, in the Ministry of Health in Maputo province and in two districts of Gaza province: Manjacaze and Chibuto. The choice of these sites for the fieldwork was based on the implementation of the District Health Information System project. This research is a contribution to the current process of data and information integration in the Ministry of Health. Integration of information and data warehouse (DW) technology are tools that offer resources to obtain managerial information needed to establish control over management process. Data warehousing aims at providing, managing and exploiting a set of integrated data for decision support within an organization. The research methods applied to this study include interviews, observations, questionnaires, document analysis and analysis of existing systems. During the development of the model I applied part of the data warehouse life cycle. Taking into account the system development phases, I covered the first three phases of the data warehouse life cycle, in order to document the existing legacy systems, to create a model of data warehouse and to clean the data. As a result, I present a data warehouse architecture model for the Ministry of Health. The proposed model integrates different heterogeneous systems and provides integrated information for health workers m(administrative personnel and managers). The empirical findings proved that for the data warehouse project the Ministry of Health will need to put more effort on the data quality control, because the quality of data influence the decision-making process. Responsible for this website University of Oslo Library Contact Us duo-hjelp@ub.uio.no Privacy policy Health information systems integration: a data warehouse architecture model for the Ministry of Health in Mozambique  

[1]  P. Atkinson,et al.  Making Sense of Qualitative Data: Complementary Research Strategies , 1996 .

[2]  Elliott Levine.  Building a Data Warehouse. , 2002 .

[3]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .

[4]  Judith .QBell Judith Bell,et al.  Doing Your Research Project: A Guide for First-time Researchers , 1993 .

[5]  Stephen R. Gardner.  Building the data warehouse , 1998, CACM.

[6]  Howard S. Becker,et al.  Tricks of the Trade: How to Think about Your Research While You're Doing It , 1998 .

[7]  C. Quantin,et al.  An Approach for Integrating Heterogeneous Information Sources in a Medical Data Warehouse , 2001, Journal of Medical Systems.

[8]  Jari Vanhanen,et al.  Combining data from existing company data sources: architecture and experiences , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[9]  Klaus R. Dittrich,et al.  Data Warehouse Refreshment Using SIRIUS , 2000 .

[10]  Peter Langhorne,et al.  Integrating Heterogeneous Pieces of Evidence in Systematic Reviews , 1997, Annals of Internal Medicine.

[11]  Jørn Braa,et al.  Networks of Action: Sustainable Health Information Systems Across Developing Countries , 2004, MIS Q..

[12]  Pascal Staccini,et al.  Towards Semantic Integration within an Existing Medical Information System , 1998, MedInfo.

[13]  A. Maslow.  Motivation and Personality , 1954 .

[14]  Barbara Wixom,et al.  Data Warehousing Supports Corporate Strategy At First American Corporation , 2000, MIS Q..

[15]  Angela Sanchez.  Data warehousing with Informix: best practices , 1998 .

[16]  W. H. Inmon,et al.  Building the data warehouse , 1992 .

[17]  Pamela Pipe.  The Data Mart: A New Approach to Data Warehousing , 1997 .

[18]  S. Kvale.  The Qualitative Research Interview , 1983 .

[19]  Andreas S. Weigend,et al.  Data Mining for Financial Decision Making , 2002 .

[20]  C. Floyd.  A Systematic Look at Prototyping , 1984 .

[21]  Richard D. Hackathorn,et al.  Using the Data Warehouse , 1994 .

[22]  Beate List,et al.  A HOLISTIC APPROACH FOR MANAGINGREQUIREMENTS OF DATA WAREHOUSE SYSTEMS , 2002 .

[23]  Alan M. Davis,et al.  Software Requirements: Objects, Functions and States , 1993 .

[24]  Mark S. Silver,et al.  Decisional Guidance for Computer-Based Decision Support , 1991, MIS Q..

[25]  J. Cliff,et al.  Health as a target: South Africa's destabilization of Mozambique. , 1988, Social science & medicine.

[26]  Martin Staudt,et al.  Design and Management of Data Warehouses. Proceedings DMDW '99 , 1999 .

[27]  D. Ellis.  Qualitative evaluation and research methods : Michael Quinn Patton. (2nd edition) London: Sage, 1990. 532 pp. ISBN 0 8039 3779 2. £33.25 , 1990 .

[28]  Heinz Züllighoven,et al.  Evolutionary System Development , 1992 .

[29]  Barbara J. Haley,et al.  Implementing the decision support infrastructure : key success factors in data warehousing , 1998 .

[30]  M. Dixon,et al.  - 1-Preparing Clean Views of Data for Data Mining , 2000 .