BUSINESS CHALLENGE

A major Australian healthcare provider, delivering wound care services to patients across nearly 100 long-term, subacute, and supportive living facilities, was struggling with the sheer volume and complexity of its medical billing operations. Each week, the organisation treated approximately 1,500 patients, generating a massive number of clinical documents – charts, notes, wound assessments, and prescription details, all of which required precise interpretation to determine accurate billing codes.

The coding process was entirely manual and required highly skilled staff or experienced programmers who understood the more than 50,000+ Medicare codes that could apply to different clinical scenarios. Human interpretation made the process slow, inconsistent, and highly prone to error. Even small mistakes in coding led to:

• Delayed Medicare payments,
• Rejected or unpaid claims,
• Significant loss of revenue, and
• Backlogs that slowed down the entire revenue cycle.

With the organisation expanding rapidly and daily billing volumes increasing, the manual process simply could not scale. The client needed a solution that could ensure speed, accuracy, and compliance, without relying on resource-heavy manual work that diverted medical staff away from patient car.

STRATEGIC SOLUTION

Adactin designed and deployed a fully automated Robotic Process Automation (RPA) solution to transform the client’s medical billing and coding workflow. Instead of relying on manual document reading and human judgement to match clinical information with appropriate Medicare codes, the solution introduced intelligent bots capable of analysing hundreds of charts each week consistently, quickly, and without fatigue.

The automation incorporated native machine learning capabilities, enabling bots to:

• Interpret clinical notes, wound descriptions, and prescription information,
• Identify indicators that map to the correct Medicare billing codes,
• Generate accurate, ready-to-submit invoice codes, and
• Integrate seamlessly with internal billing systems or external billing providers.

The bots were designed with a high level of reliability and repeatability, ensuring that even as volumes grew, coding standards remained consistently accurate. This freed medical staff from the burden of repetitive administrative work and allowed them to focus on complex cases and patient care activities, improving overall operational efficiency.

BUSINESS OUTCOMES

Implementing the RPA solution delivered immediate and measurable improvements across the organisation’s billing operations. The automation not only enhanced coding accuracy but also dramatically reduced turnaround times for claim submissions. Key results included:

• 95% reduction in manual work, significantly lowering administrative overhead.
• 90% improvement in coding accuracy, reducing claim rejections and ensuring faster Medicare reimbursements.
• 80% reduction in processing time, enabling same-day or near-real-time submission of invoices.

These benefits improved cash flow, strengthened compliance, and freed medical teams to focus more on patient-centred tasks rather than administrative burdens.

References

Technology: RPA Bots with ML-driven document interpretation