To put it bluntly, the current state of hospital coding and billing practices isn’t doing well. Recent statistics from the 11th annual CAQH Index report found a staggering 50 percent increase in healthcare administrative spending. This significant surge highlights a few critical issues: the growing burden on clinicians, a shortage of medical coders, and an aging workforce. These factors not only strain the efficiency of revenue cycle management (RCM), but the negative side effects trickle all the way down to the patient, impacting their quality of care for the worse.
But there’s hope: two compelling innovations in healthcare are ambient documentation and autonomous coding, both of which use the latest advancements in AI. Ambient documentation technology applies AI to conversations between physicians and patients to act as a medical scribe in real-time. Autonomous coding takes on the role of a medical coder, a professional certified in translating and assigning thousands of medical codes, to review clinical documentation and prepare claims for billing. And the industry is catching on. Abridge, a clinical conversation platform, recently raised $150 million in funding, and Google Cloud added an autonomous medical coding solution to its platform earlier this year.
While applications of AI have gained momentum with providers, many health system leaders are looking for more comprehensive, integrated strategies for onboarding AI, as a recent roundtable discussion at Becker’s emphasized. The combination of ambient documentation and autonomous coding is one such end-to-end strategy for significant impact on non-clinical functions. By using these technologies in tandem, providers can establish an end-to-end health IT strategy that accelerates administrative workflows and enhances patient care delivery.
Why Ambient Documentation and AI Coding are Key for Efficient RCM
Documentation and coding are vital but often overlooked parts of RCM. Ambient documentation allows physicians to focus entirely on their patients rather than worrying about taking notes and recording details of the visit. This focus improves the quality of care they provide and boosts the patient’s experience while cutting down on administrative burdens for physicians. Early results from ambient documentation vendors are impressive. For example, Augmedix reported that physicians who used its technology saved up to 3 hours per day, boosted productivity by 20 percent, and improved work-life balance by 40 percent.
Meanwhile, autonomous coding is faster and more accurate than manual coding, and it can pick up on details and nuances that a busy medical coder may overlook, meaning fewer or no claims backlogs and faster reimbursements. With the majority of encounters automated, medical coders have the capacity to focus on higher-complexity and higher-dollar encounters. For example, one nationwide physician group brought on AI coding automation and achieved a 90 percent successful automation rate, giving coders the bandwidth to take on more challenging tasks.
End-to-End AI in Action
To illustrate this end-to-end AI strategy in practice, let’s picture the impact from three different perspectives: patients, physicians, and RCM managers.
- For patients, the impact starts with a smoother experience at the office. Staff who have less administrative overhead can check in patients quickly and minimize wait time. During their visits, patients enjoy undivided attention from their physician as the ambient documentation technology takes notes automatically. The ambient AI technology ensures that every detail of the patient encounter is accurately captured in real time, reducing the risk of errors. Later on, AI coding ensures the billing process is quick and thorough, resulting in prompt and accurate payments from patients.
- Ambient documentation empowers doctors to get to really know patients. Without needing to pause and take down details of the encounter, doctors can ask more questions and probe more deeply during the tight slot allotted on their schedule. This extra focus helps doctors build stronger connections with patients, building trust and improving treatment outcomes. After visits, doctors aren’t immediately bogged down by administrative burdens like painstaking documentation and coding. And most importantly, they don’t need to catch up on administrative tasks outside of clinical hours.
- With ambient documentation and AI coding working in harmony, RCM processes are streamlined and optimized. The seamless documentation, coding, and billing automation saves time, minimizes claim denials, improves revenue capture, and accelerates cash flow. By virtually eliminating delays and errors in the revenue cycle, organizations achieve better financial health and longer-term sustainability. The enhanced accuracy and efficiency free up resources for organizations to invest in other priorities such as strengthening patient care.
Seamless Processes and RCM Efficiency
Integrating ambient documentation and AI coding presents an unparalleled opportunity to revolutionize RCM in healthcare. As the technologies continue to gain traction, the vision of a seamless end-to-end health IT strategy is within reach.
By combining these two technologies, healthcare organizations can streamline processes, reduce errors, and enhance efficiency while optimizing financial performance and delivering higher-quality care to patients.
The author, Dr. Shaka Bahadu is Client Growth Lead at Fathom Health at hi@fathomhealth.com.