Artificial intelligence has the potential to help small, rural and independent healthcare organizations optimize operations and combat staff shortages — ultimately benefiting the patients that rely on their services.
But rural hospitals often lack the infrastructure and specialized expertise that have allowed larger health systems to integrate AI more readily.
“Rather than trying to deploy AI broadly, teams tend to see the most success when they start with one well-defined problem and then choose tools designed to work within existing workflows,” Rhew says.
AI-powered systems can help hospital administrative teams investigate and resolve denied claims, potentially leading to financially impactful reimbursements.
“For rural hospitals and their IT teams, the easiest tools to adopt tend to be those that address a clear pain point and don’t demand significant new infrastructure or expertise,” says Rhew.
An early successful use case is the adoption of clinical ambient listening tools.
Adopting tools designed and developed by outside experts is the most efficient strategy for implementing AI in rural healthcare settings.
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