Automated payment posting boosts productivity and eliminates the need for human insurance payment processing. Users may define as many bespoke and detailed rules as they like with this bot. In addition, organizations may educate the bot to post payments in the same manner as they would a new employee. Finally, these bots may highlight unpaid claims for more labor and appropriately submit refunds or takebacks.
Revenue cycle departments have been able to automate up to 70% of the back end of the medical billing process by integrating payment posting bots and even patient collecting bots, enhancing efficiency and lowering operational expenses.
RPA bots fill in EHR forms and replicate essential data across multiple systems, decreasing human error and allowing doctors to spend more time with their patients. You can automate sending data between one EHR and another, pull the data from your existing EHR to your CRM, etc.
Claims Administration & Submission Process
Human mistake is a common cause of first claim denials in claims administration. RPA bots automate various claims administration operations, including charge entry in medical billing, payer rule checks, and submission.
Boost Patient Communication
RPA bots create an email summarizing information about a service’s pricing or other consumer inquiries mentioned during a phone conversation. Reminders can also be triggered via bots (I.e., emails & SMSs).
Accelerate Cost Estimation
RPA bots help healthcare businesses automate benefit retrieval and cost estimation operations by linking the patient’s profile with the medical services provided and calculating the cost using the price list already available in the database.
Minimize Manual Data Entry
RPA bots aggregate data from many systems and sends it into a single patient accounting system, reducing the need for manual data entry. OCR is also used to extract data from images & PDFs efficiently and error-free to be plugged into the system automatically.
Automate Claim Denials
Bots can automatically address any simple errors and then resubmit the claim. The denial can be passed to a human for more complex errors but will provide detailed patient and denial information, significantly speeding the rework time. As RPA bots take responsibility for denial management step-by-step, staff may focus on more complicated denials.
The revenue cycle of robotic process automation allows healthcare businesses to get data from different websites and systems and integrate it directly into the Hospital Information System (HIS). In some situations, it also applies to pre-approvals.
Integrate Third-Party Applications
RPA bots function as a middleman between disparate third-party tools, allowing data to be shared and processed without human interaction.
Improve the Consumer Experience
Healthcare firms are increasing the consumer experience by utilizing RPA-driven internet chatbots to answer simple questions. Besides managing the chatbots, RPA can improve the speed and quality of responses on other sources.
What are the steps for implementing RPA to improve medical billing?
1. Perform process audit and validate requirements
Businesses should devise a strategy for selecting the best processes and then prioritizing them based on factors such as complexity and return on investment. Next, consider how automating these activities will appear, what it will accomplish, the business context in which it will be used, and how it will fit into future business operations or the broader automation journeys. During this step, RPA consultants will map your processes, review your current tool stack and compare them with your business goals and requirements.
2. Perform Feasibility Assessment including process discovery & even legal compliance check
Perform a feasibility analysis for each process to see how much can be automated. This two-step procedure involves examining the process and determining technical viability. The operation user, an SME (Subject Matter Specialist), and an RPA expert should conduct this assessment.
Determine whether procedures are not organized, standardized, optimized, documented, or implemented as anticipated based on the feasibility assessment study. Attempt to reoptimize and reorganize the process at this point.
4. Gather User Stories
A user narrative defines the aspects of an application that will be constructed from the end-user perspective. It goes through all of the user’s needs in great depth. It’s also critical to have a thorough description of each operation that will be automated. Based on this information, develop a process description document with defined RPA processes for the development team.
5. Start the Development Process by setting up the environment
The development process begins at this step, depending on the RPA workflows that have been developed. The developers generate automated scripts and program code using RPA technologies such as UiPath, Blue Prism, etc. Because each RPA tool has its capabilities, firms need to be very particular when selecting the right solution for their purposes.
6. Test RPA Process via a PoC before live deployment
Conduct extensive testing to examine performance in all conceivable circumstances and to identify faults when the procedure is run. Send any possible performance or bug concerns to the development team for resolution.
7. Reconfirm & Deploy
Once the development teams have rectified the first tests and problems, double-check the results, and deploy the entire RPA solution.
RPA in medical billing – what should you remember?
Are you in the process of implementing RPA in medical billing already? Here are five things you should keep in mind:
Select the right RPA technology vendor
Different RPA technologies (such as UiPath, Blue Prism, Power Automate, Kofax, and more) are available on the market, providing various levels of efficiency, licensing costs & features. Depending on your business requirements, some technologies may be more suitable for your needs than others. So make sure to consult that before jumping straight to RPA development!
Bet on the right developers
Following the same approach above, recruiting skilled RPA developers is crucial. The developers must have the relevant technical skills and experience to independently set up the environment and create the automation workflows with minimum downtime. In addition, this skilled personnel can finalize the project and keep the possibility of scaling up in the future when needed.
Ensure legal compliance
All created workflows & bots must be legally compliant with each local market (i.e., compliant with HIPAA’s three rules in the US)
Select the proper process.
Process Selection for automation requires the right skills to define what is needed and what tools and development/testing methodology is necessary to achieve the required business automation needs.
Follow the right KPIs
KPI Selection is based on the business needs, which differ based on the required outcome of this project. An example here would be RPA KPIs Selection, including but not limited to: increased productivity, ROI, reduction of downtime, and others.