Half Of Home-based Care Providers Plan To Ramp Up Ai Utilization Despite Privacy Concerns

As home-based care providers face mounting margin pressure and seek to boost operational efficiency, nearly half plan to increase their investment in artificial intelligence (AI) over the next 12 to 18 months.

Plans to ramp up AI investment come despite several concerns, according to a report from home care software platform AlayaCare. Data privacy and security ranked as the top hurdle, cited by 51.3% of providers. Cost and budget constraints followed, with 44.4% naming them as their biggest concern.

Still, many providers consider utilizing AI in the next 12 to 18 months a key priority, with almost 47% saying utilizing AI is a top-three or high priority.

“The organizations that will thrive are the ones that build AI literacy into their culture, focus on thoughtful change management, and adopt AI tools that augment rather than replace their teams,” Adrian Schauer, CEO of AlayaCare, said in a statement.

The survey included 115 responses from home-based care providers that use AlayaCare in the U.S., Canada and Australia.

A majority of respondents, 69%, said smart scheduling and visit matching would provide the most value if automated with AI. Documentation assistance ranked second at 51%, followed by compliance monitoring and reporting at 38%.

AI-enabled providers currently leverage the technology in a variety of applications, including to streamline the Outcome and Assessment Information Set (OASIS) process and remove administrative burden from caregivers’ workflows. 

Over 70% of providers say that increased operational efficiency will be among the greatest benefits of AI utilization, according to the report.

Improved efficiency helps providers maximize the value of their investments, experts have previously told Home Health Care News, and improve resilience in the face of the rapidly evolving home-based care operating landscape.

There remains a significant opportunity for providers to incorporate AI, according to the report. Only 10% of respondents reported that they have “fully implemented” AI tools. The majority, 64%, say they are still in research, planning, or are testing early pilots, while 20% say they have not yet begun to explore AI but are interested in doing so.

Less than 3% of respondents said they were not interested in AI for their organization.

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