ABSTRACT
Alignment of Information Systems with organizational objectives and strategy is a key factor for the success of information systems. However, most health facilities have not aligned their Health Information Systems to organizational-wide strategic goals and objectives. This has led to challenges such us poor planning, lack of resources and above all the lack of direction by top management in implementing and using Health Information Systems. This research involved an assessment of the requirements for strategic alignment of health information systems in health facilities, development and validation of a strategic alignment model using selected health facilities.
A multi-method research approach involving the use of quantitative and qualitative methods was used. The quantitative approach provided quantitative data that was used to generate requirements for the development of the model, as well as validating and testing of the system dynamics model. A sample of 408 respondents was taken from 39 health facilities in Uganda to participate in the study. Data was analyzed using descriptive statistics and presented in tables and graphs. The requirements for strategic alignment of Health Information Systems were identified as proper planning, establishment of policies, frameworks and standards, resource mobilization, establishment of work processes, training and sensitization of staff members about Health Information Systems work processes. Further, there is need to minimize time lag between HIS and other integrated organization information systems, improve on useful features and functions of HIS and also ensure the system covers all functions of the health facility. The study proposes a model, which when well used can help to improve the strategic alignment of Health Information Systems in health facilities.
- Sahay, B. S. (2005). Multi-factor productivity measurement model for service organisation. (2005). International Journal of Productivity and Performance Management, 54(1), 7--22.Google ScholarCross Ref
- Amaral, L. A., & Uzzi, B. (2007). Complex systems: a new paradigm for the integrative study of management, physical and technological systems. Management Science, 53(7), 1033--1035. Google ScholarDigital Library
- Avila, O., Goepp, V., & Kiefer, F. (2009). Understanding and classifying information system alignment approaches. Journal of computer information systems, 50(1), 2.Google Scholar
- Braa, J., & Hedberg, C. (2002). The struggle for district-based health information systems in South Africa. The information society, 18(2), 113--127.Google Scholar
- Bush, M., Lederer, A. L., Palmisano, J., & Rao, S. (2009). The alignment of information systems with organizational objectives and strategies in health care. International journal of medical informatics, 78(7), 446--456.Google Scholar
- Chang, H. L., Hsiao, H. E., Lee, Y. J., & Chang, J. (2009). Assessing IT-business alignment in service-oriented Enterprises. Pacific Conference on Information Systems.Google Scholar
- Coiera, E. (2009). Building a national health IT system from the middle out. Journal of the American Medical Informatics Association, 16(3), 271--273.Google ScholarCross Ref
- Delone, W. H. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9--30. Google ScholarCross Ref
- Forrester, J. W. (1994). System dynamics, systems thinking, and soft OR.,. System Dynamics Review, 10(2-3), 245--256.Google ScholarCross Ref
- Frangos, A. (2012). Learn To Read Causal Loop Diagrams. Systems And Us.Google Scholar
- Goldschmidt, P. G. (2005). HIT and MIS: implications of health information technology and medical information systems. Communications of the ACM, 48(10), 68--74. Google ScholarDigital Library
- Harris, B., & Williams, B. (2005). System Dynamics Methodology. WK Kellogg Foundation.Google Scholar
- Heeks, R. (2006). Health information systems: Failure, success and improvisation. International journal of medical informatics, 75(2), 125--137.Google Scholar
- Henderson, J. C., & Venkatraman, N. (1993). Strategic alignment: Leveraging information technology for transforming organizations. IBM systems journal, 32(1), 4--16. Google ScholarDigital Library
- Isabalija, S. R., Mbarika, V., & Kituyi, G. M. (2013). A framework for sustainable implementation of e-medicine in transitioning countries. International journal of telemedicine and applications, 2013(8). Google ScholarDigital Library
- Lapiedra, R., Alegre, J., & Chiva, R. (2006). User Participation on the Development of Information Systems. European and Mediterranean Conference on Information Systems, (pp. 1--10). Costa Blanca, Alicanta, Spain.Google Scholar
- Luftman, J., & Kempaiah, R. (2008). Key issues for IT executives 2007. MIS Quarterly Executive, 7(2), 99--112.Google Scholar
- Madachy, R. (2008). Software Process Dynamics. New York: Wiley--IEEE Press.Google Scholar
- Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Review: Information technology and organizational performance: An integrative model of IT business value. MIS quarterly, 28(2), 283--322. Google ScholarDigital Library
- Ribbers, P. M. (2008). The I-Fit Model: Developing a tool to detect potential alignment problems. In K. Milis, A. M. Fairchild, & M. T. Smits (Ed.), European and Mediterranean Conference on Information Systems. Brunel University:UK.Google Scholar
- Rudner, L. M., & Schafer, W. D. (2001). Practical Assessment, Research & Evaluation. Practical Assessment, Research & Evaluation, 7(2000-2001).Google Scholar
- Rwashana, A. S., & Williams, D. W. (2008). Modeling the Dynamics of Immunization Healthcare Systems: The Ugandan Case Study. 26th International Conference of the System Dynamics Society, (pp. 20--24).Google Scholar
- Silva, L., Figueroa, B. E., & Gonzáález-Reinhart, J. (2007). Interpreting IS alignment: A multiple case study in professional organizations. Information and Organization, 17(4), 232--265. Google ScholarDigital Library
- Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Chicago, IL.: Irwin--McGraw-Hill. Google ScholarDigital Library
- D. (2004). Dynamics Synthesis Methodology: A Theoretical Framework for Research in The Requirements Process Modelling and Analysis. 1st European Conference on Research Methods for Business and Management Studies, (pp. 29--30).Google Scholar
Index Terms
- Alignment of Information Systems to Strategy in the Health Sector Using a Systems Dynamics Approach
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