How Cloud-Based Encoders Are Transforming RCM

Blog
Aug 06, 2024
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Digital tools have transformed virtually every administrative aspect of healthcare, including revenue cycle management (RCM). Efficient data processing is critical in this domain, particularly for medical coding and claims submission. As healthcare organizations strive for faster reimbursements, a new wave of technology is emerging: cloud-based encoders. These innovative solutions promise to revolutionize RCM by streamlining processes, enhancing accuracy, and optimizing workflows.

Faster reimbursement

Most legacy encoding applications require significant IT resources to maintain. When there’s a disruption — either planned or unplanned — it quickly leads to bottlenecks and delays in processing records for coding and claim submission. Because cloud-based encoders benefit from cloud-oriented architecture, they’re able to be more dynamic and offer key advantages, such as:

Scalability: Cloud platforms provide on-demand processing power that automatically adjusts to your workload. No more struggling with limited server capacity during peak periods.
Automated updates: Cloud-based encoders stay current with the latest ICD-10 coding standards and healthcare regulations. Versioning happens seamlessly in the background, eliminating the need for manual updates and coding errors due to outdated software.
Faster turnaround times: With efficient processing and automated updates, cloud-based encoders reduce the time it takes to translate records into claims, resulting in faster submissions and quicker reimbursements.

Increased accuracy

Coding errors are a major reason for claim denials, leading to lost revenue and administrative headaches for healthcare organizations. Modern encoders offer advanced features to improve accuracy, including:

Real-time feedback: Cloud-based encoders provide real-time suggestions and flag potential coding inconsistencies as you work. This capability allows coders to identify and correct errors before submitting claims, reducing the likelihood of denials.
Machine learning: Some cloud-based encoders utilize machine learning algorithms to analyze vast amounts of data. This analysis can assist coders in selecting the most accurate codes based on specific diagnoses and procedures, further enhancing coding accuracy.
EHR integration: Seamless integration with electronic health records (EHRs) enables encoders to easily access patient data, minimizing the risk of errors and allowing for automated RCM workflows.

Optimized workflows

There’s no better place for automation than in the cloud. Cloud-based encoders can optimize workflows and improve overall efficiency in numerous ways:

Reduced IT burden: Cloud-based solutions eliminate the need to maintain on-premises hardware and software for encoding, freeing up valuable IT resources for other critical tasks.
Increased staff productivity: Automated features and real-time feedback in cloud-based encoders empower staff to work more efficiently. They can spend less time on repetitive tasks and focus on complex coding scenarios for increased productivity.
Remote work flexibility: Cloud-based encoders are accessible from anywhere with an internet connection. This accessibility allows for greater flexibility in staffing arrangements, enabling coders to work remotely without sacrificing productivity.

Leveraging the power of cloud-based encoders

While choosing the right encoder solution requires careful consideration, the potential RCM benefits are undeniable. Embracing this innovative technology can help healthcare organizations ensure steady cash flows and more consistent financial health.

 

Discover how to leverage the power of the cloud for better RCM at trubridge.com/solutions/trubridge-encoder-technology.