HLTH: Revolutionizing Claims Accuracy and Efficiency with CERIS’s AI Solutions
Leveraging AI and machine learning to improve payment integrity in healthcare by automating processes, reducing costs, and enhancing claims accuracy.
In this episode, Steve Sutherland, the Senior Vice President of Information Systems at CERIS, talks about how the company is leveraging AI and machine learning to improve payment integrity in healthcare by automating payment processes, reducing administrative costs, and improving accuracy in claims adjudication. He emphasizes the importance of security, compliance, and quality data, along with the need to build trust among healthcare professionals. Steve also advocates for the bold adoption of cutting-edge technologies and highlights the importance of pilot projects and proof of concept to align business strategies with technological capabilities.
Tune in and discover how CERIS leverages AI and machine learning to improve payment integrity in healthcare!
About Steve Sutherland:
Steve has been with CERIS since 1996 and has always been driven by his passion for making a difference for our clients and positively impacting healthcare and patients. Steve enjoys being challenged with the opportunity to build and create. As CERIS has grown over Steve’s 28-year tenure, he has consistently risen to the challenge of the organization’s growing needs. He is proactive in building efficiencies and leveraging technology to keep CERIS ahead of the curve, bringing a wealth of knowledge and experience to the organization.
Things You’ll Learn:
CERIS is leveraging AI and machine learning to improve payment integrity, reduce administrative costs, and enhance accuracy in claims adjudication.
Automating payment processes can significantly reduce administrative burdens and improve overall efficiency in healthcare.
Implementing AI tools requires a strong emphasis on security, compliance, and quality data to build trust and ensure privacy.
Building trust and gaining buy-in from healthcare professionals is essential, as AI is often met with skepticism due to data governance and privacy concerns.
CERIS encourages bold adoption of cutting-edge technologies and collaboration with partners to drive innovative solutions, emphasizing pilot projects and proof of concept for building confidence.
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