Using Intelligent Automation to Improve Healthcare Operations
AI-powered automation can help healthcare organizations improve key operations, especially revenue cycle management.
- Healthcare leaders are increasingly looking for opportunities to leverage automation to reduce inefficiencies impacting their revenue cycle and free staff to focus on efforts that improve care delivery and patient experience.
According to AKASA Co-Founder and Vice President Ben Beadle-Ryby, automation has moved from a nice-to-have to an essential component of modern healthcare operations. “One of the ways automation can help is by addressing the longstanding administrative waste that is happening in healthcare,” he says.
A $4-trillion industry is responsible for over $500 billion in waste associated with billing and insurance when providers and payers fail to communicate effectively. Advancements in artificial intelligence prove capable of reducing this waste and allowing healthcare professionals to focus on tasks where the human element shines brightest.
“This is an area where routine, mundane tasks absolutely must be addressed by automation,” he explains. “And it takes an advanced form of AI and machine learning to truly take on comprehensive complex tasks, but by doing so, it enables health systems to better deploy the staff they have toward patient-facing activities and care activities.”
By collaborating with a strategic technology partner, healthcare organizations can improve revenue cycle management and day-to-day business operations with intelligent automation.
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AKASA is building the future of healthcare with AI. AKASA’s expert-in-the-loop approach, Unified Automation™, combines machine learning with human judgment and subject matter expertise to provide robust and resilient automation. Unified Automation adapts to the dynamic nature of revenue cycle operations and is purpose-built for healthcare
