How healthcare leaders are tackling change management and AI

"Technologies like artificial intelligence (AI) and automation are fundamentally changing the way humans work. Fueled by healthcare’s growing big data, increased competition and the demand for better patient experiences, healthcare systems are turning to AI solutions and machine learning to streamline manual processes, reduce costs and deliver more efficient care processes. But how is the healthcare workforce being impacted by the digital transformation of care?

As healthcare systems turn to AI technology to give them a competitive edge, change management strategies are becoming increasingly important to a healthcare system’s long-term success. Ensuring you have a prepared and engaged team to proactively manage and deliver your AI solution is critical to reaping the full benefits and potential of new healthcare technologies.

But first, what is change management in healthcare?

Launching a new initiative or AI technology is rarely a simple process. Resistance from employees, impact on both teams and systems, and so many other factors impact the success or failure of an AI implementation. Healthcare change management is a set of plans and processes designed to help organizations successfully implement new initiatives like AI solutions. The goal of change management in healthcare is to ensure the success of these initiatives by creating a holistic plan that sets expectations, empowers key stakeholders and facilitates productive dialogue to encourage buy-in.

Common challenges healthcare leaders face with organizational change

AI technologies and automation are revolutionizing the healthcare industry — but not without certain challenges. For instance, the launch of new AI solutions can impact widespread people, and systems within a healthcare organization. Think of this way: Clinicians and other healthcare providers may be asked to change habits they’ve developed over years or even decades in their roles. Even gaining executive support can be a challenging yet crucial aspect for mobilizing and activating an AI initiative. And underestimating the scale and impact of an AI implementation can lead to significant change management challenges and lack of AI adoption down the road..." Lire la suite