– Share best practices, lessons learned, and success stories across the organization to inspire others and reinforce the value of AI-driven innovation.
Overall, a successful implementation of AI for revenue cycle management results in a more efficient, accurate, and financially healthy healthcare organization, ultimately leading to better patient outcomes and satisfaction.
Vendors

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These top vendors have AI-powered RCM solutions that fit healthcare orgs' needs, boosting revenue cycles and financial performance. Selection depends on organizational requirements, budget, and desired outcomes.
1.
Cerner Corporation: Optimizes billing, reduces claim denials, and accelerates revenue cycles using machine learning for coding automation and charge capture enhancement.
2.
Epic Systems Corporation: Integrates AI-powered RCM tools with EHR systems to automate claims processing, identify coding errors, and enhance reimbursement accuracy.
3.
Change Healthcare: Combines advanced analytics, predictive modeling, and RPA to optimize revenue cycle operations, reduce costs, and accelerate cash flow for healthcare providers, payers, and service providers.
4.
McKesson Corporation: Provides AI-enabled RCM solutions to optimize revenue capture, minimize leakage, and improve financial performance through predictive analytics and denial management.
5.
Allscripts Healthcare Solutions: Streamlines billing processes, automates workflows, and improves payment accuracy using machine learning algorithms to reduce claim denials and optimize reimbursement strategies.
6.
athenahealth Inc.: Leverages predictive analytics and automation to optimize billing, improve revenue capture, and enhance financial performance, integrating with EHR systems for streamlined claims management.
7.
Waystar (formerly ZirMed): Uses machine learning algorithms to identify billing errors, reduce claim denials, and improve revenue integrity across the revenue cycle for healthcare providers and RCM companies.
8.
NextGen Healthcare: Automates administrative tasks, streamlines claims processing, and optimizes revenue cycle workflows through predictive analytics and data insights to improve financial outcomes.
About the author: Tina Hatlee is senior analyst for purchased services at symplr.Back to HCB News