Applications of advanced analytics in healthcare

Abstract

Analytics is increasingly becoming a key tool to support informed management decisions in organisations. An organisation’s capability to make use of data analytics can enhance efficiencies and increase competitive differentiation and advantage. In the context of healthcare, analytics can support improved health outcomes and hence stakeholder value that enhances affordability and access to care. A deep understanding of analytics applications and techniques lends itself to identification of opportunities where analytics techniques are best applied. This paper introduces analytics maturity models as a tool to inform proportionally appropriate analytics applications. In this paper, a broader perspective is provided through consideration of the position on the analytics maturity curve of current techniques utilised in the healthcare system. The relationship between analytics maturity and analytics techniques in the healthcare space is then explored to demonstrate that there are opportunities for applying more sophisticated techniques to more advanced applications and hence enhance the efficiency of healthcare outcomes and health risk management.