How to improve information technology strategic planning effectiveness using balanced scorecard, risk and maturity analysis, case study health information technology? A qualitative study.

Abstract

Although many health strategic plans have been developed by scholars and organizations, they still suffer from a limited view. Since most health-related strategies in the future will depend on information technology (IT), as the main driver of today's industry, technology, and society, IT merits attention in health strategic plans. While the majority of the health strategic plan developed based on the interviews and questioner and these plans didn't consider the role of IT in their actions, this research will develop a framework to integrate risk and maturity analysis with the strategic planning process in health information technology strategic plan. The present research introduces an integrated framework based on a balanced scorecard (BSC) and control objectives for information and related technologies (COBIT). Also, The American Productivity & Quality Centre framework and COBIT were employed in this model to define the processes and activities of health IT (HIT) organizations. The organization's maturity and risk are analyzed in terms of information and management criteria using BSC, COBIT, and the analytical hierarchy process. Later this model was implemented in a Remote Health care System to improve the strategic management process for this technology. Using this framework, 17 business goals have been developed and presented for the case. Also, the total related risk was 48% and the maturity level was at 1/18. The results are presented as decision-making parameters and strategies for successful IT implementation. The presented framework provides deeper insight for the decision-maker through integrating risk and maturity analysis in the HIT strategic planning process. The results are presented as decision-making parameters and strategies for successful IT implementation. These strategies help investors decide about resource allocation based on the risk-taking capability, certainty, and uncertainty results of the plan.