For healthcare organizations, RPA offers a bridge from the competitive disadvantages of technology debt to a progressive state of technology enablement. 

By Will Hinde, Trevor Jones, and Mark Snyder 

In many ways the health of individuals and the health of companies are not so different. For both, staying healthy requires maintaining good habits, making changes based on new information and research, and occasionally undergoing large scale interventions. 

It’s ironic, then, that while tasked with ensuring their customers’ health and well-being, many payers are suffering from technology inertia that threatens the health of their own organizations. In this age of fast-moving digital technology, alert competitors, and heightened customer expectations, commitment to inflexible and outdated technology systems has burdened many health plans.

Technology debt may not appear on the balance sheet, but, much like financial debt, it imposes limitations on an organization’s ability to adapt, grow, and develop. Tech debt can accrue for numerous reasons, including lack of collaboration, poor technology leadership, and, most commonly, business pressure. Obsolete legacy systems not only impose draining costs on operations, but they can also limit the ability to roll out new products, adapt to market shifts, and stay ahead of competition. 

To effectively combat tech debt and its tendency to stifle an organization’s ability to embrace more nimble digital technology, health plans should consider automation solutions as an alternative to the quantum leap to new systems. Taking this approach can immediately improve operations, allay business pressure to modernize and evolve, and buy time for an organization to identify and implement appropriate solutions in line with its broader technology and business strategies. In our experience, robotic process automation (RPA) affords health plans a unique opportunity to start tackling legacy tech debt while instilling the flexibility needed to spur digital advancements.

In this paper, you will learn: 

  • About the origins and drivers of tech debt and the dangers of not addressing it correctly
  • How RPA can meet immediate needs and create a foundation for future transformation
  • How and where to start creating a bridge from technology debt to digital enablement with RPA