Tag: Thomas Thatapudi

AGS Health-HFMA Survey Finds Healthcare Finance Professionals Have High Expectations for, Limited Understanding of Autonomous Coding

Autonomous coding enjoys a high level of trust among healthcare finance professionals who use or plan to use the technology, with 45 percent indicating it often works well and 16 percent placing complete trust in it. Yet despite its emergence as a powerful tool for streamlining and improving error-prone manual coding processes, autonomous coding suffers from an awareness problem, with 52 percent saying they do not know what it is.

Those are the findings of a new survey from the Healthcare Financial Management Association (HFMA) on behalf of AGS Health, a leading provider of tech-enabled revenue cycle management (RCM) solutions and strategic growth partner to healthcare providers across the U.S. More than 450 healthcare finance professionals were surveyed during the 2023 HFMA Annual Conference on their knowledge of and value expectations for autonomous coding, including 60 percent that use or plan to use autonomous coding.

More than half (52%) of respondents said they don’t know what autonomous coding is and 30 percent either did not or were unsure if it could be trusted.

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Thomas Thatapudi

“Despite high expectations around its potential to increase coder productivity and coding accuracy, reduction in denials, missed charges and low-risk scores, and accelerated provider decision-making, autonomous coding suffers from a knowledge gap that must be closed if we are to see broader adoption,” said Thomas Thatapudi, CIO of AGS Health. “Until we can fully educate finance leadership on the potential autonomous coding holds for improving the healthcare revenue cycle, we are unlikely to see an acceleration in use cases for AI-powered technology which includes autonomous coding.”

Among the key benefits of autonomous coding is its ability to eliminate the potential for human errors that result in missed reimbursement opportunities, backlogs, delays, and claims errors, and its ability to push accuracy levels to near perfect percentages. All of which can be achieved in near real time with the right integration pipelines. Autonomous coding is also faster than its human counterparts – it can complete charts in seconds – yet it also understands what it does not know, flagging it for human review.

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AGS Health Launches Artificial Intelligence Platform for End-to-End Revenue Cycle Management

AGS Health, a  revenue cycle management (RCM) solutions provider and partner to some of the largest healthcare systems in the U.S., launched its AGS AI Platform, a connected solution that blends artificial intelligence (AI) and automation with award-winning human-in-the-loop services and expert support to maximize revenue cycle performance.

Industry-wide, health systems are being stretched as they face chronic and worsening labor shortages while attempting to address higher denial rates and an onslaught of audits. Shrinking margins limit organizations’ ability to reinvest in care delivery. In this time of high turnover, the AGS AI Platform helps to reduce stress, prevent burnout, and improve job satisfaction by offering the ability to automate high-volume repetitive tasks, allowing skilled staff to focus on more complex tasks.

“AGS Health is excited to deliver this platform as a lifeline to provider organizations in challenging times,” says Patrice Wolfe, CEO of AGS Health. “With our industry expertise, AI-enhanced technology, and specialized services, AGS Health is helping healthcare organizations achieve the financial freedom necessary to invest in the latest healthcare innovations and deliver high-quality care to their communities.”

The platform allows healthcare organizations to gain enhanced visibility into day-to-day operations and the overall performance of the revenue cycle, including intelligent worklists, productivity reports, customizable dashboards, root cause analyses, and executive reporting. Performance trends and predictive analytics help to prevent bottlenecks, reduce denials, and mitigate revenue leakage.

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