Accelerating Change in Healthcare: Leveraging Kotter's Model for a Successful Integration of Artificial Intelligence.

Abstract

Abstract Artificial intelligence in healthcare has a significant potential to deliver more efficient and effective medical services, as opposed to the current conventional practices. Although the transitioning into an artificial intelligence-based healthcare is considerably challenging, numerous cases around the world proven efficient and effective. The objective of this paper is to investigate why Kotter’s change management model is the favourable model for said change. In order to achieve that objective, a qualitative set of data has been collected and analysed. Kotter’s model has been validated based on a comparative review as well as models analysis counting in the most commonly used change management models. The paper concludes the necessity for a change management model, considering the magnitude and novelty of the change, which consequently indicates that in order to improve the delivery of medical services, by reducing cost, increasing accuracy and precision, an artificial intelligence initiative must be put in place, aided by change management. The paper also offers a framework to aid with mitigating and overcoming failures and setbacks when implementing the model.