During our research intoadoption of generative AI within home-based care, one key theme stood out: While management teams exhibit a distinct "rational enthusiasm" about the potential of this iteration of AI, the sense from these same teams is that their broader organizations are far more skeptical of tools that augment humans so symbiotically.
Althoughgenerative AI is seemingly taking the healthcare world by storm, this branch of AI is the culmination of a decades-long technological advance with wide-ranging adoption by bothdevelopersand end users. ChatGPT hassimply given usa browser-like portal into a realm of development capabilities that are already incorporated into some of the digital tools we interact with daily.
Three Seismic Shifts in Home Care
In home care, we are in the midst of at least three seismic organizational transformations: Workforce upheaval; volume to value; and now, we contend, artificial intelligence.
The upheaval to workforce dynamics is, of course, widely apparent;
Most of us have, to varying degrees, made our way down the volume to value road;
Very few have even scratched the surface on embracing AI as an embedded business partner.
Five Answers Needed for Enterprise Change
Bridging the change management divide between the enthusiasm of management - who have far more information - and workforce enthusiasm is a far bigger task than simply digesting emerging technology x, y, or z. Tectonic change can't just be dropped on a business; it has to trickle down in an orchestrated series of Q&A style iterations.
To change, the majority of an enterprise ultimately needs toacceptthe answers we provide to five specific questions:
What is the environment we face?
What are the implications of this environment for our business/sector?
What are our options for dealing with these implications?
Which option is best for our business based on all available information?
Who wins/loses when we choose a new direction or strategy?
Embracing AI's Risk/Reward Proposition
Even the best-intentioned strategy shifts entail a combination of upside and downside. While AI can help us with our workforce and value challenges, the harsh reality is that AI will replace certain human resources (particularly in the back office). One opportunity staring back at us: Can we redeploy this resource where it's needed - on the front lines of care?