Healthcare organizations are investing in automation more than ever to enhance efficiency, minimize manual work, and improve operational performance. However, while many automation initiatives show promising results early on, maintaining and scaling them over time often proves to be the greater challenge. This eBook examines why automation initiatives frequently lose momentum after go-live, what is required to sustain automations in the long term, and how healthcare organizations can scale automation effectively without adding operational complexity.

Healthcare automation starts with promise but ends up increasing workload, operational risk, and cost unpredictability, especially in complex, constantly changing environments like revenue cycle, patient access, and EHR systems. This eBook introduces LGI Automation Agent-as-a-Service (AAaaS), a managed automation model that shifts cost, risk, and accountability away from internal teams and into a predictable, service.

The U.S. healthcare system loses an estimated $17 billion each year due to inefficiencies in claims processing, with nearly one in four claims going unpaid. Additionally, 82% of insurance executives report that it takes more than 30 days to close a single claim.

This practical guide introduces LGI’s approach to Revenue Cycle Management (RCM) automation, using automation to streamline front-end, mid-cycle, and back-end processes. Learn about the benefits of automation, explore automation opportunities across the revenue cycle and access a step-by-step assessment framework to identify your highest-value use cases.

automation is transforming U.S. healthcare operations helping organizations reduce costs, improve accuracy, and address workforce shortages.

Healthcare professionals are experiencing significant burnout due to excessive administrative tasks, leading to decreased job satisfaction, increased turnover, and lower quality patient care. automation provides a promising solution by automating repetitive, non-clinical tasks such as insurance verification, data entry, and appointment scheduling.