Upskilling, Empathy Are Keys to AI Change Management in Home-Based Care
Home-based care leaders say AI tools only help if employees actually use them, and that leading with empathy and framing adoption as upskilling is central to success.
Key Facts
- Affected providers
- Home Health
AI-based tools can ease chronic home-based care staffing shortages, administrative labor, and scheduling difficulties, but the tools are only effective if employees actually use them, according to executives interviewed by Home Health Care News.
A Home Health Care News pulse survey of 20 providers found that 73.3% of home-based care providers are exploring AI use cases, piloting AI tools, or integrating them in select departments.
The survey identified gaps in training: 40% of respondents reported no formal training for employees, while lack of staff trust and buy-in was the largest reported barrier to AI adoption.
Greg Meyers, COO of TheKey, said projects fail not because the solution does not do what it needs to do, but because adoption does not actually happen, adding that a lack of solid change management can sink a project.
Executives cited time constraints, fear of lost productivity, and threats to professional identity as the biggest hurdles, and described a productivity curve in which output dips after a new tool is introduced before rising above pre-deployment levels.
Leaders from Tribute Home Care and CommonSpirit Health at Home described practical strategies, including defining AI key users in each department, involving them early in tool development, and framing change management as upskilling.
Sources & References
Attribution: HHH Newsroom by KDG summarizes and analyzes publicly available source material. Interpretations in this article are not statements of law. Always verify against the linked primary document.